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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Hits 1 to 13 of 13

Reformat results as: short short into frame detailed detailed into frame

_id	acadia21_354
id	acadia21_354
authors	Liu, Yulun; Lu, Yao; Akbarzadeh, Masoud
year	2021
title	Kerf Bending and Zipper-in Spatial Timber Tectonics
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 354-361.
doi	https://doi.org/10.52842/conf.acadia.2021.354
summary	Space frames are widely used in spatial constructions as they are lightweight, rigid, and efficient. However, when it comes to the complex and irregular spaces frames, they can be difficult to fabricate because of the uniqueness of the nodes and bars. This paper presents a novel timber space frame system that can be easily manufactured using 3-axis CNC machines, and therefore increase the ease of the design and construction of complex space frames. The form-finding of the space frame is achieved with the help of polyhedral graphic statics (PGS), and resulted form has inherent planarity which can be harnessed in the materialization of the structure. Inspired by the traditional wood tectonics kerf bending and zippers are applied when devising the connection details. The design approach and computational process of this system are described, and a test fabrication of a single node is made via 3-axis CNC milling and both physically and numerically tested. The structural performance shows its potentials for applications in large-scale spatial structures.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia21_512
id	acadia21_512
authors	Liu, Zidong
year	2021
title	Topological Networks Using a Sequential Method
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 512-519.
doi	https://doi.org/10.52842/conf.acadia.2021.512
summary	The paper shares preliminary results of a novel sequential method to expand existing topology-based generative design. The approach is applied to building an interactive community design system based on a mobile interface. In the process of building an interactive design system, one of the core problems is to harness the complex topological network formed by user demands. After decades of graph theory research in architecture, a consensus on self-organized complex networks has emerged. However, how to convert input complex topological data into spatial layouts in generative designs is still a difficult problem worth exploring. The paper proposes a way to simplify the problem: in some cases, the spatial network of buildings can be approximated as a collection of sequences based on circulation analysis. In the process of network serialization, the personalized user demands are transformed into activity patterns and further into serial spaces. This network operation gives architects more room to play with their work. Rather than just designing an algorithm that directly translates users’ demands into shape, architects can be more actively involved in organizing spatial networks by setting up a catalogue of activity patterns of the residents, thus contributing to a certain balance of top-down order and bottom-up richness in the project. The research on data serialization lays a solid foundation for the future exploration of Recurrent Neural Network (RNN) applied to generative design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_396
id	caadria2021_396
authors	Liu, Jie, Wang, Yuechen and Zhu, Ning
year	2021
title	Cycling Virtual Tour - A Remote Online Travel System Based On Interactive Technologies And Its User Experience Evaluation
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 243-252
doi	https://doi.org/10.52842/conf.caadria.2021.2.243
summary	Virtual reality has been widely adopted into various fields of human life. It is entering the world of tourism to remote places. This paper proposes a brand-new interaction design system for remote online virtual tourism based on bicycle riding behavior and projection mapping technologies. Through the user experience evaluation experiments of this system, the research found that this interactive system can effectively improve the realism and sense of the presence of the virtual environment. It can also enhance the delectation and satisfaction of the virtual tour. At the same time, this system can reduce the simulator syndrome which plays as a common problem in the traditional virtual tour experience.
keywords	interaction design; immersive environment; virtual tour; user experience
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2022_157
id	caadria2022_157
authors	Liu, Sijie, Wei, Ziru and Wang, Sining
year	2022
title	On-site Holographic Building Construction: A Case Study of Aurora
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 405-414
doi	https://doi.org/10.52842/conf.caadria.2022.2.405
summary	Geometrically complex building components‚ reliance on high-touch implementation often results in tedious information reprocessing. Recent use of Mixed Reality (MR) in architectural practices, however, can reduce data translation and potentially increase design-to-build efficiency. This paper uses Aurora, a single-story residential building for 2021 China‚s Solar Decathlon Competition, as a demonstrator to evaluate the performance of on-site holographic building construction. This paper firstly reviews recent studies of MR in architectural design and practice. It then describes an MR-aided construction process of Aurora's non-standard building envelope and rooftop mounting structure, where in-situ holographic registration, human-machine cooperation, and as-built analysis are discussed. This paper concludes by stating that MR technologies provide unskilled implementers with a handy approach to materialise complex designs. The research was guided by the UN Sustainable Development Goals, especially aligning with the GOAL 9 which seeks innovations in industry and infrastructure.
