Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2020_173
id	ecaade2020_173
authors	Wang, Yuyang, Agkathidis, Asterios and Crompton, Andrew
year	2020
title	Translating Fengshui into algorithmic design - A digital tool to examine the impact of Fengshui on Siheyuan’s layout
doi	https://doi.org/10.52842/conf.ecaade.2020.2.391
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 391-400
summary	In continuation of our previous work on the design principles of traditional Beijing Siheyuan courtyard housing and their implementation into computational algorithms, this paper investigates the impact of the Fengshui theory on its layout. In particular, we will present the development of a Grasshopper algorithm able to examine Siheyuan houses' fortune status according to their layout. We have verified the algorithm by using Siheyuan precedence from the ancient Beijing map and measuring surveys on extant buildings. Our findings highlight that most Siheyuan houses were designed to be auspicious even though other forces were working against
keywords	Siheyuan; digital heritage; algorithmic design; Fengshui; Gongcheng Zuofa Zeli
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia20_188
id	acadia20_188
authors	Tian, Runjia; Wang, Yujie; Yüce Gün, Onur
year	2020
title	Data-Driven Midsole
doi	https://doi.org/10.52842/conf.acadia.2020.2.188
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 188-197.
summary	With the advancement of additive manufacturing, computational approaches are gaining popularity in midsole design. We develop an experimental understanding of the midsole as a field and develop designs that are informed by running data. We streamline two data types, namely underfoot pressure and surface deformation, to generate designs. Unlike typical approaches in which certain types of lattices get distributed across the midsole according to average pressure data, we use ARAMIS data, reflecting the distinct surface deformation characteristics, as our primary design driver. We analyze both pressure and deformation data temporally, and temporal data patterns help us generate and explore a design space to search for optimal designs. First, we define multiple zones across the midsole space using ARAMIS data clustering. Then we develop ways to blend and distribute auxetic and isosurface lattices across the midsole. We hybridize these two structures and blend data-determined zones to enhance visual continuity while applying FEA simulations to ensure structural integrity. This multi-objective optimization approach helps enhance the midsole’s structural performance and visual coherence while introducing a novel approach to 3D-printed footwear design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_66
id	acadia20_66
authors	Aviv, Dorit; Wang, Zherui; Meggers, Forrest; Ida, Aletheia
year	2020
title	Surface Generation of Radiatively-Cooled Building Skin for Desert Climate
doi	https://doi.org/10.52842/conf.acadia.2020.1.066
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 66-73.
summary	A radiatively cooled translucent building skin is developed for desert climates, constructed out of pockets of high heat-capacity liquids. The liquids are contained by a wavelength-selective membrane enclosure, which is transmissive in the infrared range of electromagnetic radiation but reflective in the shortwave range, and therefore prevents overheating from solar radiation and at the same time allows for passive cooling through exposure of its thermal mass to the desert sky. To assess the relationship between the form and performance of this envelope design, we develop a feedback loop between computational simulations, analytical models, and physical tests. We conduct a series of simulations and bench-scale experiments to determine the thermal behavior of the proposed skin and its cooling potential. Several materials are considered for their thermal storage capacity. Hydrogel cast into membrane enclosures is tested in real climate conditions. Slurry phase change materials (PCM) are also considered for their additional heat storage capacity. Challenges of membrane welding patterns and nonuniform expansion of the membrane due to the weight of the enclosed liquid are examined in both digital simulations and physical experiments. A workflow is proposed between the radiation analysis based on climate data, the formfinding simulations of the elastic membrane under the liquid weight, and the thermal storage capacity of the overall skin.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_189
id	cdrf2019_189
authors	Dasong Wang and Roland Snooks
year	2020
title	Artificial Intuitions of Generative Design: An Approach Based on Reinforcement Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_18
