Shaoyi Wang
College of Environmental Design University of California, Berkeley shaoyiwang @berkeley.edu Wang-Shaoyi@outlook.com
+1 510-599-7540 +86 158-5510-3052
PORTFOLIO OF SHAO-YI WANG
COMPUTAIONAL DESIGN & INNOVATIVE STRUCTURES
SELECTED WORKS, 2017-2024
BACHELOR OF ARCHITECTURE, TINGHUA UNIVERSITY MASTER OF SCIENCE IN ARCHITECTURE STUDENT, UNIVERSITY OF CALIFORNIA, BERKELEY
Skills: Rhino (Advanced), Grasshopper (Advanced), AutoCAD, Python, C#, Visual Studio, GitHub, Adobe Suite (PS, AI, ID, PR), github, Sketch-up, Enscape, ArcGIS, SPSS
English: TOFEL 111
CONTENTS
EDUCATION INTERNSHIP COMPETITIONS 02 CABLE NET VERTIPORT 03 03 VORONOI SELF-GLOWING LAMP ............................................................ 07 Towards Sustainable Bioluminescence: Parametric Design and 3D Printing Design Based on Form-Finding and Structural Analysis Applying Beding-Active Structure on Large-Scale Architecture 05 MALL FOR EVERY COMMUNITY 14 06 THE LAPPING STRUCTURE ......................................................................... 21 Proposing a Novel 3-Dimensional Rod-Composed Structural System Market-type Building Generation from the Urban Scale to the Human's Behavioral Scale 07 WHITE NOISE APARTMENT ........................................................................ 25 Relieve Lonliness during the COVlD-19 Period GRADUATE WORK 01 DINGZHOU EXPO PARK SILK PAVILION 01 .................................................. UNDERGRADUATE WORK 04 WEAVING OUR CITY! 08 Internship Work at Song Und Partners Atelier INTERNSHIP WORK Master of Science in Architecture Student College of Environmental Design University of California, Berkeley Bachelor of Architecture, GPA: 3.87/4.0, Rank 3/80 - Integrated Excellence Scholarship in 2019, 2020, 2021, and 2022 - Scholarship for Excellence in Literature and Art in 2019, 2020, and 2021 Landscape Architecture, GPA: 3.81, Rank 1/11 (transferred to Architecture in the senior year) Best Architecture Design Award Team Member (design 50%, drawing 40%, and model building 20%) Outstanding Award (2/15) Team Member (design 20%, vegetation 50%, on-site construction 15%) Minor in Psychology, GPA: 4.0/4.0 Master of Science in Architecture, GPA: 4.0/4.0 Tsinghua University, Department of Architecture Tsinghua University, Department of Landscape Architecture Tsinghua University, Department of Psychology Song Und Partners Atelier Design Intern The 25th Structural Design Competition of Tsinghua University The 1st Beijing Forestry University International Garden-making Festival China Architecture Design and Research Group Design Intern University of California, Berkeley, College of Environmental Design 2019/07-2023/06 2017/09-2019/06 2020/09-2023/06
(Estimate)
SHAOYI WANG
2022/05-2022/07 2019/10-2019/12 2018/04-2019/09 2021/07-2021/08 2023/08-2025/05
DINGZHOU EXPO PARK SILK PAVILION
Internship Work at Song Und Partners Atelier
Project Location: Dingzhou, Hebei, China
Project Architect: Yehao Song, Xiaojuan Chen
Time of Participation: May-July, 2022
Contribution: I joined the project team when this project first started. I was responsible for the entire parametric design and modeling and 50% of the drawings for the Scheme Design Stage report.
This Silk Pavilion is part of the Dingzhou Expo Park project in Hebei province, China.
The client for this project requested a pavilion design that resembles "a ribbon fluttering in the breeze," and they asked for a draft within two weeks. Every staff member in the studio involved in this project designed their own proposal, and ultimately my design was selected.
I used Grasshopper to efficiently create a parametric model, which enabled us to adjust the design by a few key components. I also joined the facade construction design of this project during my internship. This pavilion is currently under construction and will be finished by August, 2024.
01
1
Grasshopper of building & facade design (Finished independently)
I used Grasshopper to model the form, façade, and essential structural components of the pavilion, allowing for quick modifications and iterations of the design by adjusting just a few key elements.
This parametric model not only enhanced the efficiency of architectural design but also facilitated the subsequent construction and structural design.
Currently: Under Construction
The drawings of this project were finished by both my colleagues and me. I worked on the plan and section, as well as part of the facade construction design. Currently, the pavilion is under construction, and the heavy construction part has finished. The photos on the right were shared by my colleagues.
Bridge Formation Inputs Handrails Bridge Facade (Inner) Handrails Bridge Facade (Outer) Building Facade Columns Bridge Facade Twist Facade Panels Ribs Panel Transformation Final Model 89X6圆钢管 50X4圆钢管 -6连接件 M6不锈钢螺栓 ST4.8不锈钢自攻自钻钉 不锈钢丝网,表面氟碳喷涂 89X6圆钢管 50X4圆钢管 -6连接件 不锈钢丝网,表面氟碳喷涂 50X30X4热浸镀锌钢管 铝合金连接件 M6不锈钢螺栓 ST4.8不锈钢自攻自钻钉 不锈钢丝网
1-1剖面图 1:100 1-1剖面图 1:100 北立面图 1:100 南立面图 1:100
South Elevation North Elevation Section F2 Plan
of Facade 1 Round steel tube (D = 89 mm, T = 6mm) 2 Stainless steel mesh with fluorocarbon coating 3 Stainless steel self-tapping & -drilling screws 4 -6 Connectors 5 Round steel tube (D = 50 mm, T = 4mm) 6 M6 stainless steel bolts 1 2 3 4 5 6 二层平面图 连桥大样图 2
Details
CABLE NET VERTIPORT
Design Based on Form-Finding and Structural Analysis
This project is a vertiport for drones located at Pier 52 east of San Fransisco, 10 miles north of San Fransisco International Airport (SFO). We designed based on the following requirements of the vertiport: (1) the three-dimensional space needed for takeoff and landing, (2) the requirements for drones to stay and maintain, and (3) the flow of passenger movement. A steel truss combining the cable net structure was developed to fit into the site conditions.
When designing the structure, we started with generating the truss and optimized the structure based on the bending-moment diagram. Then, we generated the cable net structure by form-finding the shape in Kangaroo and analyzed the whole structural system in Karamba 3D. Finally, we used a model to test our design results.
Keywords: Cable Net Structure; Steel Truss; Structure Analysis; Vertiport
Truss Geometry
Truss Analysis
WHOLE SYSTEM DESIGN
Cable Net Geometry
Whole System Analysis
Academic Work, ARCH 252 Form and Structure Project
Instructor: Prof. Simon Schleicher
Site: San Fransisco, CA, US
Form-Finding Optimization
Group Work; Group Member: Fredric Lam, Yuan Xu, Moritz
Contribution: Structure Design (50%), Structure Analysis (100%)
Tools: Rhino, Grasshopper (Kangaroo Physics, Karamba 3D) TRUSS DESIGN
02
3
A vertiport is a designated area, typically equipped with facilities, for vertical takeoff and landing (VTOL) aircraft, such as drones and flying taxis, to operate. This project is a vertiport for drones located at Pier 52 east of San Fransisco, 10 miles north of San Fransisco International Airport (SFO).
SITE DESIGN APPROACH
Rodes Labeling
STRUCTURE: TRUSS DESIGN
GEOMETRICAL DESIGN
The inital truss is generated from a catenary curve in grasshopper.
