PORTFOLIO Jun Hu Selected Work 2020 - 2023
CONTENTS
jh2277@cornell.edu Cornell University
ACADEMIC 01/
THE YAN Inkstone: A New Way of Art Museum
02/
PLASTIC FANTASY Southworks: From Waste to Architecture
03/
34-53
COMMUNITY NEXUS Renovation for Connection
05/
10-32
CYBERNETIC FUTURE OF AMAZON Control and Monetization of Data
04/
2-9
54- 75
OTHER WORKS Renovation for Connection
76- 91
01
THE YAN 03
01
Inkstone: A New Way of Art Museum
07
04 02
05
Competition | Individual | Anhui, China | Summer 2020 | Instructor: Bingyu Guo 06
2
Yan holds profound significance within
conventional approaches by abstracting
the realm of traditional Chinese art,
the inkstone's profile—placing emphasis on
intertwining seamlessly with calligraphy,
its outline and hierarchical structure. The
painting, and writing. It has evolved into
central idea revolves around translating
a symbol of literati culture, embodying
the logic, patterns, and forms inherent in
a hallmark of artistic expression. Hefei,
the profile into an architectural language
renowned for its premium inkstone raw
encompassing plans, sections, elevations,
materials, boasts a refined expertise in
and functionality. The intriguing challenge
processing and production techniques.
lies in harmonizing and adjusting function
Leveraging Yan as a foundational design
with form to create a cohesive and
concept, this project diverges from
innovative architectural expression
1.
2.
3.
Select a series of Yan images that showcase distinctive textures and shapes. Employ straight lines and circles to abstractly capture the dynamic movement within the profile (outline/texture), adjusting line weights to signify different levels of hierarchy.
Profile Study Inkstone: A New Way of Art Museum
3
Profile Analysis
01
05
02
Profile Analysis
02
05
01
06
03
07
04
03
15`
04
Transform
Transform
3D representation
3D representation
It is crucial to identify the most
This segment features the
This pattern resembles the
captivating and representative
most captivating profile.
structure of a sky opening,
conventional shape of the
areas within those outlines.
Leveraging its continuity and
enhancing the infusion of natural
building.
The chosen zones will serve as
repetitiveness, we aim to
light and promoting a harmonious
the reference and blueprint for
craft a tortuous and dynamic
blend with the surrounding
subsequent architectural design.
atrium.
environment.
06
Transform
Transform
Transform
Transform
3D representation
3D representation
3D representation
Harmoniously integrate form
The concave shape visually
Establish loft lines across
The form of this profile
The folded surface
and function to serve as
suggests the space as
various hierarchies,
can be translated into a
enhances the atrium
both a circulation pathway
an entrance, creating an
employing a unified logic
soundproof panel for the
experience, adding a
and seating for visitors.
inviting impression.
to craft a cohesive folding
rooftop of the auditorium.
layer of intrigue and
Transform
07
Step 2: Extracting Profile 4
Atrium + Plan
Sky Opening
3D representation
Challenge and disrupt the
3D representation
surface.
Building Corner
Stairs
Entrance
Elevation
interest.
Auditorium
Atrium 5
Plan 1 Level 1 7
7
12
4 16
4 13 8
8
8
11
7
14
4
6
9 11
1 7 10
1
2
5
9
3
13
4
15
5
1 2 3 4 5 6 7
Lobby Security Ticket Office Office Locker Souvenir Shop Storage
8 9 10 11 12 13 14 15 16
Exhibition Hall Reception Auditorium Reserve Showroom Vip Room Loading Zone Cafeteria Sunken Square Improvisation
15
20m
N
10
Plan 2
16
4
3
Level 4
11
4
9
5 6
12
1
1 2 3 4 5 6 7
Exhibition Hall Reserve Showroom Loading Zone Storage Demo Zone Balcony Office
8 9 10 11 12 13 14 15 16
Multi-Media Room Reading Room Viewing Deck Vip Room Classroom Meeting Room Staff Room Outdoor Pavillion Rest Area
8 2 7 10
14
2 15 4
5
13
20m
N
10
6
4
7
Section
Detail Chunk Model
In this section, I am delving into the interplay between contrasting concepts: normal and abnormal, form and function. Moving outward from the atrium, the space undergoes a gradual transformation, leaning towards a more conventional aesthetic with a reduction in formal elements.
