SOUND MIND: THE FUTURE CAMPUS ADAM CHOWN, BEN SAYERS, DAN CRUSE ST2 PORTFOLIO
THESIS STATEMENT “If we continue to neglect the interconnected relation between space, activity and sound, we will most certainly fail to create sustainable urban development where the sonic environment is included as an important and self-evident aspect of the human experience.� Hallgren (2012)
THE PROBLEM
METHODOLOGY
SOLUTION
Increased environmental noise in urban areas has a direct correlation with increased mental illnesses.
We aim to use methods and lessons from the pavilion experimentation to design a building scale project.
Our solution is to develop a multi-faceted noise preventative framework which can be utilised on other scaled projects.
INTRODUCTION This project leads on from the experimentation of mental health prevention through sound therapy within a pavilion. We aim to tackle multiple ways environmental noise can be eradicated through different design methods at the building scale. The methods could potentially see application for new build or re-use of urban scale or occupancy scale projects.
4
0.1
01
CONTENTS
04 STRATEGY
APPROACH
Thesis Context This portfolio builds upon our previous research in acoustic application for the benefit of mental health. Our thesis takes experimentation from a pavilion test bed to a building in an urban context.
Understanding how sound can be manipulated at a building scale effectively.
The identification of ways in which computational methods can leverage the development of our architectural project.
02 PROBLEM IDENTIFICATION
05 DESIGN CONSIDERATIONS Privacy
SYSTEM CONNECTIONS
Privacy
d B ar
r
ba
Fa c a d e
Temperature 50m Control
TemperatureIncreased Control Daylight
ng
un
e
s
n Zo ni
Increased Daylight
25m
N W
E S
En
velo pe
rie
O
Pa n els
ti o
H
n
i m iti
Ur
So
P
rox
ie r
s
SYSTEM WIDE INTERACTIONS
eig h ta We discuss a key issue in a much larger landscape than nthe site. A narrower topic for discussion is identified as a major cause and a variety of solutions are explored. Noise
t
Describing the process of creating a system for design implementation Noise Increased Ventilation Prevention
Prevention
03 CONTEXT Understanding the context in which our site sits.
06 METHOD View Availability
Increased Ventilation
View Availability
Testing and optimising the solutions created by the system in the design space.
1.0 2.0 3.0 4.0
APPROACH
PROBLEM IDENTIFICATION
CONTEXT
STRATEGY
In this chapter, we explore the computational theories which we will be using to inform our methods. Similarly to ST1, we will be utilising generative design methods, but within a framework of other computational theories.
HOW CAN COMPUTATIONAL TOOLS INFLUENCE THE DESIGN PROCESS? In this section we build upon our knowledge of generative design from our pavilion experimentation to further our computation competence, in order to better inform our design.
Optimisation Problem
P Start
GENERATIVE DESIGN
Start
WEIGHT
MATERIAL
Generate Initial Population
Input Parameter
7
1.1
4
How do Machines Replicate Natural Evolution?
Calculate Individual Fitness
The generative design process consists of four key stages: design, performance
Stage
Max
Does Yes Generation Satisfy Stop Criteria? Deformation
The diagram on the right describes this outline of the process. The diagram on the left explains these sections in more detail. In our process, we target an problem we’d
Min
like to solve, and create a parametric
No
design which can adapt evolutionary -
1 2
Performance Metrics
The design of a series of performance metrics which can be used to measure the performance of a single design.
End
Objective Functions
metrics, exploration and data investigation.
Stage
Design
The design of a geometric model which can create many design variations.
Stage
3
Exploration
The exploration of the model’s design space through a MOGA (multi-objective genetic algorithm).
Objective
functions
and
Constraint Functions
summarised as the design stage. Random Selection of ParentsHEIGHT
constraint
<4
functions determine the makeup of the
Crossover to Produce Children
design space, therefore the performance
Evolutionary Process
metrics of the design.
PP
is a human element and cannot be carried
End
out using computational functions, as it parametric prioritiies.
in the direct analysis section https://medium.com/
? ?
?
? ? ? ?
?
?
?
P P P P P
Direct Analysis
demands the weighing up of a number of
number of different methods, demonstrated
4
Mutation of Children
The exploration of the iterations produced
The data investigation can come through a
Stage
Data Investigation
The investigation of the resulting design data through statistical analysis.
Generation
8
An initial population is randomly generated with a sparse variety of genomes/phenomes. A small segment of these solutions will be suitable to carry forward.
1.2
GENETIC ALGORITHMS How can we Automate Generative Design with Computation? To carry out an evolutionary process with the use of computation, each function of the generative process must be written in code. The total process of this can be described as â&#x20AC;&#x153;Genetic Algorithms.â&#x20AC;?
Start Generation Generation
Crossover Parent 1 P1 C
P2
Parent 1
Calculate Individual Fitness
Child
Crossover
Crossover Selection
In our project, an initial group of designs will be generated and their fitness values are calculated. Depending on their fitness value, a feedback loop of random selection, breeding and mutation is implemented until a suitable design iteration is found. This is not a fully automated process and requires human input to decide which design iterations are suitable.
Phenomes are selected from two individual solutions (parents) and crossed over to create the next generation (child) which takes phenotypes from both parents.
Generate Initial Population
Using a set of performance metrics we can decide which phenotype are most desirable in the specific environment. These individuals are classed as suitable and selected for further crossovers.
Selection Mutation Finally, a minority of children will mutate, which develops a larger gene pool, in which new phenomes developed can be carried into later generations.
Yes
End
No
Random Selection of Parents Crossover to Produce Children
Selection
Mutation Mutation
Does Generation Satisfy Stop Criteria?
Mutation of Children
Evolutionary Process
9
1.3
EXPLORING THE DESIGN SPACE The Human Interaction with Generative Design With the creation of the design space in mind, we created a design space which holds a balance of bias and variance, continuity and complexity, exploration and exploitation. In this exploration, we decide on our spatial configuration in which the spheres represent our desired spaces. With a balanced design space, we were able to generate around 100 iterations which gave enough variety. Using certain tools we can filter through a large number of iterations by defining what the desired outcome should be. By selected more suitable solutions, we can carry a strong ‘gene pool’ to the next stage of the process.
https://medium.com/
Generate
Evaluate
Evolve
We must designate a ‘design space’ as a closed system which can generate all possible solutions for the design
This develops measures in which the system judges each design performance.
The use of evolutionary algorithms to search through the design space and select unique high performing designs.
Finite Element Analysis Method
10
Finite element analysis sums up the performance of a design element using small discrete elements. This is typically used in structural analysis but is also a useful way of measuring sound on a 2D plane.
1.4
PERFORMANCE METRICS
Static Methods
How can we Measure our Design
Ray Based and Graph Based Methods Ray based analysis measures rays projected from an emmitting source. The way the rays react with itâ&#x20AC;&#x2122;s environment can be measured. In our method, rays would represent sound waves, and their reflection dynamics can be analysed.
Creating the design space only delivers half the requirements of the optimisation algorithm. The algorithm needs to know what a successful iteration is and what an unsuccessful iteration is. Performance metrics can be categorised
Physics Based Solvers and Computational Fluid Dynamics
through static and simulation methods. Generative
design
searches
through
hundreds of iterations in a relatively
This level of design assessment is far too complex for generative design. It calculates the performance of an object with all the forces within the environment acting upon it, to put it in a state of equilibirum.
short period of time, which requires static methods of analysis. For sound testing analysis, finite element analysis is a good method for measuring sound distribution on a plane (plan or section) at the beginning and end of a generative process. However, ray based methods allow for more precise manipulation as well as a better understanding of how the sound behaves in 3D space.
https://medium.com/
Simulating Performance
Crowd Simulation This method of analysis is useful when studying social interactions within a defined space, but is also too complex for generative design. Simulations can be designed so agents assume human characteristics in order to predict how people navigate within a space for testing before building physical environments
11
1.5
DESIGN OPTIMISATION
Parameters = X, Y and Z axis
How do we Find High Performing Solutions?
Objectives = Minimise the volume of the box around the box inside
Once we have a design space which
Vector of Input Data
Objective Functions
Constraint Functions
Input parameters that encompass every possible output
The objectives/goals of the optimisation
Constraints describe the feasibility of the possible solutions
has correct input variability and output measurement, we need an optimisation process which replicated that in the natural evolution, in order to find a variety of high performing designs. The optmisation process is defined by these
z
three stages: 1) input data which describes each iteration within the design space. 2) objective functions which outline the desired outcome of the model. 3) constraint functions which assesses the viability of each design using performance metrics. Som ‘optimisation problems’ can be solved directly using genetic algorthms, however most of the time, a design will have to be optimised incrementally. For our design, we’ll need to optimise in multiple steps, as we describe in more detail later, because our design will have multiple optimisation problems.
https://medium.com/
x
y
Constraints = Maintain the volume of the internal box
12
1.6
COMPLEX ADAPTIVE SYSTEMS What is a Complex Adapative System? A complex adaptive system is a system in which a perfect understanding of individual parts and interactions does not auatomatically convey a pefect understanding of the whole systems
The CAS Dismantled
behaviour. each individual agent interacts and creates system wide patterns this will then influence the future interactions and the loop will continue, meaning the final ouput will not be clear through the input.
Volume
Effectiveness
Porosity
Void
Proximity
Transportation
Vertical layers
Function
Accessibility Horitzontal layers SYSTEM CONNECTIONS
13
1.7
SMART SOLUTIONS
Management System Air Quality/ Pollution
A Smart approach to acoustics management and planning in urban areas.
Park Maintenance
Automation
Risk evaluation
Live Data
Connectivity
Electricity Management
Smart solutions for acoustics within an urban environment already exist through use of a range of acoustic sensors, currently used in a number of test cities accross the
Mobility Patterns
Smart City Sensor
Acoustic & Noise Levels
globe. Through using these technologies, there is a greater control and governance
Limit values
over urban acoustics. This includes access
Traffic Management
to live data feeds that can be introduced into building design during the design phase and also post occupancy. It is these
Information Building Systems Management
methods that should further reinforce a
BIG Data
Waste Management
reactive building to a constantly changing
Reactive Solutions
urban soundscape.
Quantify the results of action plans
Improve control in noisy and problematic areas
Anticipate citizen demands
Make information accessible
Feed live data into reactive building systems
Counterract the ever changing urban soundscape
14
1.8
ACOUSTIC PATTERN LANGUAGE
Urban Soundscape
In the Context of Environemental Noise
Transportation/ Works
Our inventory refers to a series of connected
People Presence
â&#x20AC;&#x153;patternsâ&#x20AC;?. A pattern language is a method of describing good design practices or patterns of useful organization within a field of expertise. In the context of our study into environmental noise the pattern language is a way of understanding the different
With People Present
Without People Present
Relaxing + Nature
Lively
levels and causes of environemntal noise in an urban soundscape.
References: [2] Denef, S., 2020. A Pattern Language of Social Media Practice in Public Security. [Online] Available at: http://media4sec.eu/pattern-language/ [Accessed 28 January 2020]. [3] Raimbault, M., 2005. Urban Sounscapes: experiences and knowledge. Elsevier, 22(05), pp. 339-350.
Cars Screeching
Noise of Workers
Engines
Music + Chat
People Walking
People Shopping
Children Playing
Birds Singing
Traffic Lights
Construction Site
Traffic Flow
Coffee Shop
Pedestrian Area
Market Place
Playground with Fountain
Garden
COMPUTATION FOR OPTIMISATION We can use the previous theories as a framework for the generative methods we learned in studio 1. The application of complex adaptive systems, smart solutions and Christopher Alexanderâ&#x20AC;&#x2122;s Pattern Language can further inform our design methods.
1.0
APPROACH
2.0 3.0 4.0 5.0
CONTEXT
PROBLEM IDENTIFICATION In this chapter, chapter we we explore explore the the bounds problemofofour mental site and health. aim We to understand also explorethe theimplications ways in which of environmental a building noise in scale project central willManchester. react differently to a pavilion project to prevent mental illnesses.
STRATEGY
DESIGN CONSIDERATIONS
HOW CAN ARCHITECTS PREVENT MENTAL ILLNESSES? In this chapter, we explore the ways in which mental illnesses are an architectural problem, and how we can go about solving these problems.