Vertiport
PublicSide
PrivateSide
VERTIPORT DESIGN
The architectural design adheres to the design requirements of the vertiport and utilizes the runway to distinguish between the public side serving passengers and the private side for charging. We hope that passengers can walk to the rooftop to enjoy the distant sea view, which also became the starting point for us to later optimize the truss.
KARAMBA APPROACH
The structural analysis for the truss is setup as follows in Karamba 3D:
Elements & Cross Section
Truss
Top Truss Gravity Bottom Truss
One-Side
TRUSS ANALYSIS & OPTIMIZATION
We applied two steps of optimization for the truss, aiming to enhance the capability of the structure while not increasing the total weight of material used in the truss.
1. Truss Height Optimization
The height of the truss's section is optimized according to the bending moment diagram.
Distance: Multiply the distance between the catenary curve and bending moment curve by a factor
Max
2.
Hinges are added at points where bending moment is zero, and several members are reduced to save the amount of material used in the structure.
Adding Hinges Optimization Results
Displacement Mass
Load Case:
Live
Result Load Case: Gravity
One-Side
Load
Live Load Bracing Dead Load D = 40 cm, T = 5 cm O-Section Steel S235 D = 40 cm, T = 5 cm D = 20 cm, T = 5 cm Bending Moment Diagram (loading on one side) People Walk Up Uniform Truss Optimized Truss Modify truss height of the loaded half Before Optimization 1.00 cm 5.80 cm 391,866 kg After Truss Section Optimization 1.00 cm 5.41 cm 396,332 kg After Adding Hinge 0.99 cm 5.47 cm 391,953 kg
Truss Height: 4.45 m Truss Height: 3.75 m Catenary Curve Steel Truss Wood Shingles Walkable Truss 100 m Walkable Truss 1 1 Passenger Side 2 Maintenance Side 2 Cable Net Structure Vertiport Landing and Parking Pier and Office Location: Pier 54, San Fransisco 37.770357, -122.385500 San Fransisco International Airport Drone Charging Area Passenger Waiting Area Passenger Broading Area Drone Repairing Area Arrival Departure 45ft 45ft 100ft 70ft 15ft Triangles along Curve Top & Bottom Elements Bracing DESIGN APPROACH & TRUSS DESIGN WHOLE SYSTEM DESIGN MODEL 4
STRUCTURE: WHOLE SYSTEM DESIGN
GEOMETRICAL DESIGN
Cable Net -- From-Finding in Kangaroo Physics
The geometry of the cable net is form-found in Kangaroo Physics based on the following conditions:
KARAMBA ANALYSIS
Displacement
KARAMBA APPROACH
Model Setup: Elements, Supports, & Hinge
All elements in the structure are setup for analysis in one model:
Load Cases
Utilization & Axial Stress
OPTIMIZATION
We optimized the bracing elements of the truss to reduce displacement and utilization. All elements are set to the same size to simplify the construction process.
Optimizing truss bracing elements
Result: Use D = 13.75 cm (thickness = 2.75
Displacement
+ + +
Form-Finding Result 46m Allowable Displacement of Cable Net: Δ ≤ L / 50 = 92 cm Largest Displacement in model: Δ = 43.3 cm < 92 cm, OK 0 0 43.3 cm 79.5% Utilization Displacement 87.7% Largest Compression Utilization Largest Tension Utilization (D = 4cm) Enhanced Cables (D = 6cm)
cm) Utilization Before Before After After Seting and Subdividing Mesh Truss Cable Top Truss Boundary Bottom Truss Vertical Horizontal Enhanced Bracing Field Pulling Mesh Points to Truss D = 40 cm, T = 5 cm D = 40 cm, T = 5 cm D = 20 cm, T = 5 cm D = 12 cm Using "Modify Element" Component to Prestress D: Diameter T: Thickness Steel S235 Tx Ty Tz Tx Ty Tz D = 4 cm D = 3 cm D = 6 cm Anchor Points Enhancing Boundary Truss Hinge Supports Material 0 - Initial Load (Prestress the Cable Net) 1 - Gravity 2 - Lateral Load: X Axis 3 - Lateral Load: Y Axis DESIGN APPROACH & TRUSS DESIGN WHOLE SYSTEM DESIGN MODEL 5
A large-scale model (1:150) was made to show and test the characteristics of the structure design.This not only highlighted potential areas for optimization but also facilitated a deeper comprehension of the structural behavior. Through this integrated process of physical and simulated testing, the project's feasibility was proved, ensuring a robust and effective design outcome.
Weakest Point: Support
DESIGN APPROACH & TRUSS DESIGN WHOLE SYSTEM DESIGN MODEL 6
Formwork for the cables Building the cables on the formwork Building the truss on a 3D-printed mould Assembling all elements
VORONOI SELF-GLOWING LAMP
Towards Sustainable Bioluminescence: Parametric Design and 3D Printing
Using bioluminescence as an alternative lighting source has garnered considerable interest due to its sustainability and unique aesthetic appeal. In this project, a sustainable bioluminescence lamp was conceptualized and developed using 3D printing technology via the Stereolithography (SLA) method. A Voronoi shape was used, strategically shaping the lamp's structure to enable maximum contact with the environment. The lamp can be charged under sunlight during the day and glow in darkness during the night.
Due to cost issues, in actual assembly, we have replaced biomaterial with self-glowing powder.
03
Grasshopper Setup 3D Printing Process Technology Photo of Final Printed Product XY Resolution: 25 μm Layer Thickness (Z height): 25 - 300 μm Build Area: 145 × 145 × 185mm (5.7 x 5.7 x 7.2 in) Support & Slice Software: Preform Form 3 SLA Printer Layer thickness: 0.100 mm Machine: Form Wash With isopropyl alcohol (IPA) Machine: Form Cure 15 min & 60 °C Problem: Suction Cup Final Printing & Processing Solution Workflow Model Preparation Printing Washing Post-Cure Form 3 SLA Printer Resin Building Platform Hollow cavities trap resin during the printing process and cause print failures or damage to the build tray. Yellow: Suction Cup Areas Glow-in-Dark Powder Rotating the model before slicing and generating supports Adding holes on the bottom to let the liquid flow out Control Brep Generate Points Voronoi Cells Line Processing SubD Multipipe Refine & Thicken Control Brep from Lines Random Point Cloud Voronoi Cells Removing Outer Cells Organized Polyline SubD Object Refined Mesh Adding Thickness MATSCI 228 Additive Fabrication Processes and Systems for Advanced Materials Instructor: Prof. Xiaoyu Zheng Group Work; Group Member: Sourabh Maheshwary Contribution: Design (50%), 3D Printing (100%) Tools: Rhino, Grasshopper 7
Lienhard J, Alpermann H, Gengnagel C, Knippers J. Active Bending, a Review on Structures where Bending is Used as a Self-Formation Process. The 8th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2016), Hong Kong. Huang, W., Yan, D.,
Schleicher, S., & La Magna, R. (2016). Bending-active plates: form-finding and form-conversion. Peters, J., & Reif, U. (1997). The simplest subdivision scheme for smoothing polyhedra. ACM Transactions on Graphics (TOG), 16(4), 420-431. (Vol. 2017, No. 7, pp. 1-8). International Association for Shell and Spatial Structures (IASS). Proceedings of IASS annual symposia Huang, W., Wu, C., & Huang, J. (2017). A weaving structure for design & construction of organic geometry. In International Journal of Space Structures. 2013;28(3-4):187-196. doi:10.1260/0266-3511.28.3-4.187
Shell structures for architecture: form finding and optimization. Routledge. Adriaenssens, S., Block, P., Veenendaal, D., & Williams, C. (Eds.). (2014).
8(1), 89-95. Curved and Layered Structures, Palmieri, M., Giannetti, I., & Micheletti, A. (2021). Floating-bending tensile-integrity structures.