Figure & Ground
Hefei Art Museum
Anhui Provinvial Museum
Geological museum
Site Condition Nestled within a cultural park, the art gallery shares its space with two prominent structures: the Anhui Provincial Museum and the geological museum, both facing the art museum. The Provincial Museum, with its conventional design, has established a definitive standard and a substantial ambiance that permeates the entire park. Within this context, the challenge extends beyond mere alignment with the site's overarching aesthetic; it involves pushing the boundaries of conventional form and structure. 8
9
02
PLASTIC FANTASY Southworks: From Waste to Architecture Core Studio | Group | Ithaca, NY | Sp 2023 | Instructor: Felix Heisel & Margaret Kirk Team Member: Xue Bai Based on Ithaca Green New Deal, the
products as its own building materials.
project is a response to the current
The layout mimics the historical
single-stream waste collection system
construction process of the existing
in Ithaca. The site is regarded as the
site, inspired by utilizing sequential
turning point at the transfer station
modules for the movement from waste
level, which convert the existing
processing to public engagement. The
wastes into new resources and elevate
project adaptively reuses the existing
it into new products. Hence, the
steel structure system as the
workforce development concentrates
immortal part of the building. Through
on material design and product design
adding ephemeral characteristics, such
from wasting resources. Finally, the
as remade plastic tiles and varied
whole building takes advantage of
massing operation with structure,
the workforce by showcasing their
thebuilding demonstrates
Plastic Melting Test Southworks: From Waste to Architecture
10
11
PET/HDPE
Paper/Cardboard
Glass
Wood/Brick
Composited Metal Panel
HDPE
Paper Waste
Cathode Ray Tube Glass
Brick Waste
Stablized Aluminium Foam
Polythene
Paper Waste
Electronics Glass Waste
Brick Waste
Composite Metal Profile
PET Bottles
Label Printer Waste
Glass Waste
Wood Waste
Opaque
Metal
Discarded Cardboard
Translucent
Discarded Jeans & Denim Fabric
Discarded Paper
Discarded Plastic + Asphalt
Discarded Plastic + Aluminum
Transparent
Discarded HDPE Cap
Ithaca City with Plastic Facade
Ithaca
Workforce
Site
Original Resource
Techniques
New Produces
Basic Design Logic
Reference: Bahamon, A., & Sanjinés, M. C. (2010). Rematerial: From waste to architecture. WW Norton. Hebel, D. E., Wisniewska, M. H., & Heisel, F. Building from Waste: Recovered Materials in Architecture and Construction, 2014. Southworks: From Waste to Architecture
Brenda (Xue) Bai & Jun Hu 12
|
Southworks: From Waste to Architecture
ARCH 5114 Core Integrative Design Practices
|
SouthWorks Capacity Building
|
Spring 2023
|
Instructors: Felix Heisel* & Margaret Kirk
|
3 13
Process Diagram
Study Models These two diagrams respectively illustrate the entire processing journey of plastic, from its recycling to the final formation as a product entering the market and the second diagram detail the specific machines and methods used for processing the plastic and how each step is managed. 14
15
The former site of the building used to be a factory producing aircraft and automobile bearings, but it has been abandoned due to changing times. Through our on-site investigation, we found that certain portions of the original factory space, both in terms of size and structure, still meet our requirements for a plastic recycling plant. Consequently, we decided not to entirely demolish the existing structure but rather preserve some components and proceed with renovations and extensions. For instance, we altered the dimensions of certain structural elements, replaced large sections of sealed concrete exterior walls with glass and semi-transparent materials to enhance transparency, and relocated some building blocks to free up space on the lower levels, among other modification 16
17
Ground Floor Plan (+6') 1. Waste Sorting 2. Shredding 3. Design Center
18
1/16" = 1'-0"
4. Auditorium 5. Public Lobby 6. Exhibition Center
19
Floor Plan L1 (+17')