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	This paper proposes a Reinforcement Learning (RL) based design approach that augments existing algorithmic generative processes through the emergence of a form of artificial design intuition. The research presented in the paper is embedded within a highly speculative research project, Artificial Agency, exploring the operation of Machine Learning (ML) in generative design and digital fabrication. After describing the inherent limitations of contemporary generative design processes, the paper compares the three fundamental types of machine learning frameworks in terms of their characteristics and potential impact on generative design. A theoretical framework is defined to demonstrate the methodology of integrating RL with existing generative design procedures, which is further explained with a Random Walk based experimental design example. The paper includes detailed RL definitions as well as critical reflections on its impact and the effects of its implementation. The proposed artificial intuition within this generative approach is currently being further developed through a series of ongoing and proposed research trajectories noted in the conclusion. The ambition of this research is to deepen the integration of intention with machine learning in generative design.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_315
id	caadria2020_315
authors	Feng, Shiyu, Du, Mengzeshan, Wang, Weiyi, Lu, Heng, Park, Daekwon and Ji, Guohua
year	2020
title	3D Printed Monolithic Joints - A Mechanically Bistable Joint
doi	https://doi.org/10.52842/conf.caadria.2020.1.173
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 173-182
summary	This paper describes the design and fabrication process of an adaptive joint using 3D printed mono-material bistable mechanisms. The proposed joint deforms when external forces are applied, achieving two stable states. An x-shaped microstructure (simul-SLE) is designed for the connection portion of the bistable structure inside the joint. 3D-Printing experiments is conducted to explore the possibility of various forms of simul-SLE, which realize bistable by a single material. The experiment primarily solved two problems, namely the selection of materials and how to make the rigid 3D printed material acquires properties of flexibility and softness. Finally, practical applications are shown to prove the future of this joint.
keywords	3D printing; adaptive joint; mechanically-bistable joint
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2020_143
id	ecaade2020_143
authors	Ilyas, Sobia, Wang, Xinyue, Li, Wenting, Zhang, Zhuoqun, Wang, Tsung-Hsien and Peng, Chengzhi
year	2020
title	Towards an Interactionist Model of Cognizant Architecture - A sentient maze built with swarm intelligence
doi	https://doi.org/10.52842/conf.ecaade.2020.2.201
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 201-208
summary	Cognizant Architecture is a term used to define sentient and smart structures broadly. In this paper, an 'Interactionist' model of cognizant architecture is proposed as a method of investigating the development process by inverting the conventional concept of maze design. The proposed 'Cognizant Maze' aims to achieve user-architecture micro-interactions through delighting the users, presenting a physical activity equally attractive to kids and adults alike, and activating mind-enticing visual effects. Like many previous innovations, nature is what inspires us in the maze-making process. In modelling the cognizant maze, we develop the concept and workflow of prototyping a form of swarm intelligence. We are particularly interested in exploring how simulated behaviours of swarm intelligence can be manifested in a maze environment for micro-interactions to take place. Combining parametric modelling and Arduino-based physical computing, our current interactive prototyping shows how the maze and its users can 'think, act and play' with each other, hence achieving an interactionist model of cognizant architecture. We reflect that the lessons learned from the Cognizant Maze experiment may lead to further development of cognizant architecture as a propagation of swarm intelligence through multi-layered micro-interactions.
keywords	swarm intelligence; maze design; Micro-interactions; interactive prototyping; cognizant architecture
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2020_260
id	caadria2020_260
authors	LI, Yan, DU, Hongwu and WANG, Qing
year	2020
title	The Association Study Between Residential Building Interface and Perceived Density based on VR Technology - Taking 2 Enclosed Residential Districts of Guangzhou as Examples
doi	https://doi.org/10.52842/conf.caadria.2020.1.711
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 711-720
summary	As urban development enters the stock increment era , the demand of environmental quality in urban residential districts gradually improves, making the construction of livable residential environment an important direction of urban development. The improvement of livable environment is the inevitable result of this process and perceived density is an indispensable and important part. Among the statistical methods, preference study is the most commonly one to explore the subjective factors affecting preference. The experience of immersive virtual environment can provide a more appropriate analytical method better for traditional image selection. Different permeability of architectural interface has significant influences on the perception of space comfortability, crowding and fascination. In this paper, two existing enclosed residential districts are selected for case study. The factors closely related to perceived density, such as solid Wall, grille, glass, open space, greening, etc, are selected by using immersive virtual technology. Through the interviewees' evaluations of perceived density of the virtual environment, the relationship between building interface and the perceived density of the residential area will be established.
