Jun Hu Portfolio

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

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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

Mail

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%

d ne fi de we rl, e , gi th ge ey Zo boy of r a re tom 30% yourock u’ Yo as toc inoth,. r u yo ila phies gme.. a m si ogr Lik,ani m de up. ike o ,b r g ic s mu

d ne fi de we , a, rl he ey gi f t age o r Fr an u % b e ’r ur 60n yoa, u o s i am t Yo a r c r u yo ila phies d... a m si ogr Likhion m de up. fas , o gr eup k ma

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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