WEAVING OUR CITY!
Applying Bending-Active Structure on Large-Scale Architecture
Abstract
This study aims to apply weaving structure , a novel lightweight bendingactive structural system, on the architectural scale. The design was based on an integrative approach and combined two techniques within the integrative concept for the structure’s generation: form-conversion and form-finding
An entire workflow containing four main steps is proposed to combine the two techniques: 1) mesh formation, 2) mesh optimization, 3) structure conversion, and 4) rod optimization. A structural simulation was performed before and after each optimization to verify the effectiveness of this workflow. The results of the gravity simulation showed that the structure was significantly strengthened through optimization. Therefore, this study proved the effectiveness of the method combining form-conversion and form-finding in the weaving structure design.
Keywords: Weaving Structure; Integrative Approach; Form-Conversion; FormFinding; Structure Simulation; Large-Span Structure
Site: Haidian, Beijing
Group Work; Group Member: Rufeng Liu
Hu
Contribution: Design 80%, Programming & Modeling 50%
Tools: Rhino, Grasshopper (Kangaroo Physics, WSFinder)
Luo, P., & Li, X. (2016). Digital design and construction of a weaving structure. In References Option Studio
Couse Name:
, Academic Work, Autumn 2021
Architecture, City and Landscape Design Studio Duration: 8 Weeks Instructor: Prof. Weixin Huang; Dr. Jingyuan
04
Gravity
Unit Study Mesh Formation Mesh Optimization Structure Conversion Rod Optimization 8
Approach Techniques Workflow Verification An Integrative Approach Form-Conversion
Simulation Form-Finding
The design aims to renovate the abandoned Wudaokou theater and the hotel to the east. To minimize the impact of reconstruction on the city, the structure of these two buildings and the function of the theater were preserved.
The weaving structure is an entire self-equilibrating bendingactive structural system proposed by Huang et al. (2016), constructed by continuous elastic rods.
Step 1: Mesh Optimization Step 2: Mid-edge Subdivision Step 3: Structural Simulation
DESIGN GOALS
FORMATION FROM UNITS
Since the original structure and function of the theater should be preserved, to minimize the impact of construction, a long-span structure is preferable for this renovation.
1)
Moment
2) Axial Forces
axial forces of the rods to be in tension rather than compreession.
We were inspired by the characteristics of the arch-supported membrane system, a structure with the potential to solve large-span structural problems. We integrated the arch-supported membrane system and weaving structure into a tensile-bending integrated unit, a saddle surface of negative gaussian curvature that is geometrically stable.
Supported Points
01 Site Status
64000mm 24000mm 24000mm 36000mm 48000mm 13000 mm Front Plaza Back Area Centeral Area Membrane: Tension 4 Grounded Points Supported Points Bending-arch: Bending Moment Top View
Stable Combine Weaving Structure Elastic
Grounded
Compression - Instable Tension -
Rods Modify Modify 4
Points
Main Bending Direction Main Tension Direction A Saddle Surface of Negative Gaussian Curvature SITE Residence University Primary School Food Street University Metro Station Mall
Abandoned Theater Old Hotel
Even Triangular Mesh Midpoint
Structure
Subdivision Kagome
Front Plaza Back Area Centeral Area There are three areas with potential for public events: the front plaza, the back area, and the central area between the two buildings. An
with an Old
Unit Study
MESH
INFORMATION
Midpoints
Weaving Structure on the
Scale
Abandoned Theater
Hotel
INITIAL
SITE
A Novel Lightweight Bending-Active Structural System WEAVING STRUCTURE Algorithm of Weaving Structure
Architectural
Prospect 1: Long-Span Structure Prospect 2: Rearranging Space for Public Activities 02 Organizing Forces on Plane 03 Organizing Forces in Space 04 The form is shaped by tensile-bending integrated units and the original structure is modified to the form. 05 The initial mesh is generated accordingly. Uneven Triangular Mesh Circle Packing Kagome Structure (Polylines) Smoothed Rods Bending Simulation
Unit
on the Properties of Tensile-Bending Integrated Units Mesh Formation Grounded Points Grounded Points Grounded Points Tension Direction Tension Direction Tension Direction Tension Direction Supported Points Supported Points Supported Points Bending Direction Bending Direction Bending Direction Bending Direction Force Optimization Strategy 0.5 Curvature/m -1 Reduce
Arch-Supported Membrane System Tensile-Bending Integrated
Based
bending moments of the rods by morphological adjustment.
Bending
Modify
M=κEI
κ: Curvature EI: Bending stiffness 0 BACKGROUND & METHOD UNIT STUDY & MESH FORMATION OPTIMIZATION & EVALUATION MODEL ARCHITECTURAL DESIGN SECTION & JOINTS 9
M: Bending Moment
EVALUATIONS
OPTIMIZATION & CONVERSION
Mesh
Conditions of Optimization
Structure Conversion
Steps of Conversion
Rod Optimization
Conditions of Optimization
Form Iterations Curvature Displacement of Rods (Before and After Optimization)
Here introduces the next three steps. The mesh optimization step optimized the force state of the mesh and enhanced its loading capability. The mesh was then transformed into weaving rods. The rod optimization stage found the prestress equilibrium state of the overall system based on the properties of the elastic members.
Condition 1: Edge Enhanced
Condition 2: Grounded Edge Fixed
Condition 3: Contraction Force (Tension Optimization)
Even Mesh
Condition 4: Upward Force (Bending Arch Optimization)
Step 1: Mesh Edges
Step 2: Midpoints of Edges
Step 3: Kagome Grid
Step 4: Continuous Rods
Condition 1: Grounded Points Hinged
Condition 2: Poles and Cables (Tension)
Condition 3: Reinforcing Edge Bars (d=30cm)
Condition 4: Give Resilience to Inner Bars (d=15mm)
The structure deforms significantly under the effect of gravity.
The deformation is significantly reduced, but the corners are still weak.
The entire weaving structural system is strengthened.
We found that irregular parts (e.g., boundaries, positions of shape changes) produced more displacement after optimization. Therefore, this optimization approach has a good strengthening effect on irregularly shaped weaving structures.
This structural simulation section aims to verify the effectiveness of the form-finding optimization steps. Moreover, this is also an evaluation of the structure's load capacity. The simulation results improved after each step, which verifies the effectiveness of this workflow.
Regular Parts: smaller displacement
Irregular Parts: larger displacement
Displacement/m 0 1.0
Comparing the curvature of the rods before and after the optimization process illustrates the method's effectiveness: the optimization stages reduce the curvature of the rods effectively, which will accordingly reduce their bending moments.
Curvature/m-1 0 0.4
The Initial Mesh Transformed into Weaving Structure
Curvature is not evenly distributed.
The Final Optimal Rods (Finally Adopted)
Curvature is reduced and made even.
The wind loads are simulated using the standard of a 30-year gale in Beijing (0.3kN/m2) from the two main prevailing wind directions northwest and southeast. The deformation variables of both are within the acceptable range.
Northwest Wind
SIMULATION Results Mesh Adjustment Wind Load Simulation OPTIMAL MESH INITIAL RODS OPTIMAL RODS
MODIFIED A More Membrane-like Mesh INITIAL MESH INITIAL MESH
Deformation/m 0 0.8
0.4
Deformation/m 0
Gravity Simulation Mesh Subdivision Circle Packing
to Weavinig Structure Rods
Convert
Southeast Wind
Optimization Form-Conversion Form-Finding Form-Finding
BACKGROUND & METHOD UNIT STUDY & MESH FORMATION OPTIMIZATION & EVALUATION MODEL ARCHITECTURAL DESIGN SECTION & JOINTS 10
MODELING
We further tested the rationality of the structure with a 1:50 model. The modeling process contains two steps: rods labeling and weaving.