18
2.1
MENTAL HEALTH Statistics 1 in 4 people experience mental illnesses each year[1]. Mental illness is the single largest burden of disease in the UK[2], being more common, longer lasting and impactful than other health conditions[3]. There are roughly 6000 suicides each year and it’s the biggest killer of men under the age of 49, with the majority of mental conditions developing within people’s adolescent years[4]. We have identified mental health as an emergent concern within today’s wider context. For this reason we aim to present a thesis project which can aid the development of mental illness prevention. [1], [2], [3] - https://mhfaengland.org/mhfa-centre/research-and-evaluation/mental-healthstatistics/ [4] - https://www.bbc.co.uk/news/health-41125009 https://www.mentalhealth.org.uk/statistics
4.4 in 100
Post traumatic stress disorder (PTSD)
5.9 in 100
Generalised anxiety disorder
7.8 in 100
Mixed anxiety and depression
3.3 in 100
Depression
20.6 in 100
Suicidal thoughts
2.4 in 100
Phobias
6.7 in 100
Suicide attempts
1.3 in 100
OCD
7.3 in 100
Self-harm
0.6 in 100
Panic disorder
19
2.2
ENVIRONMENTAL NOISE How does Environmental Noise Affect Mental Health?
Mortality
“The evidence from epidemiological studies on the association between exposure to road traffic and aircraft noise and hypertension
disease
Sleep Disturbance, Cardiovascular
in ischaemic heart disease has increased during recent years.” Environmental noise can have negative effects due to their “micro stressor” characteristic. Similar to other small
risk factors
Blood Pressure, Cholesterol, Blood Clotting, Glucose
disturbances, the build up of these stresses can damage mental health. “At least one million healthy life years are lost every year due to traffic related noises
stress indicators
Autonomous Response, Stress Hormones
in the western past of Europe.” Environmental Noise and mental illnesses aren’t typically associated, despite it’s implications. This is why we aim to tackle
feelings of discomfort Annoyance, Disturbance
this problem in the wider context of mental illness prevention.
World Health Organisation - https://www.who.int/quantifying_ehimpacts/publications/e94888. pdf?ua=1
Number of People Affected
2.3
20
URBAN SOUND PLANNING Planning of the Acoustic Qualities in an Urban Environment Urban Planning does not consider sound with any significance, and as a result, creates micro-stressors in people’s lives. “If we continue to neglect the interconnected relation between space, activity and sound, we will most certainly fail to create sustainable urban development where the sonic environment is included as an important and self-evident aspect of the human experience.” Hallgren (2012)
Architecture
Communications
Materiality Reverberation Form & Facade
Sensors Technology
Services
Communities
Construction Transport Vehicles Commercial Activity
Steps Voices Sports Activities
References https://www.unece.org/fileadmin/DAM/trans/doc/2016/wp29grb/GRB-63-05e.pdf
“We need more pronounced architectural tools to optimize the living conditions for urban inhabitants exposed to urban noise, which is causing psychoacoustic annoyance and even hearing loss. A sonically stressed population may also be productively impaired” Ponten (2009)
2.4
ACOUSTIC COMFORT
Mental Health Stress
Factors and Causes of Poor Acoustic Comfort That Have a Direct Correlation to Mental Health
Increased Disease
Factors that Drive Acoustic Comfort
21
?
??
?
M
ax
? M
in
Familiarity of Sound
Predictability of Sound
Controlabilty of Sound
Personal Preferences
being, increased risk of high blood pressure, circulatory disease, loss of efficiency due
Decreased Productivity
to illness or fatigue resulting from sleep deprivation or ineffective resting periods - caused by noise stress. therefore it is essential that environmental sound is
Fatigue
included in urban design.
Chnaging Future Environments
Stress, negative effects on health and well
Architects need to be more responsible around us changing, the levels of noise will also change. Not only this but the spectrum of different sounds will increase leaving more people susceptible to the damaging effects of harsh environmental noise.
Sleep Deprevation
Negative Wellbeing
Design Considerations
Woooosh
for acoustic design. With the environment
Vroooom
Interior
Exterior
Programme
Spectrum of Noise 2020
2070
for mitigating and controlling the urban soundscape. Many of these methods are
OUR PROJECT FO CUS
application, however there is justification for other means. These include the use of electric cars and other modes of electric transport, and community knowledge of noise pollution. We will focus our
m
d Bar
r
ba
Fa c a d e
ng
un
e
s
i m i ti
Ur
So
toward a controlled urban soundscape,
rox
P
study on the architectural application
ie r
s
50
n Zo ni
25m
N W
controlling and manipulating internal and
E S
external noise to meet current and future programatic requirements. velo pe
ri e
n t ati o
n
En
O
Pa n els
H eight
n
se
m in at
s
od
n ti o
on
di
ent
e
ur
w Te c h
An overview of the possibilities found
found through practical architectural
s iv
Re duc
Dis
Ne
c a ti o n
P as
se
c i p a ti
i
Lo
Fe at
r ti
n g B u il
No
ni
Tr e a t
Pa
u
te r
Gre e
nd
Fo li g e a
Wa
Architectural & NonArchitectural Ways of Treating and Mitigating Environmental Noise in an Urban Setting
Gro
PREVENTION VS TREATMENT
ngs
TION A G I T I M L A R U T ARCHITEC
io
2.5
m
22
ON I T A G I T I OTHER M
e M et
h
ENVIRONMENTAL NOISE WILL ALWAYS BE A PROBLEM It may seem counter-intuitive to combat environmental noise with architecture, with the largest proponent being traffic noise, however the issue of environmental noise will remain through numerous ways after vehicles have become fully electric.
1.0 2.0
APPROACH
PROBLEM IDENTIFICATION
3.0 4.0 5.0 6.0
STRATEGY
CONTEXT In this chapter we explore the bounds of our site and aim to understand the implications of environmental noise in central Manchester.
DESIGN CONSIDERATIONS
METHOD
WHAT DID WE LEARN IN STUDIO 1? Our main area of focus was to use the pavilion as an experimentation for methods and design processes to be used at a larger scale.
26
3.1
THE CONTEMPORARY PAVILION Sylvia Lavin on the Contemporary Pavilion Sylvia Lavin identifies two key aspects in which the pavilion can be successful: by
THE CONTEMPORARY PAVILION
N O I L I V ST PA
THE FUTURE PA VILION
A THE P
taking inspiration from previous pavilions as an experimentation for future projects, and for the close collaboration between
Architect
Architect
Architect
Artist
the artist and architect. “generate a complex interaction between art and architecture that produces objects, of which the pavilion might be one, that
Pavilion
Pavilion
seek to be situated within complex and extensive networks.”
We are designing a pavilion for experimentation purposes, and aim to use what we’ve learned to inform our thesis project.
Project
Project
Project
ProjectP
Pavilion
roject
Project
Project
27
10.10
TITLE SUBTITLE Text
References
28
10.10
TITLE SUBTITLE Text
References
THE SOUND MIND PAVILION We were able to successfully simulate the correct sound manipulation within our pavilion and therefore succeeding in our experimentation to design a pavilion which can combat mental illnesses through sound therapy.
30
3.2
SITE PHOTOS John Dalton West Building and Immediate Context These photos shows the existing John Dalton West building situated on the proposed site. This site already has already been considered for future development by the MMU Estates team, of which we are using as a driver for our building proposal. The John Dalton Tower is also seen with its connection to John Dalton West, which is to be renovated and remodelled for future development. These photos also show the sites relation to the busy Oxford Road and access road, Chester Street.
CO RR IDO R OX FO RD RO AD
31
3.3
ACCESS ANALYSIS
CURRENT DEVELOPMENT
Access
Toware d
buisnes
Mixed use Residential and Commercial units
s schoo
l
How do People Access the Site?
PROPOSED SITE CO RR IDO R
John Dalton East
Studying the site around the John Dalton building site allows us to map areas of
OX FO RD RO AD
high environmental noise. the areas we have identified are subject to change due during the day so will need considerations at different times of the day and different
FUTURE DEVELOPMENT
Science and Engineering
days of the week. By
MAN
CUNI
AN W AY CUNI AN W AY FUTURE DEVELOPMENT
mapping the sources of harmful
MAN
environmental noise we can establish a
CO RR IDO R
grid from which we can map noise data, which will be used later on in the testing stages of design.
OX FO RD RO AD
ALL SAINTS PARK
Public Outdoor Space
BUS STOPS
Center for Sporting Excellence
CAR PARKING
AREAS OF HIGH PEDESTRIAN ACTIVITY
AREAS OF HIGH TRAFFIC
CONSTRUCTION SITES
AREAS OF HIGH ENVIRONMENTAL NOISE
32
3.4
CHANGING CLIMATE
NNW
How Will Small, Daily Trends Form The Materiality?
N
NW
NNE 1000
The micro and macro climate changes
NWW
around the site happen from hour to hour,
NE
day to day, week to week. Temperature,
100
rainfall, wind speed and seasons all change at different rates and with different ferocities.
NEE
W
Designing a building that can take into account all of these changes as they happen is an important design consideration when considering human comfort within buildings.
SWW
E
SW
SEE
SSW
SE S
SSE
33
3.5
DAILY CLIMATE VARIANCE
NIGHT
January 1st and July 1st from 12am to 12pm
2.0% 3.0%
to demonstrate the changes in months but
1.5% 2.5%
also the changes that occur hourly. the two graphs show temperature change and
1.0% 2.0% 0.5% 1.5%
precipitation. Data like this is essential in
0.0% 1.0%
designing for human comfort and wellbeing.
0.5%
temperature
changes
to
an
0.0%
9AM
4AM NIGHT 4.4%
3.5% 4.5% 3.0% 4.0% 2.5% 3.5%
the
NIGHT
NIGHT
HOURLY SHARE OF PRECIPITATION JANUARY 1
4.0%
The two tables shows climate data from
If
DAY
DAY
NIGHT
7.0% 4.5%
How Will Small, Daily Trends Form The Materiality?
HOURLY SHARE OF PRECIPITATION ON JULY 1
HOURLY SHARE OF PRECIPITATION JANUARY 1
3.9%
DAY
4.2%
NIGHT
9AM
4AM
4.2%
3.9%
4.4%
12AM
3AM
6AM
9AM
12PM
3PM
6PM
9PM
12AM
12AM
3AM
6AM
9AM
12PM
3PM
6PM
9PM
12AM
6.0% 7.0% 5.0% 6.0% 4.0% 5.0% 3.0% 4.0% 2.0% 3.0% 1.0% 2.0% 0.0% 12AM 1.0% 0.0%
NIGHT
HOURLY SHARE OF PRECIPITATION ON JULY 1 1PM DAY 6.4%
NIGHT
1PM 6.4%
4.2%
2AM 2.7%
4.2%
Rain
2AM 2.7% Rain
12AM
3AM
6AM
9AM
12PM
3PM
6PM
9PM
12AM
3AM
6AM
9AM
12PM
3PM
6PM
9PM
12AM
uncomfotable level we want the building TEMPERATURE BANDS ON JANUARY 1
skin to be able to adapt to this change maintaining comfortable environments
100%
NIGHT
TEMPERATURE BANDS ON JANUARY 1 COMFORTABLE
COLD NIGHT
DAY
COLD COOL
40% 0%
NIGHT
WARM
COOL
80% 40% 60% 20%
20%
NIGHT
WARM
inside. 80% 100% 60%
TEMPERATURE BANDS ON JULY 1
DAY
COMFORTABLE
VERY COLD
COLD
3AM
6AM
9AM
12PM
3PM
6PM
9PM
12AM
COLD
0% 12AM
-10*C
FREEZING
3AM
-10*C
0*C
6AM
0*C
7*C
9AM
7*C
12*C
12*C
18*C
12PM
18*C
3PM
20% 0% 40% 20% 60%
FREEZING VERY COLD
12AM
0%
23*C
29*C
6PM
23*C
29*C
35*C
9PM
35*C
12AM
100% 80% 100% 60%
40% 80%
80% 40% 60% 20%
60% 100%
40% 0%
80%
20%
100%
NIGHT
DAY
NIGHT
WARM
TEMPERATURECOMFORTABLE BANDS ON JULY 1 NIGHT
DAY
NIGHT
WARM
COOL
COMFORTABLE
40% 80% COLD
3AM
6AM
9AM
12PM
3PM
6PM
9PM
12AM
COLD
0% 12AM
-10*C
0*C
7*C
12*C
-10*C
0*C
7*C
12*C
3AM
20% 0% 40% 20% 60%
COOL
12AM
0%
6AM
9AM
18*C
12PM
18*C
3PM
23*C
29*C
23*C
29*C
6PM
35*C
9PM
35*C
12AM
60% 100% 80% 100%
34
3.6
People Affected By Noise From Specific Source At Home Or In Local Neighbourhood
2007 Data 2016 Data
0%
ENVIRONMENTAL STRESSORS
Road Traffic - Individual Vehicles Residential Neighbours Construction Road Traffic - Busy Roads Aircraft Audible Alarms Trams or Trains Sports or Recreation Farming Music of Entertainment Venues Factories or Industry Shops, Restaurants or other Businesses Ports, Boats or Shipping
What Are The Main Causes Of Stress?
