ARCHITECTURE PORTFOLIO Rick Schutte
ARTIFICIAL RESPIRATION: AI KIN
Fall 2020 | Academic | ARC480: Adv. Topics in the Technology of Architecture:
AIR QUALITY IN
Summer 2020 | Personal | Velux Competition Winning S
VACUUPR
Spring 2020 | Academic | ARC381: Technology of Architecture | Instructors:
UNCANNY DENSITY: AI GA
Summer 2020 | Academic | ARC480: Adv. Topics in the Technology of Architectur
BRETON TOWER LOBBY INSTALLATION DESIGN AND P
Summer 2020 - Ongoing | Professional | Visualization and de
HYPERLOOP STATION
Winter 2020 | Persona
NETIC SOLAR-POWERED PAVILION
: Re-integrating Design | Instructor: Salman Khalili-Araghi | Individual Project
NDEX PAVILION
Submission | Advisor: JP King | Groupmate Mina Onay*
RINTING
: Tommy Reslinski, Tom Bessai | Groupmates David Kalman, Randa Omar*
AN PLAN REGENERATION
re: Lazy Computing | Instructor: Andrew Bako | Groupmates: Zhenxiao Yang, Lauren Ngo*
PARKVIEW TOWERS AMENITY FLOOR VISUALIZATION
esign work for QuadReal Property Group | Individual Project
N AND POD PROPOSAL
al | Individual Project
*Though these are collaborative projects, all included work has been completed by Rick Schutte unless otherwise stated
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR-POWERED
AI-generated pavilion
PAVILION
form continually changes to optimize its environmental comfort
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR POWERED PAVILION
CHAPTER ONE OF ARTIFICIAL RESPIRATION PAVILIO Programmed Flexibility
100 0째C
3 0 째C
40째C
f ig. 1
f i g. 2
fig. 3
Sh a p e M em or y Alloy is a m at er ia l tha t ca n b e de for me d a nd the n whe n he a te d , w i l l re tur n to i t fo r m. A s seen in f ig. 2- 6, t he a lloy is b e ing he a te d to 6 0째C a nd is e xe rtin g a fo rce to re tur n to a nd i f t h e r e is a su f f icien t cha ng e of te mpe ra ture .
ON // SHAPE MEMORY ALLOY MECHANISM
50째 C
6 0 째C
70째 C
f ig . 4
f i g. 5
fig. 6
ts or i g in al f o r m. A s s een in f ig. 1, t he alloy ( N itinol) ca n b e tra ine d a t 1000째C to re set i ts o r i g i na l it s train ed f o r m. S M A can t her ef or e b e u se d a s a Sola r-Powe re d a ctua tor if it is prop e rl y tra i ne d ,
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR POWERED PAVILION
CHAPTER ONE OF ARTIFICIAL RESPIRATION PAVILION Programmed Flexibility
PAV I L I O N M E C H A N I S M N O D E Solar rays heat coiled Nitinol wires to produce potential kinetic energy Remote actuated low-power locking pawl allows full control mechanism movement
Arduino Micro with Receiver
Nitinol Wire
R O TA T E U P
Locking pawl
R O TA T E D O W N
Black Metal Housing Heats Interior Space due to Sunlight
TELESCOPING ROD RETRACT
EXTEND Nitinol Wire
Coiled Nitinol wire is used to extend and retract the telescoping rods in order to reshape the pavilion structure
N // SHAPE MEMORY ALLOY MECHANISM PA N E L B L A D E S As telescoping rods extend and retract, the macroscopic form transforms from prioritizing precipitation/light impermeability to ventilation.
Ven til at ed Sur fa c e
Impermea ble Su r fa ce
RETRACT
EXTEND
P AV I L I O N P A N E L Node Nitinol Wire
Te l e s c o p i n g R o d
The Panel combines the three mechanisms. Each part easily clicks together for speedy construction and the kinetic capabilities allow for programmable formation.