Since labels can find all the nodes, the form is created without numerical control construction, which enhances the feasibility of construction under various circumstances.
Rodes Labeling
We applied an algorithm by Prof. Weixin Huang to get labels of all rods and nodes, and the two nodes with the same label were fixed together. Label
Model of 1:50 A Test for Structure Rationality
Supporting Pole Nodes Column formed by weaving sturcture Kagome mesh formed by spring steels
2.0m(ModelSize) 2.5m(ModelSize) Weaving Process
Length =
CM
= 2051
Materials Weaving Rods: Spring Steel Nodes: Cable Tie Poles: Steel Pipe Building: Linden Wood and Craft Paper Rod Examples Sum
18237.6
Nodes Count
Weave the middle of the structure A primary frame Finished! BACKGROUND & METHOD UNIT STUDY & MESH FORMATION OPTIMIZATION & SIMULATION MODEL ARCHITECTURAL DESIGN SECTION & JOINTS 11
srping steels Fasten nodes according to labels Start weaving from edges
The great potential of applying the weaving structures on the architectural scale has been revealed. The design practice found that the tensile-bending integrated units, the saddle surface with negative Gaussian curvature, has high adaptability in spatial organization and structural rationality. Besides, the weaving structure can be combined with other structural components, such as poles and cables, which convert the axial forces of the weaving rods into tension rather than compression and enhance the structural strength.
However, there are also several limitations of this weaving structure study. First, this weaving structural design at the architectural scale is still a hypothesis. To apply it in a actual construction, more complicated issues such as construction joints and envelopes (e.g., membrane) require further consideration. Second, the construction process is also a complex problem for applying weaving structures in real construction; for example, prestressing the rods is challenging in the construction process. For further improvements, a more complete construction system is required.
Pole Hinged Joints Grounded Points Grounded Points Support Points Buttom of Poles Buttom of Weaving Structure Top of Poles Cables and Weaving Rods Nodes of Weaving Structure with Membrane Pulling Points Nodes of Rods Hinged Joints Cable Weaving Rods (Inner) Weaving Rods (Edge) Weaving Rods Hinged Joint Membrane Hinged Joints Cable Pole Hinged Joints Weaving Rods (Inner) Weaving Rods (Edge) Office & Dressing Room Roof Terrace Stage Auditorium Library 1F Hall 2F Hall Plaza
BACKGROUND & METHOD UNIT STUDY & MESH FORMATION OPTIMIZATION & SIMULATION MODEL SECTION & JOINTS ARCHITECTURAL DESIGN 12
In the architectural design, we fully considered the combination of structural weaving structure and original function, and thought about the human activities in it. We preserved the original theater and set up a more complete entrance space and activity space for it. We kept the original hotel structure and transformed it into a commercial space, and shaped this space through the curved surface of the weaving structure.
2 1 3 4 6 7 7 7 7 7 8 8 9 9 5 10 m 10 m Level 4 Plan Layouts Supporting Poles Weaving Bars Membrane Floors
Weaving Stucture
Functional Cells Theather
Original Frame Structure
Original Stucture
Office Retail Theater
Original Long-span Structure
Structure Activity Function Space Organization BACKGROUND & METHOD UNIT STUDY & MESH FORMATION OPTIMIZATION & SIMULATION MODEL ARCHITECTURAL DESIGN SECTION & JOINTS 13
ARCHITECTURAL DESIGN
05
MARKET-TYPE BUILDING GENERATION
MALL FOR EVERY COMMUNITY FROM THE URBAN SCALE TO THE HUMAN'S BEHAVIORAL SCALE
Market-type buildings have always played an essential role in the city, where a scene from everyday life is played out. Due to the variety and scale of market buildings and the fact that different communities often have different needs, the design of market buildings gives architects challenges and opportunities.
This project created a complete workflow with five modules to address the challenges of the design process for market-type buildings, starting from the urban scale, then moving to the building scale and human behavior scale. Depending on the design requirements, the workflow applied multiple methods such as generative design, parametric design, machine learning, and single-objective optimization.
Keywords: Market-Type Building; Generative Design; Parametric Design; Machine Learning; Scale
Individual Work (Self-motivated)
Academic Work, Summer 2022
Duration: 12 Weeks
Consulted Prof. Weixin Huang for Suggestions
Tools: Rhino, Grasshopper (Octopus), Python (Matplotlib, TensorFlow), Depthmap X
References
https://neurohive.io/en/popular-networks/pix2pix-image-to-image-translation/ https://www.danieldavis.com/generative-design-doomed-to-fail/ Design Method Based on Machine Learning Approaches.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4091579. Lu, Yijun, and Miaomiao Hou. 2022. “Multi-Objective Optimization of Building Environmental Performance: An Integrated Parametric Hillier, B. (1996, 2007), Space is the Machine: A Configurational Theory of Architecture. Space Syntax: London, UK. pp.268 Layout,” 14. Villaggi, Lorenzo, and Danil Nagy. n.d. “Generative Design for Architectural Space Planning: The Case of the Autodesk University 2017
Technique
Module Generative Design Parametric Design Machine Learning Single Objective Optimization Verticle Transportation Evaluation F1 Stores Floor Plan Master Plan Condition RESULT City and Site Context Governmental Policies User Requirements Function and Layout Commercial Value
Scale
14
BACKGROUND
METHODOLOGY
Two main threads are running through the project: how to adapt the techniques to different needs and how to apply them at different scales.
Conditions
Conditions of the design are from five aspects and are reflected in different steps.
When designing a Market-Type building
Techniques Modules
Four techniques are used for different design steps to deal with different design problems. Each technique requires different inputs, which are listed as conditions.
There are five modules in the entire process, including four design modules and one evaluation module.
All the design steps are based on the basic components of a markettype building, including the outdoor environment, the indoor space, and the transportation system.
Government Avoid high density of buildings. The Elderly A stable place to talk with friends Merchants Maximize profits! Designer How to Deal with the Challenges? Connectivity Distance to Verticle Transportation Floor Area Distance to Entrance Ratio of Display Length to Area EVALUATION DIMENSIONS RESULT Manual Label Trained Machine Module 3: F1 DISPERSED STORES Module 2: FLOOR PLANS Module 1: MASTER PLAN Module 4: VERTICLE TRANSPORTATION Module 5: EVALUATION Visual Distance Optimization F1 Plan Visual Distance Calculation Optimal Design F1 Plan F1 Stores Layout Other Floors Corridors Entrance MODULE 2: FLOOR PLAN MODULE 1: MASTER PLAN INTRODUCTION MODULE 3: F1 STORES MODULE 4: VERTICLE TRANSPORT EVALUATION MODULE GRIDS & SCALE DESIGN SAMPLES
GENERATIVE DESIGN PARAMETRIC DESIGN MACHINE LEARNING SINGLE
OBJECTIVE OPTIMIZATION
Large Scale Values Space Experience Also want shows and exibitions! The Youth With the progress of society
economic development, market buildings have become rich and diverse,
architects challenges
and
which gives
and opportunities.