5%
Key Urban Environmental Noise Contributors Environmental Stressors Not Encountered in Urban Setting AircraftAircraft Taking Off (25m)Off 130-140 Taking (25m) Music Venues - 95-117 Music Venues Chain Saw - 102-114 Chain Saw Airplanes (2 mi) - 95-110 Factories or Industry 95-110 Airplanes (2 mi) Construction Site - 90-108 Factories or -Industry Underground Train 80-115 Audible Alarms 85-110 Construction Site Snow Mobile - 85-108 Underground Train Motorcycle - 80-110 Audible Alarms Power Boat - 73-115 Power Tools 65-110 Snow Mobile Power Lawnmower - 80-95 Motorcycle Heavy Truck - 77-88 Ports & Shipping - 55-98 Power Boat Road Traffic - Individual Vehicles - 60-90 Power Tools Road Traffic - Busy Roads - 60-90 Power Lawnmower Food Blender - 63-87 Toilet Flush - 70-80 Heavy Truck Vacuum Cleaner - 60-85 Ports & Shipping Shops, Restaurants or other Businesses - 65-80 Sports -orIndividual RecreationVehicles - 50-80 Road Traffic Air Conditioner Road Traffic - Unit Busy- 60-72 Roads Washing Machine - 47-78 Food Blender Residential Neighbours - 35-55 Light Rain Toilet38-43 Flush Soft Whisper (5ft away) - 33-45 Vacuum Cleaner Library - 13-25
ENVIRONMENTAL NOISE SOURCES
30%
Shops, Restaurants or Other Businesses Sports or Recreation Air Conditioner Unit Washing Machine Residential Neghbours
15%
25%
Light Rain Soft Whisper (5ft away) Library
0
10
Source - (Environmental Protection Authority Victoria (2018) (Strahan Research 2007)
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
20
30
40
50
60
70
80
90
100
110
120
130
140
10%
20%
35
3.7
78.4
60.5 60.8
NOISE MAPPING
75.8 69.3
59.2 62.6
2pm Weekday Analysis
72.7 77.1
67.5
66.6
We took readings averging 60 seconds at 70.0
key nodes around the urban site, as well as
67.6
67.3
the building scale and occupancy sites in
64.8
71.4 57.0
66.3
order to map the environmental noise on
54.3
site with greater accuracy.
66.6
60.4 57.0
63.9
70.0
The readings we took confirmed the
63.7
70.8
carriageways in Manchester: Princess
69.6
67.1
Road, Mancunian Way and Oxford Road. 71.8
72.7
62.4
With this analysis we can have the building
67.2
respond appropriately to the surrounding 69.0
65.3
66.4
74.4
55.7
64.5
69.6
58.1
72.1
65.2
55.6
57.8 58.8
67.5
66.8
69.3 71.4 68.2
75.3
62.7
59.0
61.6
noisiest areas were all beside the main
environmental noise.
59.6
72.7
67.2
Weekend
Weekday
3.8
36
ENVIRONMENTAL NOISE DATA
9am
In Depth Analysis We carried out a more in depth survey once we had decided to continue our research at the building scale.
12pm
Shown on the large noise map is an enlarged version of the 9am weekday map, are all the points where we took readings. We aimed to take readings at a fixed grid around the site and took readings at key nodes further afield, to get a more accurate representation of noise in the area.
3pm
We took readings at 5 equal intervals throughout the day to understand how much the noise levels vary, and took readings from the same places on a business day and a non-business day. Noise readings are represented by the blue
6pm
dots.
45dB
55dB
65dB
75dB
85dB
9pm
120
Daytime
100
70 60 50 120
In the busy melting pot of noise surrounding our site, a number of sources can be found. To be able to combat noise as a
80 70 60
Frequency (Hz)
Road traffic is amongst the larger contributors, as the site sits adjacent to Mancunian way and Oxford road.
traffic to Manchester Airport respectively.
1k
10k
100k
Frequency (Hz) Key:
Sample B
Whole Range of Noise on Site
Sample C
1616 2020 2525
1313
10000 10000 10000 12500 12500 12500 15000 15000 15000 20000 20000 20000
315
110 110 100100 90 90 80 80 70 70 60 60 50 50
60 650 80 800 10 1000 125 1250 150 200 1500 250 2000 315 2500 400 3000 500 4000 650 800 5000 1000 6500
Prominent Noise Levels 16 20 25 30 40 50 60 80 10 125 150 13 16 200 20 250 25 315 30 400 40 50 500
Sample A
13
650 650 400 800 800 500 1000 1000 650 800 1250 1250 1000 1500 1500 1250 2000 2000 1500 2500 2500 2000 3000 3000 2500 3000 4000 4000 4000 5000 5000 5000 6500 6500 6500 8000 8000 8000
120120
Key:
Range of Environmental Noise
Recommended Noise Levels
50 50
1250
100
60 60
8000 1500 10000 2000 2500 12500 3000 15000 4000 20000 5000
10
0
70 70
Level (dB)
Oxford road development plans and air
90 90
Nighttime
25
large contributors due to Manchesterâ&#x20AC;&#x2122;s
100100
80 80
Non-Business Day
Construction and Airplane noise are also
120120 110 110
8000 8000 10000 10000 12500 12500 15000 15000 20000 20000
WHO recommended 50 noise level (56 dB)
6500 13 8000 16 10000 20 12500 25 15000 20000 30
frequencies.
50
Daytime
13 16 20 25 30 40 50 60 80 10 125 150 200 250 315 400 500 650 800 1000 1250 1500 2000 2500 3000 4000 5000 6500 1313 8000 1616 10000 2020 12500 2525 15000 30 30 20000
to design for the prevention of specific
90
315
and understand their acoustic properties
100
650 400 800 500 650 1000 800 1250 1000 1500 1250 2000 1500 2500 2000 2500 3000 3000 4000 4000 5000 5000 6500 6500
sources are permenant issues for the site
110
Decibel (dB)
75
whole, we need to identify which of these
80
40 40 13 50 50 16 20 6060 25 8080 30 10 10 40 125 125 50 60 150 150 80 200 200 10 250 250 125 315 315 150 400 400 200 250 500 500
Where is the Site Noise Coming From?
90
Level (dB)
125
100
Nighttime
SITE NOISE CATEGORISATION
110
13 40 16 50 20 60 25 80 30 10 40 50 125 60 150 80 200 10 250 125 315 150 200 400 250 500
3.9
Business Day
37
150
POLITICAL
38
3.10
PEST ANALYSIS How Will Larger Trends Of Politics, Economics, Social, And Technological Change Form The Geometry?
. Increased government funding on infrastructure . Changes in policy surrounding vehicle emissions . Increase in electric public transport . Tariffs on electrical power change
cultural and technological factors can affect the context in which our building is situated. Changes in political policies, technological and
changes
. Changes in the inflation rates . Changes in government funding towards electric public transport . Changes in the cities economic outlook . Changes in economic growth
PE ST
Analysing how political, economic, socio-
advancements
ECONOMIC
in
demographics all need to be considered. Our proposal needs to be adaptive in the way we approach urban acoustics.
. Increase in student population . Increased road traffic along Oxford road . Changes in the area demographics
. Developments in electric transport . Developments in acoustic urban design . Developments in Acoustic facade design . Government technology incentives . Smart city development
SOCIAL
TECHNOLOGICAL
39
3.11
GREEN SPACE Southern Manchester’s Green Problem We’ve identified a lack of green space in the context of our urban region, south Manchester. From this brief study we believe that adding to the overall ‘green density’ of the city would be a beneficial trajectory for our design proposal.
PUBLIC PARK
PLAYING FIELD
SPORTS FACILITIES
PLAY SPACE
RELIGIOUS
40
3.12
TYPOLOGIES An Urban Block Study Weâ&#x20AC;&#x2122;ve identified a large proportion of the surrounding area consists of the courtyard block and the mid-rise block, with the rest being mainly terraced housing, semidetached and detached housing, and a small number of tower blocks. We will be taking a few of these typologies and testing them later on in the development.
TERRACE
COURTYARD BLOCK
TOWER BLOCK
MID-RISE BLOCK
SEMI-DETACHED
DETACHED
o
1
24
A to c
54
14
n to
11
26 1
56
36
5
13
38
to
13 3
bert Lam
36
to
38
10
Sackville Street Building
Rising Bollard
12
Barbirolli Square
94 96
Posts
55
44
57
Sackville Place
59
Bombay House
St James's Buildings
Multistorey
48
71
Car Park
Shelter
61
3
elte
7
Sh
73
Canada House
65 50
PH
115
Multistorey Car Park
79
Beetham Tower
r
100
60
100
SM
Moffat Building
67 69
1 to
80
Hall
urt Wright Robinson Hall
2
1
61
93
4
to
Barnes Wallis Building
63 1a
82
20
75
to 16 50 88a 66
76
56
60
to
88
77
Plac e
ESS
Morton Laboratory
Renold Building
a
84
The Garratt (PH) es Lig
86a
86
Jam
Manchester House 86 84
Multistorey Car Park
The Mill
c
Car Park b
elter
Sh
70
The Ritz
Posts
4
SM
Posts
09
Cycle Way
74 to 72
Parking
Manchester Oxford Road
PH
e
ss
Cycle PH
ers elt
Sh 105
2
136
use
90
nta
na
Ho
to 94
Mo
6
3
4
6
144
12
cle
a 12
1g
1
1
y Wa
14
Gas Gov
17 37
15 35
9 29
29
14a
1a
3
2 to
6a
to
1 25 51
1
17
8a
76
19 45
Cy
15
3
13
10
Completed
1
y
b 10
Lo
27 47
17 43
11
4
9
8
9 35
n ckto t ur Co
5
Wa
2
Estate
7 33
19 7 6
8
Interdisciplinary Biocentre
27
5
6 8
7
Factory m
13
2a
Pat
h
26
(u
9
4
)
1
22
36
to
21
15 7 25
23 9
7
3 17 1 19
15 48
Wa
2
11
1
76 to
1
38
69
7
cle y
BUILDING SCALE
8
9
2
50
Hatch
Cy
SM
6
cle Wa
8
y
62
1
59
61
1 to
Silkin Court
1a
2
4
68
2
1b
Grosvenor Building
1c
SM
Posts
16
76 1
PH
10
elters
7
2
Sh
John Dalton Building
5
City South
Shelter
Car Park
Mill
Sub Sta
2b
9 27
25 11
18 6
Cy
06
5
18
ge rid mb Ca
39
01
El
3
to
9
8
15
4 to
29
16
8
1
to
Shelter
38
Lamport Court
Lumiere
42
65
27
26
Oxford House
42
23
lk
3
1
buildings get taller and the city gets denser.