keywords	Mixed Reality, Non-standard Architecture, Low-tech Construction, Solar Decathlon Competition, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2021_064
id	caadria2021_064
authors	Yang, Chunxia, Liu, Mengxuan, Zhan, Ming, Lyu, Chengzhe and Fan, Zhaoxiang
year	2021
title	Research on the Influence of Microclimate on Recreation Behavior in Urban Waterfront Public Space - Based on Multi-agent Behavior Simulation
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 417-426
doi	https://doi.org/10.52842/conf.caadria.2021.2.417
summary	Microclimate is one of the important components of the city environment. Previous researches on public space focused on the influence of spatial forms on user behavior, while ignoring the microclimate elements. This makes it difficult to be authentic of further recreational behavior simulation. The study puts forward a new path to study the influence of microclimate on recreational behavior. Taking the waterfront public space as an example, through the combination of field investigation and microclimate simulation, the influence of wind, temperature, and sunshine environment on residents recreational is explored, and the influence will be merged into the recreational behavior simulation. In the process of behavior simulation, the microclimate environment classification evaluation map is used. The study committed to achieve a higher degree of adaption between behavior simulation results and actual conditions. The study introduced microclimate influence factors on the basis of the influence of urban spatial form and service facility elements on behavior activities in the past. Based on that, we optimize the simulation method of urban public space recreational behavior, and improve the accuracy of space diagnosis through showing the impact of microclimate on the behavior of people in the space more objectively and intuitively.
keywords	Behavior simulation; Microclimate; Waterfront public space
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_075
id	caadria2021_075
authors	Yang, Chunxia, Lyu, Chengzhe, Yao, Ziying and Liu, Mengxuan
year	2021
title	Study on the Differences of Day and Night Behavior in Urban Waterfront Public Space Based on Multi-agent Behavior Simulation
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 559-568
doi	https://doi.org/10.52842/conf.caadria.2021.2.559
summary	In the twenty-four hour city era, how to optimize public spaces based on night behavior demands to promote full-time use has become a significant issue of urban design. Taking Shanghai North Bund as an example, the study collects data through site survey and questionnaire including environment elements, users attribute and behaviors. Next, the study sets up the simulation environment and translate the interaction of space and behavior into model language. Then, by setting up agent particles, running and fitting, the study obtains an ideal model. Finally, through sub-simulation and analysis, the study quantitatively explores the interaction mechanism between the physical environment and behavior from three levels of different spaces, different groups of people and different light conditions. The study finds that the differences of day and night behavior are produced under the combined effect of changes in attractiveness of environmental elements and changes in users demands and preferences. Compared with adults, the behaviors of elderly people and children show more obvious differences between day and night, and are more susceptible to space lighting, ground conditions and operating hours of facilities. Furthermore, the same kind of environment element will further affect users behavior in the night under different light conditions.
keywords	Self-Organization Behavior; Behavior Differences; Day and Night; Multi-Agent Behavior Simulation; Waterfront Public Space
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cdrf2021_242
id	cdrf2021_242
authors	Waishan Qiu , Wenjing Li, Xun Liu, and Xiaokai Huang
year	2021
title	Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_23
summary	Recently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
series	cdrf
last changed	2022/09/29 07:53

_id	ecaade2021_223
id	ecaade2021_223
authors	Liu, Jie
year	2021
title	From Physiology to Architecture - The methodology for interactive architecture behavior design
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 195-204
doi	https://doi.org/10.52842/conf.ecaade.2021.1.195
summary	Interactive architectural design is a booming topic in current architectural research, which requires thinking about how to realize buildings provide various spatial services according to users' needs. In the human-building interaction (HBI) design, the architectural behavior design plays as one of the most relevant and essential parts of architectural space design. HBI design requires the establishment of a standard behavioral language system for architecture and people. Therefore, this paper proposes that the design of architectural behavior can mimic human behavior at the physiological level, thus making it easier for people to understand the behavior of architecture. The paper systematically analyzes the design methods and design routes to build muscular and glandular systems for architecture through some case studies.
keywords	interactive architecture; human-building interaction; design methodology
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2021_247
id	ecaade2021_247
authors	Wibranek, Bastian, Liu, Yuxi, Funk, Niklas, Belousov, Boris, Peters, Jan and Tessmann, Oliver
year	2021
title	Reinforcement Learning for Sequential Assembly of SL-Blocks - Self-interlocking combinatorial design based on Machine Learning
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 27-36
doi	https://doi.org/10.52842/conf.ecaade.2021.1.027
summary	Adaptive reconfigurable structures are seen as the next big step in the evolution of architecture. However, to achieve this vision, new tools are required that enable autonomous configuration of given elements based on a specified design objective. Various approaches have been considered in the past, ranging from rule-based methods to evolutionary optimization. Although successful in applications where search heuristics or informative objective functions can be provided, these methods struggle with long-term planning problems. In this paper, we tackle the problem of sequential assembly of SL-blocks which has the character of a combinatorial optimization problem. We explore the applicability of deep reinforcement learning algorithms that recently showed great success on combinatorial problems in other domains, such as board games and molecular design. We highlight the unique challenges presented by the architectural design setting and compare the performance to evolutionary computation and heuristic search baselines.