FIVE MAIN ASPECTS
Building Octopus
Grasshopper for generative process;
Grasshopper and Python in Grasshopper for parametric control DepthmapX for dataset preparation; Python for Pix2pix Galapagos in Grasshopper for single objective optimization Data Requirements Datasets Design Problem Definition Trained Machine Optimal Design Set Parametric Control Generation Evaluation Evolution Selection Step 1 Pre-GD Basic Input 1 n 3 2 Multiple Outputs Requirements Master Plan Step 2 GENERATIVE DESIGN Step 3 Post-GD Discriminator Discriminator Generator Output Image Input Image Ground Truth Parametric Model Design Variable Search for Optimal Point Is optimal point within the design space? Yes No Structure of Pix2pix Paired Image Preparation the commercial value of each store. The results of evaluation measures City Square Open Space Floor Area Ratio Entrance Ancillary Area Visual Integration Indoor Space Connectivity Store Area Floors Corridor Display Length Scale Structure Transportation Enclosure 50 generations of evolution 10000 buildings Boundary Target Visual Integration Visual Integration Image Typical Plan City Street Path Distance Building Height SITE SELECTION Floor Area Ratio Enclosure Shortest Path Distance GOAL VALUES Outdoor Square Dispersed Stores Stores Ancillary Room Main Entrance Corridors Verticle Transportation City and Site Context Governmental Policies User Requirements Function and Layout Commercial Value 15
Components of a Market-Type
in
Python for visualization
When the design starts from the urban scale and goes down to the spatial scale of the building, the connection between the modules is an issue that must be considered. Grids are used here as the baseline for generating designs within each module. As the design progresses, the grids are continuously subdivided to accommodate the design at different scales. Grids & Scale
Behavioral Scale Grids 4 For Module 5: Evaluation 8m 8m 4m 4m L=6m L=6m For Module 3: F1 Stores For Module 2: Floor Plans Architectural Scale Grids Architectural Scale Grids For Module 1: Master Plan Urban Scale Grids d=2m Store Entrance Closest Path From Grids Main Entrance Modified Curve Path Store Point Entrance Point To Measure Closest Path 1m x 1m Path Length For Architectural Boundary 8m x 8m Ax8m Bx8m For Architectural Layout 4m x 4m Ax4mAx4m Bx4m Lengthmaybe Modified 3 2 1 MODULE 2: FLOOR PLAN MODULE 1: MASTER PLAN INTRODUCTION MODULE 3: F1 STORES MODULE 4: VERTICLE TRANSPORT EVALUATION MODULE GRIDS & SCALE DESIGN SAMPLES Urban Scale Behavioral Scale Architectural Scale 8m x 8m grids 4m x 4m grids Adjusted grids 1m x 1m grids Parametric Design Machine Learning Evaluation Module Generative Design MASTER PLAN FLOOR PLANS F1 DISPERSED STORES PATH MEASUREMENT L: Length of Stores d: Distance between Stores L L L L L L L d d d d d d d 16
EVALUATION & EVOLUTION SELECTION GENERATION ALGORITHM ALGORITHM Workflow of Generative Design [GD] Process: Multi-Objective Optimization 1 Grids on Site There are 200 buildings generated in each generation, which produces 10000 buildings for each sample after 50 generations of evolution. The selection process depends on not only the results of the optimal goal values, but also the formation and the relationship between the building and the city. Plan division: Stores and Spare Area Wall Construction & Display Surfaces Close Ancillary Rooms F1 Remove Inner Walls for Main Entrances Other Floors: Corridor Structure: Pillars Boundary Width of Stores Depth of Stores Since the sizes of the rooms are based on a consistent modular, the pillars are set accordingly. Size of Display Length Corridor Width Corridor End Points Floor to Floor Height Wall Thickness Size of Pillars 2 Select and Set Open Sapce Example Type 1: Regular Square Example Type 2: Street Space Example Type 3: Combined 4 Smooth Boundary 5 Remove Acute Angles 6 Creat Paths 7 Fillet & Floors Goal Value 1: Floor Area Ratio Goal Value 2: Enclosure Goal Value 3: Path Distance 1-17 Generations Results: 50 Generations for each Sample 18-34 Generations 35-50 Generations 3 Initial Building Boundary from the Remaining Grids SITE CONTEXT GOVERNMENT'S REQUEST DESIGN REQUIREMENT Site Status Inputs and Parameters Open Space Type Long Short FAR Bias = Floor Area Ratio - Goal Floor Area Ratio Enc Bias = Enclosure Goal Enclosure Path Distance Step 1 Pre-GD Step 2 GD Step 3 Post-GD Data Constraints and Requirements Set Design Goals Design Goals Generation Parametric Model Evaluation Evolution Optimization Engine Recursive Selection Manual Refinement Step 1 Pre-GD Results in latter generations are closer to design goals, prodividing more optimal choices. Step 2 GD Step 3 Post-GD MASTER PLAN DESIGN REQUIREMENT GOVERNMENT'S REQUEST SITE CONTEXT GENERATIVE DESIGN GOAL input Evaluation Floor Area Ratio Enclosure Path Distance Goal Values Decision Base on Government's Request Base on Requirement Shortest Path Context Selected from the 49th Generation Selected from the 50th Generation Selected from the 48th Generation Selected from the 50th Generation 0.3 Sample 1 Sample 1 Sample 2 Sample 2 Sample 3 Sample 3 Sample 4 Sample 4 Controlled by Parameters Controlled by Parameters Controlled by Parameter Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias Goal FAR Bias Enc Bias SITE SELECTION Gross Floor Area Area of the Plot FAR = Enclosed Boundary Length of Boundardy Enc = ∑Length Num of Paths Path Distance(mean) = Length Location (x,y) Width Fillet Rotation Regular Square Initial Site and Grids From the 9th Generation FAR =2.29 Enc =0.45 Path Distance =22.6m From the 27th Generation FAR =2.57 Enc =0.41 Path Distance =20.4m From the 39th Generation FAR =2.52 Enc =0.33 Path Distance =15.8m Open Space Type: Goal Floor Area Ratio: 2.5 Goal Enclosure: Requirements Regular Square Initial Site and Grids From the 14th Generation FAR =1.85 Enc =0.77 Path Distance =19.6m From the 22th Generation FAR =1.80 Enc =0.53 Path Distance =20.0m From the 41th Generation FAR =1.95 Enc =0.59 Path Distance =15.0m Open Space Type: Goal Floor Area Ratio: 1.8 Goal Enclosure: 0.65 Requirements Street Space Initial Site and Grids From the 17th Generation FAR =1.78 Enc =0.80 Path Distance =17.2m From the 25th Generation FAR =1.32 Enc =0.79 Path Distance = 17.1m From the 40th Generation FAR =1.37 Enc =0.79 Path Distance = 15.7m Open Space Type: Goal Floor Area Ratio: 1.5 Goal Enclosure: Requirements Combined Initial Site and Grids From the 9th Generation FAR =2.62 Enc =0.77 Path Distance (mean) = 26.5m From the 31th Generation FAR =2.48 Enc =0.79 Path Distance (mean) = 26.7m From the 46th Generation Floor Area Ratio =2.54 Enclosure =0.77 Path Distance (mean) = 25.9m Open Space Type: Goal Floor Area Ratio: 2.5 Goal Enclosure: Requirements 0.75 0.75 Floor Area Ratio: 1.51 Enclosure: 0.77 Path Distance (mean): 13.4m (FAR Bias < 0.02) (Enc Bias < 0.03) Floor Area Ratio: 2.50 Enclosure: 0.76 Path Distance (mean): 26.6m (FAR Bias < 0.01) (Enc Bias < 0.02) Floor Area Ratio: 1.78 Enclosure: 0.67 Path Distance (mean): 16.8m (FAR Bias < 0.03) (Enc Bias < 0.03) Floor Area Ratio: 2.50 Enclosure: 0.32 Path Distance (mean): 16.0m (FAR Bias < 0.01) (Enc Bias < 0.03) 5.01hm2 5.40hm2 5.16hm2 12.47hm2 Locations of Main Entrances Locations of Ancillary Rooms Spare Area Stores w L ALL PLANS F1 OTHER FLOORS PARAMETRIC DESIGN FLOOR PLANS CORRIDORS ENTRANCE STRUCTURE ANCILLARY ROOMS STORES MASTER PLAN GENERATIVE DESIGN: MASTER PLAN PARAMETRIC DESIGN: FLOOR PLANS Module 1 Module 2 MODULE 2: FLOOR PLAN MODULE 1: MASTER PLAN INTRODUCTION MODULE 3: F1 STORES MODULE 4: VERTICLE TRANSPORT EVALUATION MODULE GRIDS & SCALE DESIGN SAMPLES 17