Macintosh Mills
w Wa
16
Student Village 30
12
1
28
rro
Me
34
With the city developing rapidly, buildings
Industrial
b Sta
cle
Chorlton Mill 13
Downing Street
9
George Begg Building Su
8
ay W
Princess House
El
Cy
26
le
14 2
2a
The Quadrangle
24
Cyc
4
elter
Tower
13
Shelter
Theatre
Lockes Yard El Sub Sta
Manchester is a rapidly developing city; the
4
The Masdar Building
Faraday
Building 11
Vita House
03
Under Construction
Sh
S
ES
GVC
Shelter
The Pariser Building
6
08
Ps
The Foundry
ESS
Hall
4 to
15
13
1 to 9
12
Hotel
Weirs
32
ston
We
Ferranti Building
Building 10
11
One Cambridge Street 2
stle
t Ca
1
reet
Rive
07
en
4
4
e and
Centr
Manchester
60
9
The Green Building
r St
Medlock Bridge
Childrens Nursery
7
Ps
2
Nursery
Multi-storey Car Park
Car Park
rence
Confe
3
Hotspur House
Stud
Proposed Construction in Proximity to the Site
1
28
ester
Manch
1
8 to 12
14 to 32
11
ESS
2
42
House
35
1
The
of
29
38
Bracken
1 to 74
Home Manchester Arts Centre
Hotel
University
Station
Hotel
wri Go O' ) (PH
Garage
86
14
35 to 37
La
PH
35b
35a
27
33
5
41
21
2 to 11 116
2
4 17 to 19
y Wa
3
Barclay House
15
cle
Cy
1
11
PH
106
The Principal Hotel
Car Park
matics Mathe d ng an Buildi ience l Sc Socia
6 21
PH
33
71 10
11 1 to
8 lk
30
k al W aw sh en
32
H
10
ge rid mb
1 to
Ca
84
219 20
15 9
7
27 1
20
28 10
71
73 12
71
221 225
203
227 237
se
n
to
Clo
57
13
4
to
Manchester
2
70 25 to
29 31 to
247
35
28 18
74
27
to 251 153
SM
El Sub Sta
Prospects
Oxford Court
House
8
22
The Union 21
St Peters
60 to
22
SM
62
9
House
2
El Sub Sta
Victoria
6
a
82
30 3
84
84b
0
83
86
33
88 90
63
39
Victoria
Kilburn Building
Hall 4
c
92
d
47 45
92
b Sta Su
1
Devonshire House 14
8
8
Shelters
2
1
13
Manchester Business School
4b
George Kenyon
5 9
9
94
El Sub Sta
1
13
2 4
2
to 63
14
Con
180
2
52
do
Health Centre
Roscoe Building
18
8
20
University Place
104
1
29
(PH)
15
3
9
Cyc
Williamson
Building
Building
110
7
18
2
17
48
22
ESS
108
y
le Wa
12
Arthur Lewis
Trinity Court
106
17
1
5
32
Brooks Building
The Gamecock
16
24 to
2
188
42
to
16 to
186
Manchester Metropolitan University
44
51
2
184
alk rW
2
Bishops Corner
to
321
1
onry
10
102
5
onry
ing mas Slop
57
6
4
6
Jean McFarlane Building
17
17
1
FB
3
21
ing mas Slop
19
12 1 to 79 14 to
th)
J R Moore Building
Hotel
10
3
58
57
Shelters Shelter
eet (Pa
ll Str
93
Court
Play Area
Dale
Bonsa
Schuster Building
y Wa
70
y
n
Hopto
Wa
1 to
Building
cle
cle
7
12
6
Cy
4a 6
Cy
16
92
92a
1
61
b
Shelter Shelter
91
to 174
89
166
179
rch of Chu Parish ension the Asc
11
Sir Charles Groves Hall
4 to
Briarfield Hall
El
ry
House
Shelter
80
Shopping Centre
10
mason
Dunham 1 to 12
1 to 25
lter
She
ping
to 164
to
Shelter
Precinct
79
2
102
28
80
to 140 Slo
142 PO
74
St Peter's Church & Chaplaincy
12
2
126
Vine House
El Sub Sta
ESS
81
Centre
177
Rectory
8
1
175
Health
Court
14
onry
54
to 76
Hornchurch
63
92
ing mas
78 to
12
Slop
10
2 to
4 to
1 to
to 112
Elizabeth Yarwood Court
25
52
URBAN SCALE
Alan Turing Building
Hall
1
38 25
16
k
al
W
Sef
2
14
y
le
12
12
W
Ark
of
53
151
27
20
University
Crawford House
on
nt
ui
Q
Royal Northern College of Music
2
to
k
al
2
23
13
26
ilips St Ph E C of hool ry Sc Prima
29
13
University Barracks
12
12
10
12 10
215
2
4 12
2
4
2 4
2
4
11 1 to
16
Walk
National Graphene Institute
PH
48
k al W an k
an eb D
2 4 2
use Ho
to 14
23 to 13
2
5
2
8
12 2 to
2h to 2a
17 7 to
to
1
5
43 to 41 31 29 19 to
to 28
1 to
6 1 to
11
se
Hou
Humanities
ESS
2
6
4
6
Naylor
8
2a
The Rutherford Building
18
1 to
6
90
per
Coo
40
12
7
2b
15
School & Children's 1 to
112
Centre
6
14
21
14
Martenscroft Nursery
1
13
9
Shelters
The
12
7
Manchester Museum
13
9
Chemistry Building
Coupland Building
Multistorey Car Park
4 to
27
26
1
34
5
13
4
Church
13 5a 13
Zochonis Building
7
lk
st Wa
Dryhur
15
El Sub Sta
Centre 9 1 to
Robert Angus Smith Energy Centre
El Sub
Sta
Simon Building
19
9
W ay
17 7
11
1
1 3
5
6
28
Michael Smith Building
13
1
1
15
1
4
Building
4
5
r Wa lk
2
11
14
AV Hill Building
11
10
15
Eddie Newcomb 7
FB 32
House
33
3
2
9
7 to
Rising
House
William Kay
32
k r Wal
Learning Commons Posts
1
3
Bollards
2
e
nidg Was Walk
Vaughan
5
moo
Alan Gilbert
8
6
Centre
Ling
14
61 5
3
32
Student Services
10
4
13
el Adm are Squ
1
to
Carys Bannister
High School
Whitworth Hall
Heste
Lovell House
10
Dover Street Building
18
k
lan Wal
Rag
ESS
Trinity Church of England
16
lk
an Wal
Mor
FB
er Wa
7 k
cle
Pind
49 to 53
Hulme Hall
John Owens Building
2
9
Claremont
Cy
47
of Manchester
ley Eps Close
9
to
University Dental Hospital lk
k Wa
broo
How
2
43
HULME
Whitworth Building
Martin Harris Centre for Music and Drama
4
Hotel
5a
Mered
1
Junction (PH)
Beyer Building
2
7
41
112
5
70
urt ith Co
21
Aquarius Community
6
1
108
El Sub Sta
14
2
1 to
Warde
120
14
114
12
106 96 to
1
10
12 8
1
5
2
k
1
7
nda
Samuel Alexander Building
7
9
36
2
15
tre
e
n Cen
4
46
ry Lan
Christia
2
45
47
Student Union Building 70
51
y
m
2
de
Aca
14 10
55
101
10
3
6
72 to
1 to 64
Williams House
Duffield Court
Rak
22
El
14
2
tfield
Pea
100
94
2
1
9
3
k
al W
lk
ad Wa
ehe
ay
Library
Bou
6 2
10
8
10
Holy Name Church
W
1
University of Manchester 2 to
ESS
48 to
lk
th Wa
Studfor
Shelters
cle
an Wal
Oce
Cy
4
20
2
5
Turing House
Reynolds House
k
e Wal
nidg
Was
2
Hippodrome
Sloping masonry
Sloping masonry
1
Garden Centre
1
to
23
9
2
9
25
2
55
10
b Sta
Su
14
to 53
136
65
32
6 12 8 12
67
18
2
El
8
to
24
School
8
237
233 to 54
28 26
51
Business
16
1
39
4
k
1
old
13
9
8
al
45
to 10
wb
Ne
21
12
W
ll
83
2
ge
rid
Ha uth
14
1
6
2 3
kb
e So
Par
idg
81
Manchester
Chatham Building
7
23 227 to
21
74 64 to
11
mbr
a 14
Multistorey Car Park
Childrens Nursery
31 to 35
17
77 to
4
5
1
to 52
22
22 to
22 36
8
51
3
3a
89
13
33
to
35 8
2
79
23
52
49
36 to
16
50
91 to 95
2
1
Ca
Court
Shelter
Benzie Building
She
9
to
2 18
34
14
Wa k isb an
43
to 62
26
97
Kincardine
42
24 lter
6
lk
1
56 to
10
Hall
6
to
to 34
12
Cavendish
43
d Wa
oo
71
67
Place
21
32
24
46
y
Stre
Wa
38
57 to
31
dish
cle
mw
to
Broo
16
to 69
83
to
51
55
1 to
Caven
56
Cy
53
73 to
49
Union Hall Evangelical Church
40
ESS
Geoffrey Manton Building
et
ish
vend
Ca
1 to 10
lk
50
2
54
12
to
le da Elm Walk
2 to
40
41 to
26 Opal Hall
El Sub Sta
8
Walk
71
2
44
244
James
Chadwick Building
Righton
Building
PH
an Wa
alk
W
38
24
old
14 to
wb
61 to
to 39
El Sub Sta
an
48
Grosvenor Building
Manchester Aquatics Centre
Dalesm
Ha
7
Ca
Way
51
Ne
2
to 6
29
use
25
41
ym
Tennis Court
cle
Stre
Cy
ll
Ha
to
18
ish
vend
ers elt
rth
41
Walk
Posts
et
Cavendish Building
s
Sh
m
e No
idg
ha Mat
39
mbr
to
27
8 to
to
ntley
to
21
Ca
29
18
30
to 47
24
2
20 to
37
13
Be Ho
1 to
27
School Bungalow
to
3
use
60 to 70
11
Loxford
226
23
Gartside Gardens
15
Ho
55
12
Conmere Square
Wa
19
Church
Ormond Building
21
2
19
St Augustine's 9 to
13
23
45
27
to
Mo
lk
PH
11
ley
14
to
1 to
8
42
to 35
9
12
Way
25
erow Clith
21 13
10
32 to
25
11 13
OCCUPANCY SCALE
Ar
ss
7
47
to 54
23
15
to
23
to
k
Play Area
Way
13
Cy
37
44
to
1 to 24
W
Way
to 66
12
ad
34
cle
Grosvenor Square
56
13
2 to
Wa
11
5
13
72
11
15
228 to 232
0 10
low
6
Cy
Bellhouse Building
68 to
1 to
22
Ell
27
to 51
8
16
st he
12
cle
222 to
238
1
ns
lk
Hur
1
cle
Cy
PH
234 to
66
2
8
45 Walk
alk W
9 to 12
Akhtar House
Business School
Court
to 42
ow
ell
elters
Sh
y Wa
120
University SM
1
6
24 Br
igw
cle
SM
FB
to
26
12
lk
Cra
Cy
Shelter PH
12
SM
18
13
2
b Sta
PW
9
y Wa
11
cle
SM
Posts
8 to
2
Su
Cy
Sir Kenneth Green Library
1
10
Tennis Court
30
20
El
3 11
ay
Cr
r
no
ve os re e Gr Cent
Th
Manchester Metropolitan
SM
SM
to
16 29
Wa
8
1
96
98
Post
4
20
1
w
al
Parkway Gate
240 to
Schwaben House lk
vie
2
94
11
All Saints
SM
and adapt with the city.
St a
Wa
1 ge
Sugden Sports Centre
We are proposing to develop not only a
Posts
Su b
Fu lsh
Ed
3
ESS
Sandra Burslem Building
a system that can be applied across other
El
aw
Hall
y
ntr
Ga
115 To 117
building that can develop with the city but
Wad
10
6
alk
ll W
6
04
02
12
2
mi
es
9
01
Hotel
8
8 to
23
05
John Dalton West
1
need to develop with the city.
building scale projects that can develop
Holding a Planning Application
Mill Point
ng
51
ESS
Buildi
PH 88
76
70 to
80
78
Salisbury House
Excalibur Building
hthill
Locks
el
3
Deansgate
Shelter
1 to
Orient House
Hotel
PH
Way Cycle
121
Asia House
y int McG
127
Lock 90
House
52
India House
23
Granby 72
90
73
PH 97 60
PH
int
illy Po
Piccad
t anchester Ho
50
Palace Theatre
PH
Macdonald M
91
58
Bridgewater House
Velve
Granby Village
68
56
71
Lancaster House
Churchgate House
58
t Co
119
87
Car Park
Car Park
Approved or Starting Construction
PH
Bridgewater
117
The
19
CHANGING SKYLINE
Car Park
74
to
42
40
Whitworth House
Electricity Sub Station
Proposed but without Planning Application
Hall
53
61
Pa
to 303
3.13
Observatory
use
y Ho
genc
Re
Linley House
101 rk
Car
301
41
Fairfield House
(PH)
China House
Portland Buildings
Multistorey Car Park
1 to
70
Sub Sta
El
Stopford Building (The Medical School) 48
1:5000
Walk
11
Design
10 21
3.14
42
Construction
Commencement
Key
06
Completion
25 28
27 20
15
SITE PROJECTIONS
12 16 24
19 14 13 07
Construction Timetable of Building Site and Surrounding Context
Proposed MMU Science & Engineering Building
29 06
09
05
03 02
06
01
04
The highlighted projects on the construction timeline correlate to their respectiful
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
images and information below. This shows an oveview of the projected development sites over the next 5 years, including projects specifically for the MMU campus.