1/16" = 1'-0"
1. Exhibition Center 2. Testing Room 3. Design Center 4. Manufacture
20
21
Section A-A'
Section B-B'
22
1/16" = 1'-0"
1/16" = 1'-0"
23
24
Elevation 1
1/16" = 1'-0"
Elevation 2
1/16" = 1'-0"
25
Roof Section Detail
26
Wall Section Detail
Base Section Detail
1 EXTERIOR REMADE PLASTIC TILE
11 STEEL I-BEAM
23 WOOD BLOCKING
2 WOOD SUBSTRUCTURE
12 METAL STUDS
24 WATER CONTROL MEMBRANE
3 RIGID INSULATION
13 SHADE
25 METAL COPE
4 SHEATHING
14 INTERIOR CONCRETE FINISHING
26 WOOD CANT
5 INTERIOR REMADE PLASTIC TILE
15 CONCRETE SLAB
27 BUILT-UP ROOFING
6 Z-CLIPS
16 VAPOR BARRIER
28 1/2’’ SUBSTRATE
7 GYPSUM BOARD
17 RIGID INSULATION
29 RIGID INSULATION
8 MINERAL WOOL INSULATION
18 GRAVEL
30 VAPOUR CONTROL MEMBRANE
8 SEALANT
19 RIGID INSULATION
31 SHEATHING
9 STACKING SILL
21 GALVANIZED GRATING
32 CONCRETE FLOOR SLAB
10 INSULATING GLASS
22 CONTINUOUS CLEAT
33 CORRUGATED METAL DECK31
27
Exhibition Hall Chunk Model Rendering
28
29
Render 30
Render 31
Model Picture
32
33
03
CYBERNETIC FUTURE OF AMAZON
nt
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Control and Monetization of Data De Esliv Tot Aer : rryi 31 ivng 2 al: S : Pe Wa 4:t sh 09Fo in Pod gt M on
Core Studio | Group | Seattle, WA | Sp 2022 | Prof: Farzin Lotfi-Jam, Christopher A. Battaglia Team Members: Jialiang Huang & Shujie Liu The issue of data privacy is currently
a museum to expose the concealed
a pressing concern, particularly
processes of data surveillance to
as data surveillance mechanisms
the public. This megastructure is
remain opaque. The uncertainty
crafted based on Amazon's vision,
surrounding these technological black
incorporating inputs such as patents
boxes prompts us to seek ways to
and announcements. These inputs
understand their workings, leading
are translated into program spaces
us to investigate the relationship
and arranged in a viewing sequence
between Amazon Go and data
designed for users. The sequence
surveillance. Amazon Go presents an
is then transformed into a serially
opportunity for the tech giant to
connected space syntax, involving
engage in surveillance capitalism,
ascents, descents, jump cuts, and
where personal privacy is compromised
loops. The overall navigational
and reshaped by algorithm-driven
experience within the space is
capitalism.
theatrical, showcasing how Amazon
Our design involves a public
patents could function and the
architectural space within an Amazon-
facility's operations.
owned megastructure, functioning as
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Data Collection Loop in Amazon Go Control and Monetization of Data The megastructure extends beyond the physical building, reaching across the city and even the nation. In our envisioned future, illustrated in the axonometric drawing of Seattle, Amazon's forthcoming patents shape the citizens' way of life. In this scenario, every aspect is assessed: Amazon quantifies human behavior, emotions, and even social relationships. 34
35
2022, March 03
12:15 PM
12:16 PM
12:16 PM
12:18 PM
12:19 PM
12:23 PM
12:28 PM
12:30PM
9:42 AM
3G Tuesday
9
SMS
Text
Calendar
Photos
Camera
Stocks
Maps
Weather
No
Settings
73º You Tube 11
12
1 2
10
3
9 8
4 7
6
Clo
5
+
-
x
=
alculator
Store
N NO
NE
O
E SO
SE
S
First Name: Jerry Last Name: Hu Date of Birth: 1986, Nov. 11 Gender: Male Martial Status: Single
9:40
Amazon Go You
Jerry’s shopping list today: gluten free sandwich sparkling water
DD/MM/YY 00:00 Modify System Current
Safari
Phone: 6072xx92xx Email:JerryHu****@gmail.com Address: 312 S Washington St Apt 110, Seattle, 98106 Credit Card Bank: Amex
$15.00 $06.00
This trip’s shopping time: 15m27s.
Last Time Shopping: Yesterday Avg Shopping Time: 17m25s Preference: Vegan
looking at rack taking merchandise examining item walking away
1
2
3
4
5
6
7
8
scan with QR code to enter the store
looking at the premade food shopping rack
pick up a vegan $15 sandwich, gluten free
looking at the alcohol section, no interest
turn around to look for healthy drinks
pick up a $6 Italian sparkling water
walk out the store and scan QR code again
notification: your trip was 15m27s.