keywords	Spatial Perceived Density; Virtual Reality Technology; Enclosed Residential District; Housing Interface; Association Study
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2020_164
id	caadria2020_164
authors	Lu, Yi-Heng, Wang, Shih-Yuan, Sheng, Yu-Ting, Lin, Che-Wei, Pang, Yu-Hsuan and Hung, Wei-Tse
year	2020
title	Transient Materialization â€“ Robotic Metal Curving
doi	https://doi.org/10.52842/conf.caadria.2020.2.423
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 423-432
summary	This paper introduces the notion of transient materialization to investigate a novel approach of robotic fabrication. Transient materialization explores a new logic of materialization that takes the advantage of differentiated material states to generate form at a particular moment through computation and fabrication technologies. Specifically, this design research explains a unique design and fabrication process, opening up a new method of materializing architectural form that emerges from the interweaving of data, the material capacity (plastic deformation), timing, and machine capacity. Hence, to examine this research direction, this paper conducts an experimental project, Robotic Metal Curving, through hands-on material experiments, as well as the development of algorithms, robot motion, and prototyping machines. This experiment utilizes an induction heating technique in cooperation with a six-axis industrial robotic arm and fabrication equipment used to shape each metal rod into a three-dimensional curve at a transient moment. In addition, the project focuses not only on developing a robotic metal curving system but also apply this technique in large scale by fabricating a wire-frame structure.
keywords	Robotic Fabrication; Digital Fabrication; Metal Bending
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2020_178
id	caadria2020_178
authors	Luo, Yue, Liang, Manchen, Gao, Letong, Zhang, Yuchun, Wang, Chenxi, Su, Xia and Huang, Weixin
year	2020
title	Investigating Site Survey Process with Protocol Analysis and an Extended FBS Framework
doi	https://doi.org/10.52842/conf.caadria.2020.2.547
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 547-556
summary	In this paper, we try to investigate architectural site survey process by conducting experiment and quantitative analysis. 17 student volunteers were asked to practice site survey for a fixed design objective. With site survey process recorded along with sketching and utterance, we adopt protocol analysis and FBS ontology, which are widely used and discussed in design process research, as the basis of our analysis. Since site survey is a preliminary stage of architectural design, it differs from actual design process in many aspects. In this case, we extended the original FBS framework by adding two extra activities- Objective Processor and Subjective Processor- to better describe site survey process.
keywords	Site Survey; Protocol Analysis; FBS Ontology; Architecture Education
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaade2020_032
id	ecaade2020_032
authors	Tuzun Canadinc, Seda, Wang, Bihan, Pi, Yalong and Yan, Wei
year	2020
title	Multi-User and Web-based Parametric Modeling with Multiple Visual Programming Tools
doi	https://doi.org/10.52842/conf.ecaade.2020.1.019
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 19-28
summary	This paper presents a new framework for Web-based parametric modeling for design collaboration, allowing multiple users to work on the shared Web-based model in the process of building design and modeling, performance simulation, and optimization. The Web-based model viewer displays a shared model. Two visual programming tools: Grasshopper and Dynamo, are used on users' local computers connected to the Web. Two working prototypes of modeling methods were developed to control and modify building models on the Web. Two case studies with three tests each were conducted on a simplified residential building model. In Case Study 1, two simulated users tested the parametric capabilities on transformations including scaling, translation, and rotation of the shared Web-based model using Grasshopper and Dynamo. In Case Study 2, two simulated users collaborated on the shared Web-based model through Grasshopper in the process of optimization for different building performance objectives, in terms of daylight, energy use, and roof coverage. Web-based parametric modeling is expected to provide opportunities for collaboration in parametric design and optimization. Findings and technical limitations of the framework are discussed in the paper.