09
Our focus here is to look at the proposals
Oxford Road Station Masterplan Transport & Offices
20
Science & Engineering building projected
21
Architect: NBBJ No. Storeys: 10 Research Space: 172,223 sqft
Architect: BDP No. of Apartments: 66 Office Space: 300,000sqft Public Realm Improvements
for the John Dalton West site and the new
Sir Henry Royce Institure
Manchester Museum Extension No. Storeys: 2 Two New Galleries New Entrance onto Bridgeford Street
Proposed MMU Science & Engineering Building
for 2023 completion that sits next to our given site.
24
The images to the right show an artists impression
of
the
new
Science
MMU Arts & Media Building Architect: Space: 96,000 sqft No. Storeys: 9 Other Uses: Lecture/ Offices
&
Engineering Building
01
First Street Plot 9A Hotel Architect: Jon Matthews Office Block with Hotel Above Office Space: 270,500 sqft No. Storeys: 11
https://www2.mmu.ac.uk/media/mmuacuk/content/documents/faculty-of-science-andengineering/MMU-Science-Engineering-public-consultation-banners.pdf Group Site Analysis Document
25
MMU Birley Fields Phase II
28
Architect: Hodder + Partners No. Storeys: 9 | 4 Ground Floor Communal Space 273 Apartments
Student Accomodation Architect: GWPA No. Storeys 11 | 16 No. Beds 520
02
River Street Tower Student Accomodation Architect: SimpsonHaugh No. Storeys: 32 | 15 | 10 Height: 92m No. Beds: 792
Burlington Square Private Residential
06
06
MMU Science & Engineering Building New campus resarch centre for MMU Education Space: 161,500 sqft Completion: 2023
Proposed MMU Science & Engineering Building
43
3.15
Proposed New Build
CURRENT SITE PROJECTION The New MMU Science & Engineering Building Proposal
Building RenovationInternal ‘strip Relocation of existing uses within the John Dalton West Building
The new building will provide improved
out’ and sewer diversion works
Demolition of the John Dalton West building
Construction of new Science & Engineering building
Refurbishment of John Dalton Tower
Winter 2020-2021
Spring 2021 Summer 2023
Sring 2022
teaching spaces, study areas and catering facilities for the Faculty of Science and Engineering. Sring 2020 Proposed DemolitionSummer 2020
The proposals involve the demolition of the existing John Dalton West building and the construction of a new Science and Engineering building. The new seven storey building will be located adjacent to the Mancunian Way. Access to the site will continue to be from Chester Street, and the existing loading bay
Projected Construction Timeline Relocation of existing uses within the John Dalton West Building
Internal ‘strip out’ and sewer diversion works
Demolition of the John Dalton West building
To Include Construction of new Science & Engineering building
Refurbishment of John Dalton Tower
New teaching spaces:
Laboratories
200-student ‘super lab’
Computer suites
Sustainable travel will be encouraged by
Flexible seminar rooms
increasing cycle storage and reducing car
Research space
and service area for the John Dalton Tower will be reorganised to increase efficiency.
parking spaces.
Sring 2020
Summer 2020
Winter 2020-2021
Spring 2021 Summer 2023
Sring 2022
Offices
Staff Offices
Postgraduate research students
Study areas Social spaces Cafe Technical support areas https://www2.mmu.ac.uk/media/mmuacuk/content/documents/faculty-of-science-andengineering/MMU-Science-Engineering-public-consultation-banners.pdf
MMU Sustainable Approach Incorporating opportunities for biodiversity, including within the green room and ‘Living Labs’
New tree planting across the development site
The use of recycled materials, where possible, as well as sustainably sourced timber
Providing fast charging points for electric vehicles and secure cycle parking
Incoporating high efficiency heating and cooling as well as efficient LED lighting
Generating a proportion of the building’s energy demands using low and zero carbon technologies
A NOISY SITE IN MANCHESTER With the site sat adjacent to two major roads, and being amongst a large development area, it is one of the loudest regions in Central Manchester. Environmental analysis has revealed a need for an adaptable function.
1.0 2.0 3.0
APPROACH
PROBLEM IDENTIFICATION
CONTEXT
4.0 5.0 6.0
STRATEGY
DESIGN CONSIDERATIONS
In this chapter we explore the ways we can manipulate the large amounts of noise on site to provide a quiet building, through means of manipulating geometry, and materiality.
METHOD
HOW IS SOUND MANIPULATED? Through a combination of manipulating geometry and materiality, we can manage how sound energy travels or is eradicated throughout the building..
GRAND CENTRAL STATION
47
4.1
The structure of Grand Central Station creates a vaulted space which distributes sound in a ‘whimsical’ fashion. A person
SOUND MANIPULATION
who whispers toward one corner can be
Case Studies
space.
heard clearly from a person facing the opposite corner, due to the reverberation and acoustic pressure qualitites of the
WIND PAVILION The wind pavilion draws in sound from wind passing over a number of pipes, and intensifies the kinetic energy to a loud whistling.
CALGARY MUSIC CENTRE The Calgary School of Music contains a small theatre on the ground floor, which is sat adjacent to the ‘sound wall’. This wall is designed to selectively reverberate lower frequencies up and around the building as a low hum. The remaining high frequencies can be heard around the lower parts of the building to draw visitors to the hall.
1. https://www.google.com/imgres?imgurl=https%3A%2F%2Fephemeralnewyork.files.wordpress.com%2F2015%2F09%2Fwhisperinggallerytimes.jpg%3Fw%3D584&imgrefurl=https%3A%2F%2Fephemeralnewyork. wordpress.com%2F2015%2F09%2F07%2Fthe-whispering-gallery-in-grand-central-terminal%2F&docid=4a-bs1U8gwKtIM&tbnid=Vjc4kxq-HPJp6M%3A&vet=10ahUKEwikkszk79rnAhW9RhUIHTUyAwkQMwhvKBAwEA..i&w=584&h=354&bih=614&biw=1280&q=grand%20central%20sound%20trick&ved=0ahUKEwikkszk79rnAhW9RhUIHTUyAwkQMwhvKBAwEA&iact=mrc&uact=8 2. https://i.pinimg.com/originals/e8/28/6c/e8286c52a6f932e9f0e97f3370d52c98.jpg 3. https://i.pinimg.com/originals/e8/28/6c/e8286c52a6f932e9f0e97f3370d52c98.jpg
48
4.2
CASE STUDY The Acoustic Canyon The acoustic canyon effect is one seen typically on an urban scale where the design of facades and building geometry can have a big effect on the way in which environmental noise can be manipulated, or enhanced. We are looking into this concept on a building scale to explore how acoustically designed void spaces within a building can manipulate external environmental noise and create pockets of silence on site.
Direct Environmental noise
Direct environmental noise Acoustic Canyon Areas of high acoustic absorption Reflected environmental noise
49
4.3
TYPOLOGIES The Results of Testing of Different Block Typologies Displayed in a Visual Format
As the distance doubles, the sound level drops 6dB(A) Typology A Linear
70 dB(A)
58 dB(A)
64 dB(A)
52 dB(A) Iterate Through Urban Block Type
Typology B Courtyard (Semi - Private)
Divide Elevation Into Panel System
Measure Distance From Sound Source To Elevation Panel
These are the results of the testing phase of Calculate Sound Level dB(A) At Elevation Panel
typical urban city blocks. We tested 4 types in order to achieve a greater understanding
Display In Visual Format
of which is the optimal solution for the site specifc noise levels. This information was mapped onto the facade and the decibel level (as an number set) was transferred
Typology C Perimeter
as a colour gradient for easy visual understanding. From this information we can gather which typology, position & location, height and density offers the best acoustic solutions to the changing sound levels around the site. This is information we can measure and test to find optimal solutions to carry forward in our design
Block Type
Typology D Atrium
process.
Measure Test
Sound Source
Typology E Tower
50
4.4
ADJACENCY MANIPULATION STRATEGY
Determine Best Appropriate Urban Block
Find Circulation Core To Arrange Adjacencies Around
Determine Which Rooms Require The Most Acoustic Dampening
Determine Spaces That Require Optimal Daylight Access
Research Labs Workshops W.Cs Kitchens Reception
How we Intend to Manipulate the Physcical Internal Spaces in Relation to Site Specific Information
Input Programmatic Requirements
Iterate Through Options To Determine Optimal Building Scenario
Compare Measureable Outputs Through A Testing Period
Innovation Hubs
Commercial
The room adjacencies outlined in our
Interact Programmatic Requirements With Measureable Input Data
programmed development is used in a computational manner to best organise each space on site to suit its individual requirements.
Focused
on
Services Single Use Space
Student Accommodation
optimal
acoustics, this process arranges spaces that need lower noise levels to funcion away from existing sound sources and also considers other environmental data that
Quiet Spaces
Mixed Use Space
Collaborative Workspaces
each space may need. Daylight access and privacy are considered in the process as each programatic space is arranged around
Transdiciplinary Workspaces
Adaptable Spaces
a circulation core taken from an optimal urban block.
Lectures Seminars Meeting Spaces Communal Spaces Food & Drink Co-Working
Arrange Adjacencies Within The Extended Design Space With Appropriate Areas
Pack Adjacencies Together, Respecting Primary Adjacencies, Acoustic Requirements and Daylight Access
51
4.5
Linear Geometry
GEOMETRY RATIONALISATION
Research Labs Workshops W.Cs Kitchens Reception
Categorisation of Linear and Flexible Geometry Innovation Hubs
Commercial
Using the Elbphilharmonie as a case study, we can define how our mix of flexible space and fixed space can be categorised into flexible and linear geometry.
Services Single Use Space
Student Accommodation
We can define the single use spaces as linear due to their basic requirements such as student residential apartments and commercial usage. Mixed use spaces
Quiet Spaces
Mixed Use Space
require more flexibility with their geometry
Collaborative Workspaces
- typically lecture theatres, group working spaces and adaptable spaces. Transdiciplinary Workspaces
Adaptable Spaces
The Elbphilharmonie - Herzog & de Meuron The Elbphilharmonie can be seen to Lectures Seminars Meeting Spaces Communal Spaces Food & Drink Co-Working
be zoned in section by category: linear geometry and flexible geometry - this allows for the core theatre space to be designed specifically while the residential region can wrap around it.
Flexible Geometry
Flexible Geometry Linear Geometry
Studio INI - Kinetic Ceiling
52
4.6
Fixed Panelisation
kinetic
is raised in response to somebody stood underneath. In this example, the feature is used to create more space, but designed correctly, it can produce acoustic pockets to trap noise.
Innovation Hubs
Commercial
case study, we can define how our mix of Services Single Use Space
can be categorised into fixed and kinetic
Student Accommodation
(responsive) panelisation. We can define the single use spaces as fixed Quiet Spaces
Mixed Use Space
- such as student accommodation and
Collaborative Workspaces
commercial usage. Mixed use spaces more acoustic insulation at specific times
their
the floor and dictate when the ceiling
Research Labs Workshops W.Cs Kitchens Reception
Using Studio INIâ&#x20AC;&#x2122;s kinetic ceiling as a
require more flexibility - sometimes needing
underneath
ceiling. The sensors are placed on
Categorisation of Flexible and Fixed Panelisation Systems
due to their one-dimensional requirements
and sensors to respond to people standing
INTERNAL PANELISATION
flexible space and non-flexible spaces
Studio INI utilise hinged panel systems
Transdiciplinary Workspaces
Adaptable Spaces
of day to suit the user. This function requires an aspect of adaptability which defines the need for a responsive ceiling. Lectures Seminars Meeting Spaces Communal Spaces Food & Drink Co-Working
Kinetic Panelisation
53
Decibel reduction/ gain on different facade over different frequencies and different measurement points
4.7
MP2
CASE STUDY Facade Typology and their Effect on Environmental Noise
9. Measure the Acoustic Effects on the Facade
80
Input Acoustic Engineering Standards
Re-iterate Facade Design
designs can effect the level of decibels recorded at different measurement points. Measure the Acoustic Effects on the Facade
6.
engineering
noise
data,
acoustic
principles
and
different
5. 4.
geometries designs to produce a finished design that satisfies the goals of the
Define Facade Requirements
Model 2.2.3 On Site Acoustic Measurments
On Site Investigation
3.
Input Acoustic Engineering Standards
2. 1.