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR POWERED PAVILION
CHAPTER TWO OF ARTIFICIAL RESPIRATION PAVILION Pavilion Form Generated From Site Input
Site A Site B
Site C
Site Analysis
Pre limin a ry Fle xibility
Goal: track site circulation and generate initial pavilion form. Designer will work alongside the AI in determining optimal preliminary flexibility depending on goal-function of pavilion. The three listed site topologies represent a designer’s possible goal functions: increasing the performance of existing architecture, increasing the performance of existing leisure spaces, and increasing the performance of urban circulation. Such goal factors could not be generated by the AI but can be greatly optimized.
N // ARTIFICIAL ENVIRONMENTAL INTELLIGENCE R e d , Gr e e n , and Bl ue Inputs Beco me AI Tra i ni ng In pu t Temperature
Wi nd
Preci p itati on
Temperature
Wi nd
Preci p itati on
Temperature
Wi nd
Preci p itati on
A
B
C
Environmental Analysis Cont i nu o us F l e x i b i l i ty
The AI will continually record how the pavilion is being used in different environmental conditions and develop goal-functions of its own based off the initial parameters input from the designer. It will control the form of the pavilion to prepare for forecast weather and learn how people use the site to increase both the pavilion’s environmental and cultural performance.
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR POWERED PAVILION
A I C I R C U L AT I O N P R E D I CT I O N AI Learns and Predicts Human Movement
A G e n e ra tive Adver s ar ial Net work (GA N) is a type of A I . I t has a G e n e ra t o r and a Dis cr iminat or that both lear n from a set of i n p u t i m a ges . Th e G e n e rat o r cr eat es new images (like an Artist), and the D isc r i m a t o r a t t empt s t o dis t ing uis h the new images from the or igin a l i n p u t imag es (like an Ar t Cr itic). Th e g e n e ra t ed imag es o n t he r ight represent w here the G enerato r w a s a b le t o fo o l t he Dis cr iminator and create images indisti n g u i sh a ble fr o m t he input ima ges. I n t h i s p ro ject , a GA N was us ed to lear n from circulation paths th rou g h a s it e and g ener at e it s ow n predicted human paths.
A I PA V I L I O N F O R M G E N E R A T I O N Environmental Input Becomes 3D Surface Environmental Input Map + Circulation
+ Te m p e r a t u r e
Input
+ Wind
Desired Output
Precipitation
AI Output
A Co ndit io nal Gener at i v e Adv ersar ial Netw ork (C GA N ) is a m or e advanced t y pe o f A I . I t also has a G enerator and a D iscr im a t o r t hat ar e t r ained from input images, how ev er the G enerat o r lear ns fr o m t wo s et s of input images and tr ies to translate o n e int o t he o t her. I t i s as t ho ug h t he Gener ator lear ns English and French, and the D i scr iminat o r is it s Language teacher. After hav ing lear ned the t w o lang uag es , t he Generator can now translate one image set i n t o what it pr edict s is t he other. New unseen images can now be t ra ns lat ed int o a new pr edicted image. I n t his pr o ject , a C GA N w as used to translate env ironmental i n put int o t he 3d s ur face of a pav ilion.
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR POWERED PAVILION
AI Environmental Optimization AI learns to optimize environmental comfort of pavilion
Environmental Input Map + Circulation
+ Te m p e r a t u r e
+ Wind
Precipitation
L
I n t h i s p ro j e ct , I have cr eat ed t wo la ng ua g e s for a C GAN to tra nsla te b e twe e n . The i np ut l a ng ua g e co bine d i n t o a sin gle colou r f u l im age . The output la ng ua g e is a he ig htma p ima ge tha t i s us e d to a uto m s o ft w a re , a nd t he black t o whit e g ra die nt re pre se nts the he ig ht of the pav ilio n ro o f a t tha t l o ca ti o n r a i nw a te r ru n of f , an d ven t ilat ion control. D iffe re nt pav ilion for ms a re produce d to ma xi mi ze co mf
Solar Powered Kinetic Pavilion Solar-Powered mechanisms move the pavilion according to AI to optimize its form
Environmetal Input
Morning
P r e d i c t e d E nv i ro n m e nt a l I n p u t
Afternoon
M e d Te m p
H i g h Te m p
High Wind
Low Wind
Low Precipitation
Output for Morning Conditions
Low Precipitation
Output for Afternoon Conditions
on sist s of th e C i rc u l a t ion , Tem per at u r e, Wi nd, a nd Pre cipita tion of a site a t a spe cific ti me co mma tic ally ge n e ra te t h e 3d f or m of t he pavilion. The re d ba ckg round is ig nore d by the p a ra me tr i c . Th e r ed, g re e n , a nd blu e ar r ows r epr esen t e mb e dde d comfort optimiza tion for sola r he a t g a i n, or t in dif f e re nt e nv i ro n m en t al con dit ion s using the pav ilion’s kine tic S MA me cha nis ms .