keywords	Web-based Modeling; Parametric Modeling; Optimization; Visual Programming; Collaborative Design; Building Performance Simulation
series	eCAADe
email
last changed	2022/06/07 07:58

_id	caadria2020_063
id	caadria2020_063
authors	Wang, Chunxiao and Lu, Shuai
year	2020
title	Influence of Uncertainties in Envelope and Occupant Parameters on the Reliability of Energy-Based Form Optimization of Office Buildings
doi	https://doi.org/10.52842/conf.caadria.2020.1.497
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 497-506
summary	Building performance optimization is effective in finding optimal designs and improving building energy efficiency, but its reliability can be affected by uncertainties in input parameters. This paper conducts a reliability analysis on energy-based form optimization of office buildings under uncertainties in envelope and occupancy parameters. An optimization process involving Rhinoceros, EnergyPlus and genetic algorithms is first implemented. Then parametric studies of 644 scenarios involving 4 cities in different climates and 3 form variables are conducted. The results indicate that uncertainties in input parameters could lead to major unreliability of optimization results, including reductions up to 13% in energy saving achieved by optimization and descents up to 10% in energy efficiency compared with results before optimization. Moreover, the uncertainty in visual transmittance of windows is the most significant cause for the unreliability, followed by U-value of walls, while the uncertainty in occupant density and occupant schedule has limited influence. The results can help designers understand the uncertainty of which parameters should be controlled and to what extend optimization results can be trusted in various scenarios.
keywords	Building Performance Optimization; Form Design; Building Energy Efficiency; Uncertainty Analysis; Office Building
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2020_052
id	caadria2020_052
authors	Wang, Joann
year	2020
title	Digital Architextiles - Nonwoven textile thermoforming in robotic fabrication
doi	https://doi.org/10.52842/conf.caadria.2020.1.045
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 45-54
summary	This paper includes an experimental study of parametric design, which is combined with digital fabrication and weaving techniques for Digital Architextiles. Digital Architextiles is a way of combining circular material of PET (Polyethylene Terephthalate) winding and thermoforming fabrication with robot collaboration for circular economy. In addition, combined with the concept of circular economy, mass customization with tailor-made material can effectively reduce unnecessary waste. Collaborating with parameterized tools, the research work has developed lightweight structures in different winding patterns. Therefore, starting from the exploration of the material system, the paper studies the circular PET material fiber in the digital process assisted by the robot arms, and proposes a circular-based system with high adaptability and freedom, which can be used for the production tool in the multi-stage manufacturing, and to produce a building winding unit responding to various needs in circular economy to various surface shapes.
keywords	PET material of Circular Economy; Parametric Design; Winding Fabrication; Thermoforming Fabrication; Robotic Fabrication
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2020_008
id	caadria2020_008
authors	Wang, Likai, Chen, Kian Wee, Janssen, Patrick and Ji, Guohua
year	2020
title	Enabling Optimisation-based Exploration for Building Massing Design - A Coding-free Evolutionary Building Massing Design Toolkit in Rhino-Grasshopper
doi	https://doi.org/10.52842/conf.caadria.2020.1.255
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 255-264
summary	This paper presents an evolutionary design toolkit for performance-based building massing design optimisation. The toolkit is aimed to assist architects in exploring a wide range of building massing design alternatives guided by various performance objectives, thereby encouraging architects to incorporate evolutionary design optimisation for enriching design ideation at the outset of the design process. The toolkit is implemented in the Rhino-Grasshopper environment and includes components of a diversity-guided evolutionary algorithm and two pre-defined parametric models capable of generating a wide range of massing designs. The evolutionary algorithm can yield diverse design variants from the optimisation process and present more informative results with higher design differentiation. The pre-defined parametric models require minimal customisation from the architects. By using the toolkit, architects can readily explore high-performing building design with performance-based design optimisation with ease, and the coding-free optimisation workflow also streamlines the design process.