Model 2.2.3
Facade 2.2.1 on Axis
0.0
160
-1.1
0.3
-0.6
0.3
250
-0.2
0.1
315
0.2
0.3
400
0.2
-1.6
500
0.4
-0.4
630 Hz
0.4
-1.0
1.8
-0.9 Facade 2.2.2 on Axis
80
0.4
-1.4
100
-0.4
-0.6
125
-1.2
-0.2
160
-0.9
-1.1
200
-0.5
-0.6
250
-0.5
0.2
315
0.3
-1.8
400
0.8
0.1
500
0.2
-0.2
630 Hz
1.6
-0.8
80
Project Goals
MP1
-0.2
Facade 2.2.2 off Axis
Initial Facade Design
research.
Facade 2.2.1 off Axis
MP2
125
Input Acoustic Engineering Standards
This case study iterates through different facade designs through the input of
MP1
0.8
200
Model 2.2.3
On Axis
0.9
100
Final Facade Design
8. 7.
The case study explores how different facade
enviornmental
Off Axis
Facade 2.2.3 off Axis
Facade 2.2.3 on Axis
100
1.0
-0.5
125
0.3
0.0
160
-0.4
0.2
200
-0.4
0.3
250
0.2
0.2
315
0.2
0.2
400
0.0
-1.0
500
1.1
1.7
630 Hz
0.9
0.3
2.0
-0.7
What is the sound transmission Class at this point
FACADE
68dB What is the sound transmission Class at this point
Acoustic Protection Our site is not unique in the sense that like most urban sites there are buildings directly opposite creating an â&#x20AC;&#x153;urban
CURRENT DEVELOPMENT
4.8
Reference Facade
Bottom half needs To Deflect
74dB What is the sound transmission Class at this point
80dB
acoustic canyonâ&#x20AC;? where sound will reflect off both our building and opposing surfaces
2.5 1
creating a pocket of environmental noise
12
between the two. As we are looking at how we can influence this effect with out building proposal, we have researched into sound transmission through facade, sound manipulation by facade design and decibel reduction over distances.
Urban 68dB 74dB 80dB
Acous ti
c Cany on
1 2.5
CURRENT DEVELOPMENT
54
Top half needs to To be absorbent
Absorbed sound
55
4.9
Reflected sound Direct sound
FACADE External Acoustic Manipulation We have explored research into the effects that facade design can have on urban acoustics, through our research we are able to understand that the different densities of acoustic treatments can either diffuse noise or absorb noise better than the other.
The more density on the facade the more likely it is to absorb environmnetal noise
The more dense the panel, the more likely it is to absorb noise and visa versa. We can experiment with the location of these different types of panels where lower down on the building we would need to diffuse the sound and higher up where the decibel drop off has occurred we would absorb sound, which combined with sound transmission design of the facade can significantly reduce the environmental noise heard on the inside of the building.
The less density on the facade the more likely it is to diffuse environmnetal noise
56
4.10
KINETIC FACADE
Folding
Selection of position on the selected facade
g
in
id Sl
Ways in Which a Kinetic Facade can be Used to Achieve Required Acoustic Requirements, Both Internally and Externally
Selection elevation for treatment
Through the research into environmental trade-offs we have identified the need for an adaptive facade that can adapt
Selection of support structure (frame, cable etc)
at different times of the day. To achieve Expanding
this we have explored case studies for kinetic facades. Kinetic facades can be programmed to respond to differing levels
Kinetic Facade Types
of data, for instance a kinetic facade can be programmed to respond to environmental noise so if decibel levels exceed 55
Selection of the panel size, pattern, shape
Re tra ct in g
decibels, segments of the facade can close while other parts stay open to allow for daylight,views and ventilation. Selection of grid size and spacing according to initial testing
Selection of granularity of control (single, cluster) due to further testing
Transforming
57
4.11
FACADE TESTING
2
1
Setting Measure and Gals Allows us to Test the Facade Design and Select an Optimised Option We are going to test our facade by firstly identifyng a set of points and generating
3
Measure the sound After Absorbed
Determine if the facade is Diffusing Sound
Establish Points of Contact
Determine distance from Noise Source
sound sources of different decibel values at each point dependant on what activities occur. We will then measure the distance from the noise source and point of contact on the facade. To measure the transfer of sound from the source to the inside we will first measure the distance the sound has
Measure the sound At the Points of contact
Measure Noise from Source
travelled, and the decibel loss over that distance along with the decibels absorbed by the facade. This will then iterate through these designs and filter through the options by looking at the sound transmission class rating.
Measure Decibel lost Through Facade
Determine If the facade is Absorbing Sound
Select Evaluation Facade
Iterate through all possible Facade Options and re-test
Test Facade at different measuring points Building
Facade
Measuring point 1
Measuring point 2
Possible postions of measurment for environmentlnoise source
UNDERSTANDING THE BASICS Now we understand how sound can be manipulated in our design, we can attempt to implement this knowledge in a design space which is suited to our project ambitions.
1.0 2.0 3.0 4.0
APPROACH
PROBLEM IDENTIFICAITON
CONTEXT
STRATEGY
5.0 6.0
METHOD
DESIGN CONSIDERATIONS In this chapter we aim to understand the key ideas behind each aspect of our design: typology, adjacency, geometry, panelisation and facade. The input parameters and performance metrics can allow us to accurately model and measure how successful each design element can be.
WHAT ARE THE GOALS OF THE PROJECT? Other than manipulating sound to combat environmental noise in Central Manchester, we need aim to use the existing site use in a different way, in order to benefit the universityâ&#x20AC;&#x2122;s future.
61
5.1
SOUND BEHAVIOUR
SOUND MANIPULATION Emitter (Speaker)
Vibrating Medium Particles
Receiver (Ear)
Reflection
Absorption
Diffusion
How does Sound Behave? Before we can start optimising spaces for sound, we need to understand the principles of sound. Each space is required to react to the sound increasing frequencies. Ultimately, sound transmission requires
Amplitude
Wavelength (Frequency)(Hz)
differently due to the varying properties of
Wavelength (Frequency)(Hz)
three stages: an emitter, a medium (the material which it travels through) and a receiver. In the scenario shown on the right
Wavelength (Frequency)(Hz)
,the emitter is the speaker, the medium is air and the receiver is the ear. Each element has itâ&#x20AC;&#x2122;s own set of parameters which must be organised correctly before we begin the
Time/Distance
optimisation process.
Echo/Reverberation
Route of Escape
Reflection
Extension
2m - 70dB 4m - 64dB 8m - 58dB 16m - 52dB 32m - 46dB
62
10.10 5.2
CLIENT PROFILE
Commercial
In Order to Provide and Deliver a Building for MMU an Analysis of Their Future Projections was Required.
Retail
MMU is currently under a large expansion plan in order to keep up with the ever expanding student numbers enrolling to the university. In order to future proof our proposal we have looked at the future projections of student numbers and in what areas these lie. From this we can determine a best fit programme for the John Dalton West site.
MMU Estates
Education
Residential
Research file:///D:/Users/benja/Downloads/16197-Estates_Strategy-Document-201718_V2.pdf
Building layers of change
63
User experience
5.3
Wayfinding
THE FUTURE CAMPUS
Serendipity
The Need for a Flexible and Adaptive University Campus
Digital concierge
Operation Experimentation Occupancy Optimisation
Based on an ARUP report on the future of the campus there is a clear demonstrated need for a campus that is both flexible
Lifecycle Management
and adaptable to future scenarios. Within the report there is a correlation between flexible spaces that allows occupants to chose there environment and job satisfaction, productivity and all round well
Site
Services
being. ARUP states that using Digital twins
Skin
Space plan
Structure
Stuff
Energy & Resource efficiency
of the campus is a way in which to monitor changes and flexibility within the campus.
71%
New products and services
Digital Twin
76% 60% 50%
32%
Industry Partnerships
52%
60%
40%
IoT Innovation
Job Preformance
Users without choice
Job Satisfaction
BIM
Workplace Satisfaction
Users with choice
Open Data
Social Media
The Traditional Campus
64
5.4
THE FUTURE CAMPUS Case Study for Collaborative Workspaces This scenario imagines a fictional 2037 campus as a sleek, intensive facility. It’s prime purpose is to encourage peer-to-
in a design that embodies student ‘crosspollination’. Site barriers impose a prominent barrier to the desire for permeability.
The Future Campus
Library
Technology
Practical
Eating
Study
Social
emerge, the campus combines these ideas
Lecture
a series of unintended consequences
Office
from outside the university. However,
Teaching
student exposure to partners and audiences
Green space
peer interaction, multidisciplinary work and
Primary Secodary Tertiary
65
5.5
PROGRAMME
Size of circle determines size of programme
Residential
All To Have Different Acoustic Requirements
Potential adjacencies
Education
Macro Adjacencies
The Future Campus “Evaluate opportunities to embed flexibility
Commercial
Micro Adjacencies Services
to-ceiling space, and large floor slabs.
Services
Retail
Consider leaving services exposed and ensuring maintainability and acoustic
Innovation Hubs
Commercial
and adaptability that allow for high floor-
including moveable partitions, while also
Research Labs Workshops W.Cs Kitchens Reception
Single Use Space
Macro Adjacencies
Our Adaptation Inspired by The Future Campus
Student Accommodation
comfort” (ARUP, 2018). Meeting Room
As suggested in the article by ARUP, the
Lecture Theatres
Teaching
conventional programme as shown in
Conference
Quiet Spaces
Office
the Macro and Micro Adjacency diagrams
Ground Floor Units
Retail
Seminar
is becoming outdated due to the large
En-Suite
Research
increase of digital leraning.
Food & Drink
Cafe/ Servery
Computer Suite
Small Business
Commercial
Bedroom
Kitchen
Transdiciplinary Workspaces
Workshop
In order to combat future scenarios we
Mixed Use Space
Toilets
Dining
Laboratory
Kitchen
Adaptable Spaces
Education
intend to provide an open plan, adaptive
Private
system that encourages collaborative, transdisciplinary
work
environments,
Communal
functional and adaptive space which will
Shared
Study
and intake numbers.
Group Study
Library
This however has it’s limits as we must acoustic seperation.
Residential
Co-Working
change due to the ever changing curriculum
consider spaces that require privacy and
Reception
Meeting Room
Quiet Study
Exhibition
Communal
Bicycle Storage
Parking Laundrette
Micro Adjacencies
Our Adaptation Inspired by The Future Campus
Lectures Seminars Meeting Spaces Communal Spaces Food & Drink Co-Working
Collaborative Workspaces
66
5.6
NOISE REQUIREMENTS
40
discussed previously the environmental noise causers are often much higher. Here
-4
5d
B(A
requirements of our outlined programme, they compare to external noise causers.
1
consideration when plannign the internal environment.
Sources of Environmental noise ranked from most to least harmful to well being
often come in below the WHO standards This is something we will have to take into
A)
dB(
)
75
Decibel A [dB(A)]: a filter that adjusts decibels for the frequency range that the human ear is capable of hearing which is 1kHz to 4kHz. Out side this we cannot hear
It can be seen that our proposed spaces but are highly contrasting to external noise.
100
45-55 dB(A) 45-55 dB(A)
we show an overlay of the internal acoustic Informed by building standards, and how
125
-80
the recommended noise level, yet, as
Living Rooms, Classrooms, Lecture Halls, Conference Rooms Bedrooms, Libraries, Prayer Rooms Theatres, Concert Halls, Recording Studios
70
The WHO outlines that 56 dB(A) is
Kitchens, Shopping, Common Spaces, Dining Halls, Computer Rooms, Workshops Corridors, Open Offices, Bathrooms, Toilet Rooms, Reception, Lobbies, Shopping Office, Courtrooms, Private Work Rooms
) B(A 25-30 d ) ) (A B(A 25-30 d 5 dB 3 0-3
Outlining the Internal Noise Requirements for Pre-determined Programme and its Relation to External Noise Pollution
150
External Traffic
Commercial Innovation hub Single use space Services Transdisplianry Space Mixed use Space
Exterior noise from nearby traffic
2
Interior Noise
3
Impact noise
4
Airborne noise
WHO recommended 50 noise level (56 dB) 25 Quiet Spaces
5
Background noise
10
100
Student Accomodation
Lecture Theaters
1k
Collaboratitve workspace
10k
100k
0
67
5.7
DESIGN OPPORTUNITIES Adaptive Aspects of the Building Weâ&#x20AC;&#x2122;ve identified 3 individual methods for
Entrance
responsiveness to environmental variability,
Office
which ultimately allows the building to react more effectively to external stimulus. The geometry manipulation consists of either volumetric adpativity or internal adaptivity, the latter being a more achievable method of noise management.