ARTIFICIAL RESPIRATION: AI KINETIC SOLAR POWERED PAVILION
Morning Experiential Control: Extended Extended Panels mimic forest canopy conditions while producing shade
Th e A I m oves b eyon d envir on me nta l optimiza tion into e xpe r ie ntia l optimi za ti o n. The A I w i l l re c t o o p t i m i z e t he pavilion ’ s ex per ie ntia l qua litie s a ccording to wha t it ha s l e a r ne d . The A I i s no l
Further description words here
Afternoon Experiential Control: Retracted Retracted Panels generate an intimate, comfortable environment
cor d th e vis i to rs ’ ti m e spen t in dif f er en t loca tions a ccording to diffe re nt e nv ironme nta l co nd i ti o ns long er a de s i g n t o o l bu t a con t in ou s collab ora tor in the e v olutiona ry de sig n proce ss o f a rchi te cture .
AIR QUALITY INDEX PAVILION: VELUX COMPETITION WIN
NNING SUBMISSION
Tinted glass walls create an experiential representation of global air pollution levels
AIR QUALITY INDEX PAVILION: VELUX COMPETITION WINNING SUBMISSION
Air Quality Index Pavilion Tinted glass walls represent city pollution levels
The tragedy of climate change is that it alters our environment so slowly that we b ecome comfortable with it. We fail to recognize that the whole earth shares a single breath. Upon enter ing the proposed Air Quality Index Pavilion (AQI P), visitors witness an immediate transfor mation of natural light as it is filtered through vertical layers of tinted curvilinear glass. Immersed in layers of optically simulated air pollution, visitors are invited to explore and contemplate a global phenomenon of hazardous atmospheres, indexed by the colourful language of light.
Pollution Levels Translated Into Colours The source of city pollution is mapped into a range of colours representing healthy and hazardous conditions
Pavilion design, concept, and renderings created with Mina Onay, drawing in bottom right completed by Mina Onay
VACUUPRINTING FABRICATION RESEARCH
Development of a speedy alternative to 3d printing - vacuum forming with a kinetic mold
VACUUPRINTING FABRICATION EXPLORATIONS
A thin plastic sheet i s h ea ted th en v a c u u dow n against par a m etri c f orm
Kinetic Mold L inear a c tu a tors a re p rogra m surface i n terp ol a ted w i th a be
ume d
R e qui re d p a rt i s las er -cut fr o m pr int and as s e mb l e d w i th o t her par t s int o mo del
med t o g e n e ra te a d of fle x ib l e stri p s
Completed Model
VACUUPRINTING FABRICATION EXPLORATIONS
50 >
KBTO/ ft
0.0
2
- 50 <
Solar Radiation Benefit Diagram Panel forms are produced to optimize heat gain resilience
3 d p ri nt i n g allows f or ex t r em e fle xibility in the possible forms tha t ca n b e p ri nte d . H o w e v e r, w f o rm i n g allows f or r apid pr in t ing time , but re quire s a custom form to be p ri nte d a g a i ns t fo r e a c p ri nt i n g of vacu u m f or m in g wi th the fle xibility of 3d printing .