Input Small Scale x 240 From the Perspective of Visual Integration image size: 256*256 Workflow After Training Medium Scale x 320 Large Scale x 240 800 pairs of training datasets 200 epcohs Visual Integration Label Visual Integration Map Ground Truth Step 1: Dataset Preparation Step 1 Entrance Area Activity Area High Visual Integration Low Visual Integration Affect Visual Integration Ancillary Area Dispersed Stores Step 2 Training Process Step 3 Trainsform Image to Layout Dataset Preparation Spatial Layout Target Visual Integration Visual Integration Image An area with higher visual integration means this area is easier to be seen from other areas. Concept: VISUAL INTEGRATION output GOAL F1 STORES LAYOUT TARGET VISUAL INTEGRATION 1- F1 Spare Sapce Boundary 3- Visual Integration Calculation 4- Visual Integration Label Visual Integration Calculated in Depthmap X Preparation of a Training Pair 2- Dispersed Stores Layout dics_loss gen_gan_loss gen_l1_loss gen_total_loss Test Sample 1 Test Sample 2 Test Sample 3 Input Epoch 50 Epoch 100 Epoch 150 Output Ground Truth Step 2: Traning Process Structure of Pix2pix GAN (Generative Adversarial Network) Fake or True? Discriminator Fake or True? Discriminator Ground Truth Input Input Output ? Generator U-net https://arxiv. orgabs/1611.07004 Step 3: Transform Image to Model Image Input : RGB Color Extract Pixels by Color Merge Edge Curves Curve Adjustment Stores controlled by parameters Modelize Visual Integration high Low EVALUATION MODULE For Commercial Value of Each Store Evaluation Dimensions Floor Connectivity Area Distance to Entrance Ratio of Display Length to Area Overall Ratings Calculate the nearest entrance of each store. [Section 1 + Section 2] The area of the hexagon represents the overall rating of the store. Larger hexagon means higher commercial value. Lower floor with higher accessibility. Higher ratio with higher promotion. Calculate the nearest verticle transportation point of each store. Sample F3 F1 1 1 2 2 3 3 4 4 5 5 6 6 Section 2: to entrance Display Length Section 1: to verticle transport Calculate the average distance of each store to others at the same floor. Calculate the usable area of each store. [m2 Ratio = Display Length / Area [m-1] Floor Distance to Verticle Transportation Distance to Entrance Connectivity Area Ratio of Display Length to Area Restaurant Fashion House Fashion House Dessert House Book Store Jewelry Stores Coffee House Sports Store Distance to Verticle Transportation Shorter distance, higher connectivity. MACHINE LEARNING: F1 DISPERSED STORES Module 3 From the Perspective of Closest Visual Distance GOAL CLOSEST VISUAL DISTANCE Extract Entrances of Stores To make multiple vertical transportation points evenly distributed and easily visible. Random Verticle Transportation For Each Store, Search the Neareast Transportation Point Calculate Mean Distance: D(mean) = 33.9 m D(mean) = 25.7 m After Optimization Minimize Average Distance between Stores and Transportations Optimize Locations of Verticle Transportaion OBJECTIVE OPTIMIZATION: VERTICLE TRANSPORTATION Module 4 Samples F1 Plan Trained Machine Goal Visual Integration Visual Integration Iamge Transform to Model MODULE 2: FLOOR PLAN MODULE 1: MASTER PLAN INTRODUCTION MODULE 3: F1 STORES MODULE 4: VERTICLE TRANSPORT EVALUATION MODULE GRIDS & SCALE DESIGN SAMPLES 18
Four different sites in Beijing were selected to perform the entire workflow based on their needs respectively.
More stores and more places for activities! A stable place to gather.
CONTEXT Sample 1 Sample 2 Sample 3 Sample 4 EVALUATION GOAL Floor Area Ratio: 1.5 Enclosure: 0.75 GOAL Floor Area Ratio: 2.5 Enclosure: 0.75 GOAL Floor Area Ratio: 2.5 Enclosure: 0.32 Floor Area Ratio: 2.50 Enclosure: 0.32 Path Distance (mean): 16.0m Floor Number: 6 GOAL Floor Area Ratio: 1.8 Enclosure: 0.67 Floor Area Ratio: 1.78 Enclosure: 0.67 Path Distance (mean): 16.8m Floor Number: 4 Floor Area Ratio: 1.51 Enclosure: 0.77 Path Distance (mean): 13.4m Floor Number: 4 Floor Area Ratio: 2.50 Enclosure: 0.76 Path Distance: 26.6m Floor Number: 6
4.01hm2 4.40hm2 4.16hm2 8.47hm2 DESIGN SAMPLES BESIDE THE ART BLOCK SITE SITE SITE SITE 798 Art Block Residences & Hostels East Hutong Area West Hutong Area University In Development University The Beijing Axis Elderly Residences Elderly Residences Residences AN ELDERLY COMMUNITY THE HUTONG HISTORIC AREA NEW UNIVERSITY TOWN GENERATIVE DESIGN MASTER PLAN Module 1 FLOOR PLAN PARAMETRIC DESIGN Module 2 F1 STORES MACHINE LEARNING Module 3 VERTICLE TRANSPORTATION OBJECTIVE OPTIMIZATION Module 4 SOCIAL NEEDS Student Government Local Resident Merchants Committee The Elderly The Artist The Youth Large square for SHOWS! Indoor Space for Exibitions. A LOW-DENSITY mall for our Community! Renovate while protecting the city's memories. Still want the HUTONGS!
area
This
will develop! Must hold the chance.
MODULE 2: FLOOR PLAN MODULE 1: MASTER PLAN INTRODUCTION MODULE 3: F1 STORES MODULE 4: VERTICLE TRANSPORT EVALUATION MODULE GRIDS & SCALE DESIGN SAMPLES 19
The space with the highest degree of visual integration can be used as an art exhibition, attracting people to come and see it. The overall atmosphere is consistent with the characteristics of the art block.
The small-scale interior space and convenient corridors meet the needs of the elderly, and various shops serve the daily life of the elderly. A clear spatial composition allows the elderly to easily identify their location.
Sample 4 NEW UNIVERSITY TOWN Sample 3 THE HUTONG HISTORIC AREA Sample 2 AN ELDERLY COMMUNITY Sample 1 BESIDE THE ART BLOCK
The shopping malls near the university town have high commercial value. The architectural space with rich visual effects provides young people with an ideal entertainment place and more possibilities for activities.
MODULE 2: FLOOR PLAN MODULE 1: MASTER PLAN INTRODUCTION MODULE 3: F1 STORES MODULE 4: VERTICLE TRANSPORT EVALUATION MODULE GRIDS & SCALE DESIGN SAMPLES 20
The street shapes the architectural space and outdoor activity space. This not only adapts to the hutong form of the block, but also allows the city to retain its original characteristics in the process of renewal.
THE LAPPING STRUCTURE
Proposing a Novel 3-Dimensional Rod-Composed Structural System
This project proposed the lapping structure , a novel three-dimensional rodcomposed structural system. We chose the lapping rods as the starting point for structure generation. After four stages, including unit, wall, pavilion, and construction, we finally formed a complete and systematic structural system.