Catering
Facade treatment allows for the effective deflection/absorption of noise before it
Teaching
reaches the internal environment, which we will be exploring as a responsive mechanism. Programmatic arrangement allows for the flexibile adaptivity of the internal environment and is a viable solution to preventing noise. We aim to simulate how sound is distributed on site at specific times and find the optimal arrangement without the need for it to be adaptive.
Geometry Manipulation
Facade Treatment
Programmatic Arrangment
THE FUTURE CAMPUS We believe that the future campus will be contained within one building, where students live, work, and rest. This comes as a by-product of the emergence of digital learning, while also focussing on the importance of student contact with tutors.
69
5.8
0 1 2 3 4
Input Parameters We are using a variety of number sliders to allow for the manipulation of varying data inputs feeding into a parametric model, modelled in grasshopper to allow for complete design control based of a series of data inputs.
TYPOLOGIES
Generative Algorithm The genetic algorithm allows us to explore an exponential amount of design options in order to best satisfy our design goals based of measurable outputs.
Urban Block Type
Input variables and measureable output data sets that we will use to test the urban blockâ&#x20AC;&#x2122;s acoustic performance
A
B
C
D
Linear Semi Private Courtyard Perimeter Atrium Tower
E
Output Measures We measure the designs generated by the generative algorithm process by a set of predefined goals. To filter through the designs that satisfy the criteria set at the start of the process we can use the output measures to help filter the possible designs
5
6
7
Optimal Max
Total Floor Area 8
Urban Block typology Selection
Building Depth
Area Sq.
Min
9
Max
Max/Minimun Sound levels Min
Here shows a range of the input variable
55
65
75
85
Max
Environmental Data Input
Sound Level at Elevation Panel
that we will use to manipulate each of the urban block typologies that we intend to test
No. Of decibels
Building Height 4
Iterating to find
Decibel Drop off Over Distance Min
Density 0
Typologies Input
Min
0.5
15
25
35
45
Max
1
for acoustic performance. These include variables involved in its physical form and others are varying testing measures. From
Variance 0
0.5
1
Map Privacy
the input data set we will acheive a urban block typology that we can then test its
No. of Divisions
measureable outcomes. We do this so we 5
can search the design space for outcomes that suit our desired outputs. Here we can
6
7
8
9
Site Location (X,Y,Z)
also cross test different solutions that benefit the buildign design in different ways. An example of trade off would be the
Accesss Points
acoustic performance and how that affects the overall building footprint.
1
2
3
4
Input Noise Data
Input Daylight Data
Xm2 Xm2
Programme Spatial
70
5.9
Requirements Input
ADJACENCIES
Find Optimal Proximities Based 0 1 2 3 4
Input Parameters
These are the data sets that we intend to use to manipulate the room locations and the output measures we will be testing
We are using a variety of number sliders to allow for the manipulation of varying data inputs feeding into a parametric model, modelled in grasshopper to allow for complete design control based of a series of data inputs.
Generative Algorithm The genetic algorithm allows us to explore an exponential amount of design options in order to best satisfy our design goals based of measurable outputs.
Room Types A
B
C
D
Lecture Theatre Office Seminar room Breakout Residential
E
on Spatial Acoustic Propoperties Output Measures We measure the designs generated by the generative algorithm process by a set of predefined goals. To filter through the designs that satisfy the criteria set at the start of the process we can use the output measures to help filter the possible designs
Map Adjacencies by Combining
Here shows the input and output variables
5
6
7
8
Internal Adjacencies Arrangement
We are able to use these inputs to generate
45
35
55
65
Max
Core Generation Distances from noise Source
Daylight Requirements
suits the changing site specific data. From 0
Min
0.5
2
3
4
5
Max
6
Max
1
Internal Room Height
options and output the best solutions to Mixed vs Single Use
compare against each other. This also allows us to carry forward multiple options
45
55
a number of different scenarios that best this we can manage a wide rage of design
Max
Max/Minimum Sound levels Min
35
Meters
Min
9
Internal Acoustic Requirements 25
Max
Internal Acoustic Spread
that we are using to manipulate the spaces and their primary adjacencies on the site.
No. Of decibels
Min
Room sizes (m2) 4
External Data
Acoustic Transmission
0
0.5
Min
3
4
5
1
Adjacencies Fit Around Cores
Internal Floor area
into the next design phases. Min
15
25
35
45
Max
Envelope Around Adjacencies
Xm2
Lecture Theatre
3
Seminar Rooms
5
Research Laboratory
2
Cafe
1
Offices
8
5.10 PLAN
GEOMETRY RATIONALISATION Varying Levels of Flexibility
Adjacency Input
SECTION
THE CORRIDOR PLAN
The Geometry of our design can be dictated by the levels of flexibility within it. A
SECTION
flexible building poses acoustic problems of decompartmentalisation which can be solved by reducing the amount of flexibility
INCREASING FLEXIBILITY
71
Iterating to find Optimal
THE OPEN PLAN
- a corridor plan building is a great acoustic Morphing Connecting
PLAN
solution.
Adjacencies However, the future campus requires
SECTION
an element of flexibility in order to allow for adaptable working spaces and collaboration spaces.
THE BUROLANDSCHAFT
Iterating to find Optimal
PLAN
The best solution for an all-in-one campus is to provide an extreme level of flexibility to
SECTION
the extent where floors are interconnected, and the ground floor of the building becomes part of the urban environment.
INTERCONNECTING FLOORS Merging with
PLAN
Floor Planes
SECTION
THE BUILDING AS PART OF THE CITY
72
FIXED
5.11
Xm2 Xm2
INTERNAL PANELISATION
Requirements Input
Flexible and Static Panelisation Methods In studio 1 we developed a panelised system for manipulating sound. we are looking to develop that system on a larger scale. The difference is we are looking to manipulate real environmental noise from
Kinetic Panel Systems
differing sources to create optimised acoustic
environments
building programmes.
for
different
Xm2
Programme Spatial
FLEXIBLE
Iterating to find Optimal
Fixed Panel Optimisation
Lecture Theatre
3
Seminar Rooms
5
Research Laboratory
2
Cafe
1
Offices
8
5.12
PERMANENT PANELISATION Acoustic Simulation and Conditioning in Vaulted Structures - Adam Hannouch
0.7
F - Diagrid Angled Faces
0.4 Pattern F (0.35)
0.3
Pattern B (0.20)
0.0
Pattern A (0.19) Pattern D (0.14)
0
this research is to analyse various panel
5
10
15
20
25
Frequency (Hz)(10^3)
tessellations in order to diffuse and absorb or
E - Diagrid Pyramid
Pattern E (0.38)
spaces in this paper. The key objective in
noise
D - Parallel Faceted Corner Pyramid
Pattern C (0.62)
0.5
0.1
environmental
C - Staggered Inverted Pyramid
0.6
stereotomic strategies for multi-listener
explores
B - Staggered Pyramid
0.8
faceted
Hannouch
A - Parallel Pyramid
0.9
0.2
Adam
Scattering Performance (Medium Density)
1.0
Scattering Coefficient
73
reverberation
sound with maximum effectiveness. The graphs compare the results of medium and low density patterns (how many
Scattering Performance (Low Density)
pertrusions per sq metre) which varies
Pattern E (1.00) Pattern C (0.99) Pattern F (0.98)
the results as well as the tessellation
1.0
iterations.
0.9
Pattern B (0.95)
0.8
Pattern D (0.85)
rises above 10kHz, Pattern C and E provide the greatest coefficient in the medium density and low density test respectively, while providing the second greatest coefficient in the other test. This means for low density tessellations, pattern D is a superior acoustic absorber, and pattern C provides greater absorption for medium density tessellations.
Scattering Coefficient
The results show that when the frequency
Pattern A (0.77)
0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0
5
10
15
Frequency (Hz)(10^3)
20
25
74
5.13
Xm2 Xm2
PANELISATION
Requirements Input
Input Parameters We are using a variety of number sliders to allow for the manipulation of varying data inputs feeding into a parametric model, modelled in grasshopper to allow for complete design control based of a series of data inputs.
Input Parameters and Performance Metrics
Spatial Requirements (max dB value)
To optimally treat a space with the use
30
35
40
45
50
Generative Algorithm
Output Measures
The genetic algorithm allows us to explore an exponential amount of design options in order to best satisfy our design goals based of measurable outputs.
We measure the designs generated by the generative algorithm process by a set of predefined goals. To filter through the designs that satisfy the criteria set at the start of the process we can use the output measures to help filter the possible designs
55
of acoustic panels, we must first know what a successful design is and what an unsuccessful design is.
Absorb/Diffuse (Concave/Convex Geometry) Convex
Concave
Spread of Sound
We can create a number of solutions to the problem by varying the following input
External Facade Geometry Forming
Morph Room Shape 4
5
6
7
8
Min
Max
Kinetic Panel Systems
9
Absorption
parameters: spatial requirements (dB value), concave/convex geometry of panels and acoustic pressures, the morphing of
Min
Scale â&#x20AC;&#x2DC;Acoustic Pocketâ&#x20AC;&#x2122; 0
1
2
Max
3
the space, the scale of the space and the frequency cancellation.
Frequency Cancellation Min
By measuring the spread of sound and the
Iterating to find Max
Optimal
absorption of the sound using ray-based and gradient based performance metrics, we can understand what the best solution is.
Xm2
Programme Spatial
Fixed Panel Optimisation
Lecture Theatre
3
Seminar Rooms
5
Research Laboratory
2
Cafe
1
Offices
8
Privacy Privacy
75
5.14
Noise Data Input
FACADE FUNCTION TRADE OFF Analysis of the Typical Open/Close Adaptive Facade
Increased Daylight
Temperature Control
Input Noise Data
Increased Daylight
Temperature Control
x2 -6d
B
Find Decibel Distances
Noise Prevention
Noise Prevention
There are several other requirements that
Establish distance from noise Establish decibel reduction source over distance
Increased Ventilation
Increased Ventilation dB
48
need to be considered when designing for
Wall Build-Up From
View View Availability
acoustic comfort and overall well being.
Decibel Readings
Availability
Trade-offs between privacy, acoustics,
dB
102
views, ventilation, temperature and daylight
Privacy Privacy
all need to be considered within the design.
Input Sound Transmission
Facade Zoning Increased Daylight
Temperature Control
Determine Vertical Arrangement of Spaces Based on External Acoustic Qualities
Increased Daylight
Temperature Control
Establish Diffuser or Absorber Increased Ventilation
Noise Prevention
Noise Prevention
Geometry Formed From Zoning Requirements
Establish facade Geometry
Increased Ventilation
View View Availability Availability
Establish facade Geometry
Privacy
76
5.15
Temperature Control
Noise Data Input
Increased Daylight
9am
FACADE FUNCTION ADAPTABILITY
Noise Prevention
Increased Ventilation
Temperature Control
Analysis of Varying Metrics Tested Against Times of the Day
Input Noise Data
Privacy
Increased Daylight
B
Find Decibel Distances
Establish distance from noise Establish decibel reduction source over distance
12pm
Privacy View Availability
x2 -6d
These trade-offs are not fixed and have the ability to change in need over time. For instance, views are not as important
Temperature Control
Increased Daylight
Noise Prevention
Increased Ventilation
dB
48
Wall Build-Up From Decibel Readings
as acoustics and temperature at 10pm, or
3pm
privacy is less important than views during the middle of the day. Comparing all of
dB
102
Privacy View Availability
these contrasting factors at varying times of the day demonstrates a need for an adaptable facade that can respond to the
Noise Prevention
Increased Ventilation
Temperature Control
hourly changes
Facade Zoning
Determine Vertical Arrangement of Spaces Based on External Acoustic Qualities
6pm
Privacy View Availability
Temperature Control
Increased Daylight
Increased Daylight
Input Sound Transmission
Noise Prevention
Increased Ventilation
Establish Diffuser or Absorber
9pm Noise Prevention
View Availability
Geometry Formed From Zoning Requirements
Establish facade Geometry
Increased Ventilation
Establish facade Geometry View Availability
77
5.16
Noise Data Input
Input Noise Data
FACADE
Input Parameters We are using a variety of number sliders to allow for the manipulation of varying data inputs feeding into a parametric model, modelled in grasshopper to allow for complete design control based of a series of data inputs.