Entire Sequenceof Amazon Go Shopping 36
Upon selecting an item from the rack, weight detectors and cameras capture biometric data from the individual, transmitting it to a data center for processing. As Jerry leaves the Amazon Go store, concluding his visit, the receipt obtained from the app marks the instance when his information is stored and analyzed by Amazon's deep learning algorithm. 37
Biometric
Behavioral
Biographic
for (List<Jerry’s trip in AmazonGo>) { //Jerry stands in front of sparkling water for 42s //Jerry selects strawberry-flavored water //Jerry looks happy //Jerry can afford $6.00 sparkling water //Jerry is accompanied by his partner Tom facial recognition
}
obj.print(list); income time stayed
occupation voice recognition
selection age/birthday
fingerprint & palmprint
expression
marital status
infrared temperature sensing
gender and sexual orientation consumption ability
First Name: Jerry Last Name: Hu Date of Birth: 1986, Nov. 11 Gender: Male Martial Status: Single motion recognition alone/accompanied
address
Phone: 6072xx92xx Email:JerryHu****@gmail.com Address: 312 S Washington St Apt 110, Seattle, 98106 Credit Card Bank: Amex Last Time Shopping: Yesterday Avg Shopping Time: 17m25s Preference: Vegan
Real-time Data
Data Collection in Different Form 38
contact information
Empirical Data
Our case study focuses on the inaugural Amazon Go store, which commenced operations on February 25, 2020, in Seattle, situated in close proximity to the Amazon headquarters and the sphere. We have undertaken an examination of the data surveillance process using aggregated information from Amazon Go purchasing experiences. These findings were condensed and then reinterpreted through a fictional persona to articulate the narrative. 39
DATA TRANSMISSION
DATA ANALYSIS
DATA OUTPUT AND USAGE
BIOMETRIC ANALYSIS iris
ON-SITE COLLECTED DATA shoping time
15m27s
choice
vegan and sparkling water
expression
quick and determined
money spend
$21.00
alone or accompanied
alone when entered, later with another man
facial comparison
Data Center
1122 3rd Avenue, Seattle
an aisle usually generates measure 80 and 115 degrees Fahrenheit when running
digitalize
server rack level data storage data analyzing
generate keywords ridges
Biometric Data
devices capture
ridge ending
ridges
pore
bifurcation
ridges
IMPROVE ON AMAZON GO SERVICE
890
data base comparison
enclosure
singular points
1200
1190
minutiae points
1
1450
1500
900
0226 0227 0228 0301
0302 0303
Based on Jerry (id:amz341249) and 153 other reference object on March 03, the next supply would increase 10% of vegan-related product and 5% sparkling water product. temperature sensoring
RAW DATA
2 amazon alexa Alexa would now taking this shopping history as data reference on furture conversation about health-related topic and more sugguestion on diet schedule.
Behavioral Data server #1
23mb of 50TB motion capture
BEHAVIORAL SURPLUS AMAZON USAGE OF THE DATA
chilling water and power generator level
PROFILE ANALYSIS
cool down heat produced
top 20% earned in the field server #2
32mb of 50TB
worked in startup firm for 3 years graduated from University of Michigan in 2002
20% more tech-related product 10% more health-related product THIRD-PARTY USAGE OF THE DATA
turns “single” 3 months ago on facebook status
Biographic Data server #3
uninterpreted power supply level self-sufficent power supply
12mb of 50TB
likes urban-style and techwear based on FARFETCH history 70% chance gay based on video captured and web history
65-megawatt power demand. Such a mammoth amount of energy comes with a mammoth price tag—about $40 million a year.
30% more frequent emails about menswear that focus on urban-style clothing
above-average neighborhood median $2190 rent per month
server #4
10mb of 50TB
recieved 53 msg and 22 email last week
50% more frequent feeds on gay-oriented dating apps
Data Processing in Daa Center 40
41
Amazon Go Patents We examine each patent to understand its characteristics, technologies, and how it interacts with people, determining its uses. We then group them into suitable program spaces and identify the necessary facilities. The patents are transformed into different types of spaces, which are combined into a larger structure.
1. Resistor 2.
4.