keywords	evolutionary design; building massing design; performance-based design; design process; design exploration
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2020_009
id	caadria2020_009
authors	Wang, Likai, Chen, Kian Wee, Janssen, Patrick and Ji, Guohua
year	2020
title	Algorithmic generation of architectural Massing Models for building design optimisation - Parametric Modelling Using Subtractive and Additive Form Generation Principles
doi	https://doi.org/10.52842/conf.caadria.2020.1.385
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 385-394
summary	Using performance-based optimisation to explore unknown design solutions space has become widely acknowledged and considered an efficient approach to designing high-performing buildings. However, the lack of design diversity in the design space defined by the parametric model often confines the search of the optimisation process to a family of similar design variants. In order to overcome this weakness, this paper presents two parametric massing generation algorithms based on the additive and subtractive form generation principles. By abstracting the rule of these two principles, the algorithms can generate diverse building massing design alternatives. This allows the algorithms to be used in performance-based optimisation for exploring a wide range of design alternatives guided by various performance objectives. Two case studies of passive solar energy optimisation are presented to demonstrate the efficacy of the algorithm in helping architects achieve an explorative performance-based optimisation process.
keywords	parametric massing algorithms; performance-based optimisation; design exploration; solar irradiation
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2020_193
id	caadria2020_193
authors	Wang, Sihan, Liu, Chi, Zhang, Guo Li, Luo, Qi Huan, Xu, Weishun and Raspall, Felix
year	2020
title	Digital Planting - Fabrication of Integrated Concrete Green Wall via Additive Manufacturing
doi	https://doi.org/10.52842/conf.caadria.2020.1.145
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 145-151
summary	Green walls are becoming a symbol of modern architecture representing sustainability and aesthetics. However, the fabrication of wall components that can nurture the growth of plants and other living creatures requires components to locate soil and other substrates, a controlled rugosity for plants and moss to grip, and conduits to distribute water and nutrients. This is normally done by adding extra attachments to the faÃ§ade. In this paper, we introduce a digital approach to design and produce architectural components that can integrate green wall's functional requirements into the wall itself. Such components are fabricated via Additive Manufacturing (AM) extrusion with the assists of robotic arms.
keywords	Green Wall; Additive Manufacturing; Robotic Fabrication; Clay Printing
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2020_200
id	caadria2020_200
authors	Wang, Sihan, Toh, Hui Ping, Raspall, Felix and Banon, Carlos
year	2020
title	Detailing the Configuration to Perform Better Clay Printing
doi	https://doi.org/10.52842/conf.caadria.2020.1.153
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 153-161
summary	In this paper, we introduce an in-depth study on the performance of clay Additive Manufacturing (AM) process under various printing configurations. Our objective is to examine the filament behavior through clay extrusion with the focus on its printability, geometrical accuracy, and mechanical performance. Such research contributes to AM clay and ceramic artefacts in terms of the shaping and durability. The tests initiate with single layer extrusion which intends to investigate the relations between filament profile and input parameters, such as: Extrusion configurations (Layer height H, nozzle diameter D, velocity ratio R between extrusion and nozzle movement) and Printing-path parameters (Curvature). Subsequently, we apply the configurations from single layer extrusion on multiple layers printing test. The benchmark is based on the consistency of filament in each layer, the bonding strength between layers and the maximum flexural stress along build-up direction.