Setting Out Clear Goals, Inputs of Data and Measures to Filter Through Potential Facade Design Options
Generative Algorithm The genetic algorithm allows us to explore an exponential amount of design options in order to best satisfy our design goals based of measurable outputs.
Sound Source Location X,Y,Z Axis
We measure the designs generated by the generative algorithm process by a set of predefined goals. To filter through the designs that satisfy the criteria set at the start of the process we can use the output measures to help filter the possible designs
55
65
75
No. Of decibels
Max
dB
48
Facade Sound Absorption 85
No. Of decibels
Min
95
Max
filter the different design options.
External Facade Geometry Forming
External Acoustic Panel Scale
Sound Transmission Class Min
4
5
6
7
8
Wall Build-Up From Decibel Readings
to acheive, a set of inputs that we can test against and a series of measures so as to
B
Find Decibel Distances
Facade Sound Diffusion
Decibel Volume 45
x2 -6d
Establish distance from noise Establish decibel reduction source over distance Min
To test the design of the facade we first must define a set of goals we are looking
Output Measures
55
65
75
85
dB
102 Max
9
Input Sound Transmission
Internal Audible Sound
For the facade design the inputs were developed for environmental noise data
Material Absorption Factor 0
0.5
Min 1
15
25
35
45
Max
Facade Zoning
collected from the site. The measures were sound transmission and decibel reduction
Distance from Sound Source
Determine Vertical Arrangement of Spaces Based on External Acoustic Qualities
and the goals were to meet the internal acoustic requirements of our programme.
Establish Diffuser or Absorber Geometry Formed From Zoning Requirements
Establish facade Geometry
Establish facade Geometry
THE TRADE OFF Each stage of our design process contains a trade off. Noise eradication priority would come at the expense of other environmental issues, such as daylight, temperature and ventilation. Now the design space has been set, we can begin to optimise how the spaces are arranged and sound internally manipulated.
1.0 2.0 3.0 4.0 5.0
APPROACH
PROBLEM IDENTIFICATION
CONTEXT
STRATEGY
DESIGN CONSIDERATIONS
6.0
METHOD In this capter we develop the system which will eventually design our building. These are initially tested in isolation.
DEVELOPING THE COMPONENTS Now we understand what the input parameters are and how we can measure the success of our design, we can start to implement these methods in parametric models.
81
6.1
DESIGN PROCESS A Step by Step Projection to Outline our Design Process.
Analyse Envrionmental Data That Interacts With The Chosen Urban Block
Determine The Internal & External Acoustic Qualities & Desired Internal Noise Levels
Internal Panelisation & Room Definition
Define The Building Envelope & Internal Arrangement Based On Adjacency Study
Responsive Ceiling
Identify Sound Source Locations/Types
Noise
Establish Facade Geometry Based on ST1 Study
Defined Adjacency Arrangement Around Circulation Cores
Fixed Ceiling
Map Urban Soundscape & Retrieve Acoustic Data
Establish Facade Absorb or Diffusion
Solar Facade Development & Treatment
This shows our vision for the design process from concept to building. This sequence
Road Traffic Pedestrian Traffic Construction Air Pollution Trams/trains Residential areas Commercial areas
Define Building Envelope
has been influenced by our research in the ST1, Serpentine Pavillion, methodology and
Project Acoustic Information Onto Proposed Massing Elevations
adapted and improved so it can be applied on a larger, building scale.
Facade Panelisation & Rationalisation
Input Noise Data
Divide facade into Equal Segments
Privacy x2 -6d
B
Arrange Adjacecnies Based On Predetermined Data Sets
Identify Appropriate Urban Block
Type A
Iterating Internal Geometry
Establish distance from noise source
Establish decibel reduction over distance
Type B Type C
Daylight dB
48
Determine The Internal Programme & Spatial Qualities Requried
Materiality Number of bounces Distance from noise Decibel rating
Type D
Define Goal for number of Panel types
dB
102
Determine Urban Block Circulation Core
Input Sound Transmission
Determine Vertical Arrangement of Spaces Based on External Acoustic Qualities
Xm2 Xm2
Connecting Internal Spaces
Xm2
Lecture Theatre
3
Seminar Rooms
5
Research Laboratory
2
Cafe
1
Offices
8
Sort Panels based on Different Panel Types
The Determined Adjacency Sizes Interact With Site Specific Data
Establish facade Geometry
Establish Diffuser or Absorber
An Adjacency Arrangement Is Defined
Generate Floor Plates
Distance from noise Programme requirements Materiality Street facing Distance from noise Decibel rating Height from the ground
Sort the Panels into groups by Panel type
82
6.2
TYPOLOGIES
Typology A Linear
The results of testing of different block typologies displayed in a visual format These are the results of the testing phase of
A1
A2
A3
A4
A5
A6
A7
A8
A9
A10
B2
B3
B4
B5
B6
B7
B8
B9
B10
C2
C3
C4
C5
C6
C7
C8
C9
C10
D2
D3
D4
D5
D6
D7
D8
D9
D10
Typology B Perimeter
typical urban city blocks. We tested 4 types in order to achieve a greater understanding of which is the optimal solution for the site specifc noise levels. This information was mapped onto the facade and the decibel level (as an number set) was transferred as a colour gradient for easy visual
B1 Typology C Atrium
understanding. From this information we can gather which typology, position & location, height and density offers the best acoustic solutions to the changing sound levels around the site. This is information we can measure and test to find optimal
C1 Typology D Tower
solutions to carry forward in our design process.
D1
dB(A) 40
45
50
55
60
65
70
75
80
83
6.3
ADJACENCIES TESTING
Initial Adjacency Arrangement In Design Space
Using the programme as input values for physical spaces that then interact with the site specific data These are the outputs of the room adjacency testing. This shows different arrangemetns of how spaces can be organised on the site dependant on their input parameters. We intend to update this process and refine the outputs so we are able to show a programmatic arrangment across varying urban block typologies. Please see below for a demonstation of how this happens.
Iteration 1
Iteration 2
Iteration 3
Iteration 4
Iteration 5
84
6.4
GEOMETRY RATIONALISATION Internal Space Development The diagrams to the right show the method of creating the internal geometry. By taking the intitial adjacencies, we can select which require a physical connection - for instance lecture theatres and breakout spaces. These are merged using metaballs and can vary in connectivity (left). The spaces cut a hole in the floor plates to create a mixture of flexible interior spaces and fixed, linear spaces.
6.5
85
PERMANENT PANELISATION Optimising the Internal Environment Using the same method as we used for ST1 panel optimisation, we can generatively optimise how a space diffuses and absoribs
Number of Attractorof Number Points Attractor 8 Points 8
6
Depth of Acoustic Depth of Panel Acoustic 6 Panel 6
7 7
6
sound.
Distribution of Attractor Distribution Points of Attractor 6 Points
Scaling of Acousticof Scaling Panels Acoustic 10 Panels 108 8 6
5 5
5 5
6 4
6
4 2
5
4
4
20
5
4
4
0
Sound Focus Direction Sound Focus Direction 70
70
70 60
70 60
60 50 50 40 40
60 50 50 40 40 30 30
Number of Attractorof Number Points Attractor 8 Points 8
Distribution of Attractor Distribution Points of Attractor 6 Points 6
Depth of Acoustic Depth of Panel Acoustic 6 Panel 6
108
7 7
6
8
5 5
5
5
6
5 4
6
5
Scaling of Acoustic Scaling of Panels Acoustic 10 Panels
4 4
4 4
6 4 2
20
Sound Focus Direction Sound Focus Direction 70
70
70 60
70 60
60 50 50 40 40
60 50 50 40 40 30 30
0
This method is ideal for our fixed internal spaces, as we can choose to disperse or concentrate sound in one place to suit each environment .
Distribution of Attractor Distribution Points of Attractor Points 6 6
Depth of Acoustic Depth of Panel Acoustic Panel 6 6
Scaling of Acoustic Scaling of Panels Acoustic Panels 10 10 8 8 6
5 5
5 5
6 4 4 2
4 4
4
2 0
4
0
Sound Focus Direction Sound Focus Direction 70
70
70
70 60
60 60
50 50
40 40
60 50 50 40 40 30 30
Number of Attractorof Number Points Attractor Points 8 8
Distribution of Attractor Distribution Points of Attractor Points 6 6
Depth of Acoustic Depth of Panel Acoustic Panel 6 6
7
Scaling of Acousticof Scaling Panels Acoustic Panels 10 10 8 8 6
7
5
5
6
5
5
6 4
6
4 2
5
4
4
2 0
5
4
4
0
Sound Focus Direction Sound Focus Direction 70
70
70
70 60
60 60
50 50
40 40
60 50 50 40 40 30 30
Number of Attractorof Number Points Attractor Points 8 8
Distribution of Attractor Distribution Points of Attractor Points 6 6
Depth of Acoustic Depth of Panel Acoustic Panel 6 6
10
7 7
6
8
5 5
5
5
6
5 4
6
5
Scaling of Acoustic Scaling of Panels Acoustic Panels 10
4 4
4 4
2 0
8 6 4 2 0
Sound Focus Direction Sound Focus Direction 70 70
60 60
50 50
40 40
70 70 60 60 50 50 40 40 30 30
86
6.6
ADAPTIVE PANELISATION Using Baffles to Absorb Noise in Acoustic Pockets we plan on having internal spaces not defined by walls but defined by function. To ensure our internal spaces have the best acoustic environment we are planning to utilise kinetic ceiling , this ceiling can alter form into to match the activity taking place. the ceiling will form a sphere creating an environment best designed for distributing sound and acoustic pressure.
9am
9am
87
6.7
Education (9am) - Needs to block out environmental noise but also stop glare on screens so top of the facade is open to allow for natural day light to enter.
FACADE FUNCTION
12am
12am
Controlling Environmental Trade-offs in Varying Typologies 3pm
3pm
to not only control the manipulation on
Residential (3pm) - needs to be conscious of higher levels of environmental noise from the end of the school day but still needs to allow in natural light
environmental noise but also multiple other environmental considerations. The design is there to absored any environemental
Residential (12am) - a time of day when there is less environmental noise and a good opportunity to increase natural daylight Education (12am) - Likely time for lectures to occur, as a result the facade needs to stop glare but not shut out natural daylight completely
By using an adaptive facade we are able
on the facade behind the adaptive elements
Residential (9am) - Needs to block out noise but also allow in some areas of morning light.
Education (3pm) - Likely time for lectures to occur, as a result the facade needs to stop glare but not shut out natural daylight completely, this time the opening is on the other side of the facade so to account for the movement of the sun.
Education
Residential
noise during times of the day when the adaptive elements are more open.
6pm
6pm
Residential (6pm) - The time when most environmental noise occurs,however most residents are not home but the facade still needs to respond to directional environmental noise. Education (6pm) - Lectures are still in progress, offices and research labs are still in the building the facade needs to shut out large volumes of environmental noise
9pm
9pm Residential (9pm) - Needs to block out noise from the road, but also allow views from the building of the city at night. Education (9pm) - Not occupied at this time, but it is a good opportunity to ventilate the building and cool the spaces.
88
6.8
POST PANEL RATIONALISATION Minimising Panel Tessellations for Efficient Material Usage Exploring a number of different option of panel division allows us to visualise the effect that different surface division have on panel rationalisation. this exercise allows us to group panel types by colour, this process is useful in terms of exploring the build-ability of the facade. as can be seen from the diagram the less uniform the panel divison is the more different types of panels will form, and visa versa.
WHAT NEXT? In ST3, the goal is to stitch each element of the process together in a cohesive building design. We aim to continue developing the ideas weâ&#x20AC;&#x2122;ve worked on to understand their viability on a large scale project.
CONCLUSION We feel that our existing knowledge of generative design methods have aided us with the development of this project so far. We’ve aimed to develop our knowledge of computational theories further to enhance our ability to use specific tools. The previous project has put us in good stead to develop our ideas further this semester. However, with the building scale being larger, we have learned to acknowledge different limitations to our pavilion project. Again, we are not sound engineers nor do we have the correct tools to create optimal acoustic environments, but our knowledge of certain softwares has allowed us to develop acoustic manipulation methods more effectively than we were able to in our last project. We were able to work well as a group and aimed to spread the workloads of computational use and presentation more effectively Again, we each feel as though we’ve gained a significant body of knowledge, working in a collaborative nature and with our software knowledge. Our focus is now on how we can take the skills we’ve developed onto our final semester.