3. Loadcells
6.
5.
Finger Print Scanner
Card Reader
Hard Drive
Mini Camera
ch
8
6
in
in
ch
9.
8.
7. Motion & Infrared Camera
CCTV
10. Hard Drive Rack
RFID Reader
Network Map of Amazon Go Infrastructure Those infrastructures include: Store (H&E) Drone Center (I) Headquarter (A) Harbour (C&D) Data Center (B) Factory (F) Distribution Center (J) Train Station (K) Underground Tunnel & Viaduct 42
MegaStructure
11.
14.
13.
12. Light Curtain
Customers
Servers E-Gate
Taxonomy of Electronic Device in Amazon Go 43
Plan of Amazon Megastructure 44
45
Section of Amazon Megastructure 46
These sets of spaces are arranged in a specific order for users to navigate. Users start from the warehouse, move through Amazon Go and the farm, then proceed to Amazon Books and offices, concluding at the data center. The sequence is translated into a connected spatial arrangement where users can ascend, descend, experience jump cuts, and loop back. 47
Spatial Sequence 48
49
Underground Logisitc Render 50
51
amazon go
warehouse
Logisitc Render About 300 full-time employees were
terminated due to inefficiency, while the operations center had about 2,500 employees, and layoffs exceeded 10 percent of the workforce. Amazon’s automated systems track the productivity of each employee and can automatically issue quality- or productivity-related warnings or job terminations without the need for a supervisor’s input.
The streaming service is responsible for streaming the video from the camera running in the store to where it needs to be in the cloud. For the algorithm to work, it needs to reliably capture video images for "real moments" as customers pick or place items back. The algorithms that process the video run in Amazon Cloud Technologies' cloud.
Felix Page Work Time: 2421hrs Contribution Pts: 876710 Performance: 92%
Yi Xu, 30 yrs old Architect in Seattle Amazon Prime User, Dating App User Emotion: Anxious
John Dickson Work Time: 1240hrs Contribution Pts: 192320 Performance: 78%
Ken Shio, 24 yrs old Looking for Chips, likes movie Emotion: Super Happy
Leo Spike Work Time: 910hrs Contribution Pts: 72320 Performance: 53%
Warehouse
Amazon Go
About 300 full-time employees were terminated due to inefficiency, while the operations center had about 2,500 employees, and layoffs exceeded 10 percent of the workforce. Amazon’s automated systems track the productivity of each employee and can automatically issue quality- or productivity-related warnings or job terminations without the need for a supervisor’s input.
The streaming service is responsible for streaming the video from the camera running in the store to where it needs to be in the cloud. For the algorithm to work, it needs to reliably capture video images for "real moments" as customers pick or place items back. The algorithms that process the video run in Amazon Cloud Technologies' cloud
office
data center
Amazon has programs that screen job candidates, and their purpose is simple: as efficient and automated as picking a product. In terms of form, the AI recruitment program developed by Amazon is also the same as the product rating in the mall. From one star to five stars, each applicant is graded, and then handed over to the human HR for final screening "by evaluation ranking".
We use your personal information to provide and deliver the Offerings and process transactions related to the Li Wong, 33 yrs old Offerings, including registrations, Software Engineer subscriptions, purchases, and payments. We Credit: 321897 Working hrs: 8.35hrs/dayuse your personal information to recommend the Offerings that might be of interest to Grade: 96% you, identify your preferences, and personalize your experience with the Offerings.
Sam Jackson, 30 yrs old Program Manager Credit: 531235 Working hrs: 6.17hrs/day Grade: 73%
52
Chloe Lee, 22 yrs old Student in LA Amazon Prime User, Prefer vegen Emotion: happy
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Peter Allen, 37 yrs old Software Engineer Credit: 192045 Working hrs: 7.52hrs/day Grade: 87%
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Office
Data Center
Amazon has programs that screen job candidates, and their purpose is simple: as efficient and automated as picking a product. In terms of form, the AI recruitment program developed by Amazon is also the same as the product rating in the mall. From one star to five stars, each applicant is graded, and then handed over to the human HR for final screening "by evaluation ranking".