Fluid Simulation Panel grooves are used to optimize rainwater movement
wit h great er fl e x i b i l i t y, ef f icien cy is r edu ced a nd printing time ca n ofte n be impra ctica l . V a cuum ch diff er en t p ri nt . V a cu u pr in t ing u ses a para me tric, kine tic mold syste m tha t a llows t he s p e e d y
Design and physical model created in collaboration with David Kalman and Randa Omar, all drawings and simulatons created by Rick Schutte
UNCANNY DENSITY: AI GAN PLAN REGENERATION
Teaching AI to generate Architecture - then exploring it
UNCANNY DENSITY: AI PLAN REGENERATION
AI House Generation
Convert generated plans into 3d models
The G A N AI i s tr ai n ed o n c o l o u r e d h o u s e p l a n s l a b e l l e d a cco r d i n g t o t h e i r r o o m fu n ctio n , the A I w a ll s of t he gen er ated i m ages are a u t o m a t i ca l l y e x t r u d e d a n d f u r n i t u r e m o d els ar e p ar am etr ically input , i n t h i s c ase i t r ec y c l es ar ch i t e ct u ra l d e s i g n l o g i c a n d e x p o s e s h i d d e n ten d en cies w ithin the
Uncanny Density
Investigate strange architecture in realtime
t h en gener a t e s t hous an d s o f n ew p l an s th a t h av e t h e e m b e d d e d l o g i c o f t h e o r i g i n a l plan s . The a dded ac c or ding t o t h e r o o m fu n c ti o n c o l o u r. Th e A I ca n o n l y g e n e r a t e w h a t i t â&#x20AC;&#x2122; s l e a r n ed fr o m the field of A r chit e t ur e .
Groupmates assisted in collection and labelling of input images
BRETON TOWER LOBBY INSTALLATION DESIGN AND PARK
Design
KVIEW TOWERS AMENITY FLOOR VISUALIZATION
n and visualization work for two condo buildings commissioned by Quadreal Property Group
BRETON TOWER LOBBY INSTALLATION DESIGN
Lobby Installation CNC panels are backlit to create an intimate ambience in the lobby of the 32 storey condo building
The lobby is the ultimate threshold, not just connecting living spaces to the outside world but connecting provoke conversation, introspection, and exploration, in the hopes of connecting its isolated residents to
Site Topography Residents are encouraged to explore the history of their land
g floors of corridors of rooms of families to their everyday lives. The lobby thus has a responsibility to one another and to the history of the land on which they live.
Installation concept created with Jacqueline Vandervaart
PARKVIEW TOWERS AMENITY FLOOR AND FACADE VISUALIZATION
Parametric Condo Design Grasshopper building code was used to generate condo design options and allow Virtual Reality exploration
31st Floor Amenity Level The pre-construction shared space was visualized through several realtime animations in Unreal Engine
PARKVIEW TOWERS AMENITY FLOOR AND FACADE DESIGN VISUALIZATION
Parametric Iteration 1
Parametric Iteration 2
Parametric Iteration 3
Parametric Iteration 4 Selected Iteration
TORONTO HYPERLOOP STATION
Propo
sal for high-speed sustainable transportation system connecting major North American cities
TORONTO HYPERLOOP STATION fig. 3
Sola r - pow er ed , m agn eti c al l y - l evi t a t i n g Hyp e rl o o p Po d s w i l l co n n e ct ci t i e s v ia vacu u m tu b e in fr as t or f r ic t ion, c r eati n g affo r d ab l e i n t e r -ci t y t r a n s p o rt a t i o n . Th i s i n f r a s t ru ct u re w ill s ign ifican tly low e w ay s , a nd i n ter sec ti o n s to b e tr an s f o r m e d i n t o w a l k a b l e z o n e s a n d p a rk s p a ces . Tho s e w ho can n o t a v i r onme nt a l i m p ac t an d wi l l b e a b l e t o t a k e a d v a n t a g e o f ca r e e r o p p o r t u n i ties fo u n d in lar ge citie
fig. 2
fig. 1
tr ucture. Th e Hy pe r loo p sy stem wi l l al l ow 1 0 0 0 k m / h t ra n s p o r t a t i o n w i t h n e g l i g i b l e a i r r es is tan ce r the d emand of pe r s o n al veh i c l es, an d wi l l p e r m i t t h e t r a n s f o r m a t i o n o f s e l e ct p a rk i n g lo ts , highffo rd to live i n hig h- d en si ty u r b an ar eas wi l l b e a b l e t o co m m u t e h u g e d i s t a n ce s w i t h n e glig ib le ene s.
fig. 3
Rick Schutte, 2020