Throughout the whole project, we had two main goals. First, we aimed to satisfy both the structural rationality and visual richness by roll-bending aluminum extrusions. The system also combined lights, highlighting the rods' characteristics in the structure. Second, unlike the previous decorative pavilions, we expected the structure to be weather-resistant, which was a big challenge when considering the construction.
Keywords: Lapping Structure; Aluminum Extrusion; Roll-Bending; WeatherResistant Building
Undergraduate Thesis (In Process), Academic Work, from 2022 Autumn
Instructor: Prof. Weixin Huang; Dr. Jingyuan Hu
Site: Haidian, Beijing
Group Work; Group Member: Zhiqian Liu
Contribution: Algorithm 100%, Concept 50%, Construction Design 50%
Tools: Rhino, Python, Grasshopper (Karamba 3D)
06
THE UNIT Stage 1 Stages THE WALL Stage 2 THE PAVILION Stage 3 THE CONSTRCUTION Stage 4 Geometry Algorithm Form and Structure Actualization
3-Rod Unit
Formation Structural
Joints Rod
Structure
21
Purpose Contents
Rod-Composed Wall
Simulation
Fabrication
Algorithm
Many factors related to the actual construction need to be considered to ensure the feasibility and integrity of the project. This includes the basic principles of rod combination, the working principle and limitations of the roll-bending machine, the feasibility of joint construction, and the difficulty of curve processing.
1) Lapping
Rod B
Weaving Structure in the Previous Work
Lapping is the most common connection type in our structural system. Structure with Thickness
2) Bending
Side Bend
Front Bend Twist
Due to the limitations of our roll-bending machine, only side bening and front bending are allowed, and twisting should be avoided.
3) Joints
How to generate a 3-dimensional structural system with rods? 2-dimensional structural system
Similar to other 2-dimensional structures that start from units, this 3-dimensional spatial structure have chosen to start from the simplest spatial units to find ways to combine the rods.
THE WALL For Algorithm
Rod B&B
Rod A&B&C
Rod B&C
In order to keep the rods from overlapping when duplication, the position of each vertex was adjusted in the algorithm according to the dimension of the rod section. All joints use common specifications, and avoid customized parts as much as possible to save costs.
The algorithm was written in grasshopper combining python to fit all prospective shapes.
4) Fillet
R R Polylines Bending Rods
All curves are transformed from polylines through filleting the vertexes.
BASIC PRINCIPLES BACKGROUND New Objective
Rod A LappingPart
Lights
PROSPECTS Higher Strength Gravity Wind Weather Resistant Combined with
Easy for Workers Possible in Real Architecture Convinient Construction Visual Effects Can be Widely Applied
Units Polylines Curve Adjustment
Stage 2
UNIT
Stage 1
Wall
Subdivision
View
Formation of a Wall Prospective Shape
Rods
THE
For Geometry Composition
UnitDuplication 3-Dimensional Rod-composed
3-Rod Unit
4 Lapping Connection Types Front
Fillet and Adjustment to Avoid Conflict and Overlapping between Rods
Rod A&A Rod A A B C
dimension
Rods: Vertex Connection Rod B Rod C xdimension z
BACKGROUND THE UNIT THE WALL THE PAVILION THE CONSTRUCTION 22
Because the building is weather-resistant, it can accommodate a range of different functions. Here a flower store is used as an example for the lighting and the final visual effect. This gives the pavilion a visual value and practicality, and offers the structure and construction the possibility to be widely applied.
Deisgn BACKGROUND THE UNIT THE WALL THE PAVILION THE CONSTRUCTION 23
Flower Store
THE PAVILION For Form and Structure Stage 3 THE CONSTRCUTION Stage 4 Site Information Formation Rod Fabrication Nodes & Construction Structural Simulation Simulation Conditions: 1.5 times Gravity 0.6 kN/m In Karamba 3D For Actualization PedestrainStreetMall Mall 9m 19m SITE The site is located on a commercial pedestrian street in Chaoyang District, Beijing, China. The pedestrian street has a large flow of people, so we wanted to design a pavilion that would attract attention and have a practical usage. Initial form to fit the site Form adjustment Structure Transform Attracting customers Fixed Wall Prospective Structure 881 Nodes Maximum Displacement: 8.22cm 881 Lapping Nodes 117 X Nodes 131 Long Nodes 998 Nodes Maximum Displacement: 4.46cm 1129 Nodes Maximum Displacement: 0.44cm 0 cm 9 cm Displacement Rod Rod Sections Curvature Calculation Data Integration Side Radius Roll-bending Machine Front Radius Control Wheels Rod Bending Attempts Side Radius Control Wheels Roll-bending Machine Working Rod Divided into Sections for Calculation Partly Peel Typical Lapping Section Unpeeled Parts: For Connection Aluminum Extrusion Aluminum Extrusion ROD & PP SHEET CONNECTION ROD & ROD CONNECTION Rod & Wall Rod & Ground Verticle Lapping Horizontal Lapping Peeled Parts: For Lightening ROD & WALL/GROUND CONNECTION PE lampshade PE lampshade Aluminum extrusion Aluminum extrusion Aluminum extrusion Aluminum keel Aluminum keel Aluminum Keel L-shaped billet L-shaped billet Aluminum extrusion Aluminum extrusion PP sheet PP sheet PP sheet Support Wall Base PP sheet: Weather Resistant Sales Space: Flower Store Layout Lapping Structure: Structure & Form The colors of the PP panels in different positions show a gradient relationship to create a richer visual effect. Since the building is weatherresistant, it provides a stable space for activites such as selling. This structure not only plays a supporting role, but also combines with lighting effects to give the form expressive power. Bolt Bolt Bolt Base Wall Bolt LED light bar Electric wire Electric wire Electric wire LED light bar LED light bar + + BACKGROUND THE UNIT THE WALL THE PAVILION THE CONSTRUCTION 24
WHITE NOISE APARTMENT
Relieve Lonliness during the COVID-19 Period
White noise refers to a noise that contains all frequencies across the spectrum of audible sound in equal measure. White noise creates a pleasant acoustic atmosphere and benefits people's mental health
With the prevalence of the epidemic, people are working and living in the same space in order to isolate themselves from the virus. Our outer connections to the external world has been limited to the Internet, while inner environments with families has become the only place people can get in touch with real people. People are facing a series of mental problems with this transition of life.
This work attempted to create several authentic white noise environments and delineate different functional spaces through the characteristics of white noise to create suitable atmospheres and enhance people's concentration. White noise creates connections between people, although they are not in the same physical space.
Keywords: White Noise, Connection, Sound Environment, Mental Health
Option Studio, Academic Work, Spring 2021
Course Name: Architectural Design (6)
Modified in Spring 2022
Duration: 8 Weeks
Instructor: Quan Jing
The Chief Architect of the Architectural Design and Research Institute of China
Site: Hefei City, Anhui Province
Individual Work
Tool: Rhino
07
Outer
Covid-19 White Noise Work Unit Study Unit Rest Unit Public Connection Study Connection Work Connection Mental Health Inner Environment Create Balance Reduce Confuse Sound Units Sound Pipes Family Society 25
Conncection
Background: Mental Problems Caused by COVID-19
White noise describes the sound of every audible frequency playing at the same amplitude or volume. While this may seem like it would be harsh, the result is actually a calming sound, not unlike gentle static.
The COVID-19 pandemic and the resulting economic recession have negatively affected many people’s mental health and created new barriers for people already suffering from mental illness and substance use disorders. Yanzihe Rd
Site Selection and Sound
The site was chosen in a place where traffic and machine sounds could be isolated, but human sounds could be heard.