We use your personal information to provide and deliver the Offerings and process transactions related to the Offerings, including registrations, subscriptions, purchases, and payments. We use your personal information to recommend the Offerings that might be of interest to you, identify your preferences, and personalize your experience with the Offerings. 53
04
COMMUNITY NEXUS Renovation for Connection Option Studio | Group | New York, NY | Fall 2023 | Instructor: Dana Getman & Steven D. Garcia Team Member: Yuhan Li & Andrew Truong Our design aims to offer the
site, altogether creating an inviting
residents the freedom to choose and
space for the broader community to
actively fosters interactions with
participate and integrate into the
neighboring residents, reconnections
site.
with the public, and the overall well-
The two buildings create approximately
being within the Lower East Side
an additional 100 new residential
community. Thus, to fulfill this
units, as well as amenities, such as
objective, we reconfigure and merge
café, restaurants, markets, offices,
the existing communal areas into
public and private gym, pool, and
the building by inserting exterior
theater. At the ground floor, the
parasitic circulations. In addition,
public can enter and interact with
those extended exterior circulation
the site through openings in-between
spaces grow into two new buildings on
buildings and the garden.
Concept Sketch Community Nexus
Step 1 - Domain We've introduced the concept of "Domains" representing common spaces at different scales, encompassing individual and family, neighbor and residence, and visitor and the public. These domains serve as platforms designed to facilitate commerce, enhance communication, and promote environmental well-being.
54
55
Platform Taxonomy
Step 2 - Platform Through the creation of interconnected spaces—modified and extended— including circulation systems, green scaffoldings, activity spaces, and stores, our design aims to offer diverse choices for the five objectives while fostering interactions, reconnections, and overall well-being.
56
57
Domain & Platform Baseline Diagram
Type 2: Quick Access Type 1: Corridor
Type 2: Stairs
-
-
Width: 6ft - 8 ft Length: 2ft - 30 ft
-
Width: 4ft
Type 2: Roaming + Activity
Width: 4ft - 5ft Range: 3 - 6 Floor Length: 20 -22 ft
-
Width: 4ft
4th Floor
Dimension & Occupancy
Dimension & Occupancy
3rd Floor
1/2 ft
2nd Floor 4 ft
1 ft
6 - 8 ft
20 ft
Location
Location
- Interior Space - Between two Units
75 ft
- Attached to Facade - In One Cluster - Between two Clusters
Frequency
Frequency
- 20 -25% Floor Area
- 2 Quick Access Ciculations per Clusters - 2 Long Circulations per Clusters
Type 1: On-Site Bridge
Type 1: Off-Site Bridge
Type 1: Unit Scale Module
Type 2: Floor Scale Module
-
-
-
-
Width: 6.5ft - 10 ft Height: Railing Height: 3.5 ft
-
Dimension & Occupancy
3.5 ft
Dimension: 6.5ft * 13 ft Size: 1-2 people Occupancy: Shared Garden
Dimension: 13ft - 26 ft Size: 5-8 people Occupancy: Meeting Room/Gathering Sapce/Store
Dimension & Occupancy
3.5 ft
6.5 -10 ft
Location
Width: 11.5ft - 15 ft Height: At least 15 ft above ground level Railing Height: 3.5 ft
11.5 -15 ft
- Between Essex Market & Site
13 ft
Location
- Between Old Residential & Relocated New Building Frequency
6.5 ft
26 ft
13 ft
- Replecing Units - Attached to Facade
Frequency
- 3 Off-Site Bridge
- 2-3 Unit Scale Modules per Level
- 6-8 On-Site Bridge
- 1-2 Floor Scale Modules per Level
Step 3 - Baseline Building upon the taxonomy diagram, we have established more precise and detailed baselines for various domains and platforms under different conditions. These baselines encompass key aspects such as location, dimension, frequency, and occupancy, providing a more specific and accurate framework. 58
59
Domain & Platform Baseline Diagram
Type 1: Short Extended Corridor -
Width: 6ft - 20 ft Length: 30% - 50% Coverage Occupancy: Circulation
Type 2: Long Extended Corridor -
Width: 6ft - 20 ft Length: 40% - 80% Coverage Occupancy: Relaxing/Viewing
Dimension & Occupancy
Type : Scaffolding (Small Module)
Type : Scaffolding (Large Module)
-
-
Bay Length: 10 ft Bay Width: 3.5 ft Lift Height: 12 ft Frame Member: 0.5 ft * 0.5 ft * 12 ft Occupancy: Vertical Farm Capacity: 5 - 10 people