keywords	Additive Manufacture; Robotic Fabrication; Clay Printing
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	artificial_intellicence2019_295
id	artificial_intellicence2019_295
authors	Xiang Wang, Kam-Ming Mark Tam, Alexandre Beaudouin-Mackay,Benjamin Hoyle, Molly Mason, Zhe Guo, Weizhe Gao, Ce Li, Weiran Zhu,Zain Karsan, Gene Ting-Chun Kao, Liming Zhang, Hua Chai, Philip F. Yuan, and Philippe Block
year	2020
title	3d-Printed Bending-Active Formwork for Shell Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_18
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2026)
summary	This paper presents a novel building technique for the formwork of thin shell structures with 3d-printed bending-active mesh sheets. To enhance the structural stiffness of the flexible plastic materials, bending-active form is applied to utilize the geometry stiffening effect through the large deformation of bending. As it is the main problem to determine the final geometry of the bent surface, design methods with consideration of the numerical simulation is researched and both simulations via dynamic relaxation and finite element method are presented. Several demonstrator pavilions and the building process are shown to test the feasibilities of the presented building techniques in the real shell project. It is expected that this method could be applied into more thin shell projects to realize an efficient building technology with less exhaust of materials.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	caadria2020_011
id	caadria2020_011
authors	Xiao, Kai, Chen, Chen-cheng, Guo, Zhe, Wang, Xiang and Yan, Chenyun
year	2020
title	Research on Voxel-based Aggregation Design and its Fabrication
doi	https://doi.org/10.52842/conf.caadria.2020.1.013
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 13-22
summary	The application of aggregation structure in architecture has a long history, such as a stone wall and bucket arch. With the development of digital design technology, the aggregation structure has become more possibilities in terms of form design and rationality. However, many types of research on aggregation structure focus on a specific form or fabrication process, only a few discuss the simple design method of the discrete structure in the digital platform. Here we show an approach of aggregation structure design and fabrication based on voxel. Within the framework of six voxels, a group of "aggregation units" are designed, which are used in different parts of the aggregation structure according to the structural requirements. Finally, part of the structure is made by digital tools. We anticipate that the morphology and fabrication method of aggregation structure based on voxel framework able to provide more convenience, which not only reflected in the design process of the unit but the generation operation and optimization process of the overall structure.
keywords	Aggregation; Voxel; Digital Fabrication; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia20_208
id	acadia20_208
authors	Zheng, Hao; Wang, Xinyu; Qi, Zehua; Sun, Shixuan; Akbarzadeh, Masoud
year	2020
title	Generating and Optimizing a Funicular Arch Floor Structure
doi	https://doi.org/10.52842/conf.acadia.2020.2.208
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 208-217.
summary	In this paper, we propose a geometry-based generative design method to generate and optimize a floor structure with funicular building members. This method challenges the antiquated column system, which has been used for more than a century. By inputting the floor plan with the positions of columns, designers can generate a variety of funicular supporting structures, expanding the choice of floor structure designs beyond simply columns and beams and encouraging the creation of architectural spaces with more diverse design elements. We further apply machine learning techniques (artificial neural networks) to evaluate and optimize the structural performance and constructability of the funicular structure, thus finding the optimal solutions within the almost infinite solution space. To achieve this, a machine learning model is trained and used as a fast evaluator to help the evolutionary algorithm find the optimal designs. This interdisciplinary method combines computer science and structural design, providing flexible design choices for generating floor structures.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_255
id	cdrf2019_255
authors	Qian Wan, Li Wang, and Guowei Ma
year	2020
title	Adaptable Tool-Path Planning Method for 3D Concrete Printing Based on the Mapping Method
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_24
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	3D concrete printing (3DCP) has been successfully and widely applied in the fields of civil structure, infrastructure, architectural decoration etc.,due to its unique advantages of automation and flexibility, and has shown great potential for development. One of the key steps in the execution of 3DCP is the toolpath planning process. However, 3DCP typically utilize the flowable composite materials which changes with time, and it is easy to induce interface joints or filling defects due to uneven path distribution when constructing the irregularshaped construction. To solve the problem of printing path planning in 3DCP, this paper proposes tool-path planning based on mapping method, which integrates the rheology and necessary continuity of concrete materials into the printing process parameters, improves the mutual adaptability of printing process and material characteristics, improves the continuity of printing, the compactness of filling, and then ensures the stability and durability of printing structure.
series	cdrf
email
last changed	2022/09/29 07:51

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