People are vulnerable to mental problems during the COVID-19 Especially Young Adults Especially Families with Children
Data Sources: https://www.kff.org/coronavirus-covid-19/issue-brief/the-implications-of-covid-19-for-mental-health-and-substance-use/
Sources: https://www.soundproofcow.com/benefits-white-noise/; https://www.lasko.com/3-major-benefits-of-white-noise/
The Beginning: Family Life during the COVID-19 Period ...
Sam 28, Employee Feeling hard to concentrate when working at home
LEAVE IT AT THAT! I'M STILL THINKING OF THE UNFINISHED DRAWING! THE DEADLINE IS TOMORROW.
Jim 12, Student Easily disturbed when studying at home.
Jane 26, Designer Can't help thinking of work when resting.
Reorganize connections between people by creating a common white noise environment. Concept: Rearrange Space and Sound
HAVEN'T I TOLD YOU TO BE QUIET YET! DON'T BOTHER ME WHEN I AM BUSY!
HOOOOOORAY!!! I'M GOING OUT TO PLAY FOOTBALL WITH TIM!!! BYE MOM DAD!
Bob 42, Manager Sensitive to sounds at work, especially from his child.
BUT JIM, YOU HAVEN'T FINISHED YOUR HOMEWORK YET, YOU SHOULDN'T GO OUT! MOMMY, WANNA PLAY WITH ALICE, I WANNA GO BACK TO SCHOOL!
DARLING, IT'S DANGEROUS OUTSIDE.
HOW ABOUT DO SOME READING AT HOME?
Rachel 41, Consultant Always thinking of her child, can't get into the work state. Ama 8, Student Missing the days when learning and chatting with her friends.
IT'S AMA'S BED TIME NOW, BUT STILL HAVE AN ONLINE MEETING.
Robert 40, Programmer Often work overtime and worry that would annoy his family.
WHERE SHOULD I STAY? I MISS THE DAYS WHEN I COULD WALK AROUND WITH MY FRIENDS EVERYDAY, BUT NOW I DON'T DARE TO GO ANYWHERE!
Emily 35, Housewife Worry about the health of her family, find it difficult to sleep.
Tom 68, Retired Suffering from weak vision, and feeling anxious due to limited connection with others.
Average Share of Adults Reporting Symptoms of Anxiety Disorder and/or Depressive Disorder (2019 v.s. 2021) 11.0% 41.1% 2019 2021 Share of Adults Reporting Symptons of Anxiety or Depressive Disorder During the COVID-19 Pandemic (in 2021) 35.8% 28.4% 41.1% Anxiety Disorder Depressive Disorder Anxity and/or Depressive Disorder Share of Adults Reporting Symptoms of Anxiety and/or Depressive Disorder during the COVID-19 Pandemic, by Age 56.2% 48.9% 18-24 25-49 50-64 39.1% 29.3% 65+ Share of Adults in Households with Children Who Report Symptoms of Anxiety and/or Depressive Disorder during the COVID-19 Pandemic, by Gender 49.3% 40.3% Female Male NOT FEELING LIKE WORK... HOW ABOUT WATCHING A MOVIE? WE HAVEN'T DONE IT FOR WEEKS.
YanglinRd HefeiCityBeltway GREENBELT:BlocktheSounds SITE Primary School Residence Office Building Residence Middle School Industrial Park Food Street
Rest Units For Family Activities and Rest Work Units and Study Units Functional Units for White Noise Connection Inner Connection: Spatial Connect To Integrate Apartments Public Space Organization Outdoor Space for Activities Outer Connection: Sound Connect To Connect White Noise Public Sound Connection Outdoor White Noise Arrangement Work Unit Study Unit Rest Unit
Public Space
Connections
Improve Concentration Create a Specific Atmosphere Not Easily Disturbed by a Sudden Sound Reduce Loneliness Ease Anxiety Shut
the Rest
the World
Out
of
Public Activity
Sound Units For Work For Rest For Sociality For Study
CONCEPT SOUND UNITS SOUND PIPES RELATIONSHIP BETWEEN PEOPLE AND WHITENOISE 26
Background: Benefits of White Noise Family of a Couple Family of Three: Parents and Child Family of Four: Parents, Child, and Elderly Solution: White Noise Connection Work Connection Study Connection
Connection
White Noise
Library White Noise Use Mode 2: for Concentration Classroom White Noise Office White Noise Meeting Room White Noise Typical Family of Four Father, Mother, Chidren, and one Elderly Typical Family of Two Couple Typical Family of Four Father, Mother (Housewife), Two Chidren Work Unit Kitchen Dining Bathroom Bedrooms Family Activity Area Living Room Dining Bedroom Kitchen Bathroom Living Room Movie Area Bedroom -- Elderly Bedroom -- Child Bedroom -- Adults Study Units Bathrooms Kitchen Dining Living Room White Noise from and to Sound Pipes White Noise from Outside Work Units Study Units Work Units Home Activities Rest Units White Noise from Nature Public Activity Space Rest and Sleep Unit Assembly Appropriately arranging the sound units can not only enhance the quality of sound indoors but also make sounds more vivid in public areas. In this case, people can also experience the sound of the public space when they open their windows. By arranging the section, sound can be blocked to create a quiet and relaxing atmosphere for people who do not like noise. When arranging sound units, both the function of the rooms and the characteristics of sound is considered to fit different needs and usage. Rest Units can create chances for a number of home activities concerning sound, such as watching a movie or listening to music. In this case, most of the sound is concentrated in an area where people don't stay. Thus, people have a chance to enjoy lighter and softer white noise from nature which help them to relax. Sound units are assembled into living apartments. Different Units were selected to fit the needs of different typical families. Work School Normal Rooms Parallel walls are prone to produce resonance. Sound Units: Reverberation Arranging Sound Units Living Apartments Section Adjustment Avoid parallel walls for better reverberation results. Sound Unit Prototype Use Mode 1 : for Lessons & Meetings Rest Unit 1 Rest Unit 2 Rest Unit 3 Sound of Nature Typical Rest Units Typical Apartment 1 Typical Work Units Rest Unit Section: Watch Movies Rest Unit Section: Relax Work Unit Cluster Study Unit Cluster Rest Units Rest Units Typical Study Units White Noise Example 1 From Pipes: Atmosphere of Office White Noise Example 2 From Windows: Outdoor White Noise Help Relax Work Unit 1 Work Unit 2 Study Unit 1 Study Unit 2 Typical Apartment 2 Typical Apartment 3 from sound pipe to sound pipe Study and Work Units CONCEPT SOUND UNITS SOUND PIPES RELATIONSHIP BETWEEN PEOPLE AND WHITENOISE 27
Public Space Sound Connection
Work Units Sound Connection
Sound Pipes
All work and study sound units are connected by sound pipes to form a natural white noise environment to create a sound effect similar to that in real office and study environments, enhancing human concentration and efficiency. Public pipes connect public activity spaces, allowing these spaces to produce lively sound effects even when the density of people is low, which alleviates the feeling of human isolation.
Study Units Sound Connection
CONCEPT SOUND UNITS SOUND PIPES RELATIONSHIP BETWEEN PEOPLE AND WHITENOISE 28
White Noise | Listen
Walking through the buildings, we hear not only the sounds of people's activities, but also the sounds of nature: wind, birds, and rain. All the sounds come together to form a more complete white noise.
White Noise| Emerge
In this building, people are the main creators of sound. The sound generated by people when exercising, chatting, and playing is transmitted to all parts of the building, further stimulating the desire for human interaction.
White Noise | Interact
Being the producer as well as the acceptor of white noise, people have the opportunity to interact with others even they are not in the same space. This is an approach of interaction emerged due to COVID-19: to feel the presence of others without meeting them and any electronic devices.
CONCEPT SOUND UNITS SOUND PIPES RELATIONSHIP BETWEEN PEOPLE AND WHITENOISE 29