Bay Length: 12 ft Bay Width: 5 ft Lift Height: 12 ft Frame Member: 0.75 ft * 0.75 ft * 14 ft Occupancy: Activity Platform Capacity: 10 - 20 people
Dimension & Occupancy 6 ft
12 ft
3.5
10 ft
5 ft 20 ft
Location
12 ft
10 ft
Location
- Facade
- Attached to Facade 10 ft
- In One Cluster
Frequency
Frequency
- Each Floor
- 1 for Each Cluster
Type : Atrium Space -
Type : Commercial/Community
Width: 27 ft Length: 31 ft Height: 2 - 3 Floor Height Occupancy: Amenity/Meeting/Gym/Events Above Ground Level
Dimension & Occupancy
Size: 500 sqf - 2000 sqf Capacity: 10 - 20 people Occupancy: Cafe/Community Center/Restaurant/Bar
Dimension & Occupancy
31 ft
Location
-
500 sqf
27 ft
- Replacing Units (Double/Triple Space)
1200 sqf 2000 sqf
Location
- In the Site - Ground Cluster
Frequency
Frequency
- 1 for Each Cluster
60
- 4 - 5 Programs Total
61
Building Sequency & Logic Diagram
Attached Platform
Platform Profile
Access & Gathering
Sequence 1. Divide the original building into 4 Clusters, each cluster contains 6 levels 2. Relocate 30% of units of the old building to adapt future changes 3. Renovate each cluster with attached domains & platforms 4. Builds new building to accomodate old and new residents
Phase 1 Facade Renovation Diagram
62
Shared Programs
63
Renovated Cluster Render
Meeting Parasite
Shop Front & Green
Exterior Circulation
Shared Laundry Room
Atrium
Bar & Restaurant
Viewing Platform
Green Space
Exterior Platform
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Gym & Library
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Plans (Old Building)
Parti Diagram for New Building
Phase 2 The upcoming building is designed to house approximately 100 households, providing a residence for around 250 individuals. The integral principles of "domain" and "platform" will persist in shaping the architectural design of this new structure. Unlike the current building, where domains and platforms function as external attachments connected to the outer walls, in the new building, they undergo a transformation, serving as a guiding logic for the organization and distribution of internal spaces. This evolution reflects a thoughtful approach to optimizing the layout and functionality of the living spaces within Step 1: Massing
Step 2: Carving
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the new building.
Step 3: Creating Parasites & Domains
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Plan 1 68
Ground Level (+4')
Scale: 1/16" = 1'-0"
1. Reception 2. Office 1 3. Bike Rack & Bus Stop 4. Storage 5. Market 6. Lobby
7. Cafe 8. Gym 9. Locker Room 10. Pool 11. Restroom 12. Theater
Ground Level (+76`') 13. Lounge 14. Loading Area 15. Rehearsal 16. Makeup Room 17. Refuse Room 18. Mechanical 19. Meeting Room
Plan 2
1. Studio 2. One - Bedroom Unit 3. Two - Bedroom Unit 4. Three - Bedroom Unit 5. Duplex 6. Library 7. Shared Domain
Scale: 1/16" = 1'-0" 8. Terrace
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Section Perspective 70
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Axonometric Render
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West Side Elevation
Soutn Side Elevation 74
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OTHER WORKS Drawings + Models + Research 2021-2023 1) Model Construction - Halle de Tendon By HAHA Atelier D’architecture 2014, Tendon, France Teammates: Jun Hu + Jialiang Huang + Yuxuan Wu 2) Drawing Analysis - Herbert F. Johnson Museum of Art By I.M. Pei 1973, Cornell University, Ithaca, NY 3) Research - Onondaga Territory Changes & Wampum Belt Raw Material Location Lead by Anna Dietzsch 2022 Spring, Studio Project Teammates: Jun Hu + Yi Xu
Structure Detail Halle de Tendon
Axonometric Drawing & Connection Detail 76
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Model Picture
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2) Drawing Analysis
Natural Lighting Analysis of Herbert F. Johnson Museum of Art 82
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3) Onondaga Nation Research
Territory Change Diagram 84
Raw Material Map in NY State 85
Raw Material Map in NY State 86
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Raw Material Map in NY State 88
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Raw Material Map in NY State 90
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