keywords	Reinforcement Learning; Architectural Assembly; Discrete Design; SL-blocks; Dry Joined
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2021_027
id	ecaade2021_027
authors	Yuan, Chao, Zhang, Xiao, Zeng, Shaoting, Yang, Liu, Zhao, Zhilong and Qiu, Song
year	2021
title	Topology Reconstruction of a Discontinuous B-rep Geometry by using Form Finding Method
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 371-380
doi	https://doi.org/10.52842/conf.ecaade.2021.2.371
summary	In the field of industrial manufacturing and building design procedure, B-Rep (Boundary Representation) model is often used to design and fabricate building components or molds, but in the finite element analysis(FEA) procedure, engineers often need to use the F-Rep (Functional Representation) model files. So, converting two file formats back and forth from one to another is a very important topic in architectural design and manufacturing process. However, there are still some limitations to carry out the conversation process efficiently on discontinuous B-rep geometries with existing software and plug-ins. In this paper, authors introduce an efficient retopology method with kangaroo physics plug-in based on Rhino platform to convert a B-Rep file into a F-Rep file (a continuous uniform mesh infinitely approached to the original geometry with a controllable face numbers) within limited steps. Thus, designers and engineers can do creative parametric design or finite element analysis continuously without surface boundary limitation. Furthermore, the mesh converted by the method introduced in the paper has a better regularity on each single face and better homogeneity of all faces than the built-in "QuadRemesh" function in Rhino-7.
keywords	Form-finding; Retopology; Mesh Mapping; Finite Element Analysis; Shape Quality
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2021_047
id	ecaade2021_047
authors	Zhang, Xiao, Yuan, Chao, Yang, Liu, Yu, Peiran, Ma, Yiwen, Qiu, Song, Guo, Zhe and Yuan, Philip F.
year	2021
title	Design and Fabrication of Formwork for Shell Structures Based on 3D-printing Technology
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 487-496
doi	https://doi.org/10.52842/conf.ecaade.2021.1.487
summary	Shell structure is a kind of structure using a small amount of materials to obtain a large-span multi-functional space. However, lots of formwork and scaffold materials are often wasted in the construction process. This paper focuses on the shell structure construction using robotic 3D printing PLA (an environmental friendly material) technology as the background. The author explores the possibility of 3D printing technology in shell construction from small scale models in different construction method, and gradually optimizes the shell template shape suitable for PLA material in full-scale construction. Finally, the research team chose the bending-active 3D printing type and completed the construction of three full-scale concrete shell molds. Under the guidance of professor Philippe Block, the research team finished the final 3D printing mold with optimized slicing and bending logic and successfully used it as the template mold to carry the tiles which proved the feasibility of this construction method.
keywords	Shell structure ; Formwork ; Geometric analysis; Form-finding; 3d printing
series	eCAADe
email
last changed	2022/06/07 07:57

_id	cdrf2021_168
id	cdrf2021_168
authors	Hainan Yan1, Yiting Zhang, Sheng Liu, Ka Ming Cheung, and Guohua Ji
year	2021
title	Optimization of Daylight and Thermal Performance of Building Façade: A Case Study of Office Buildings in Nanjing
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_16
summary	In China’s hot summer and cold winter areas, the façade design of buildings needs to respond to a variety of performance objectives. This study focuses on the optimization of daylight and solar radiation of building façade of office buildings in Nanjing and proposes a simple and efficient method. The method mainly includes a random sampling of design models, simplified operation of daylight performance criteria and selection of optimal solution. The results show that the building façade can improve the indoor lighting uniformity and reduce the indoor illumination level compared with the unshaded reference building. Besides, the amount of solar radiation received by office buildings in summer and winter becomes more balanced with the building façade. The optimization design method of building façade proposed in this study can be of guiding significance for office buildings in Nanjing.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ijac202119103
id	ijac202119103
authors	Liu, Jingyang; Yi-Chin Lee, and Daniel Cardoso Llach
year	2021
title	Computational design and fabrication of highly customizable architectural space frames: Making a flat-cut Weaire-Phelan structure
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 37–49
summary	This paper documents a computational approach to the design, fabrication, and assembly of customizable space structures built entirely out of flat-cut interlocking elements without the need of nodes, fasteners, cement, or glue. Following a Research by Design (RbD) methodology, we establish a framework comprising geometric and parametric modeling, structural analysis, and digital fabrication stages to examine the following research question: how might the modularity of a construction kit be combined with the plasticity of parametric descriptions to facilitate the design and fabrication of flat-cut space structures? We find that an adaptive joint design that resolves local deformations at the node and element levels can facilitate the construction of flat-cut space structures by making modular components responsive to local geometric, material, and mechanical demands. The research centers on the design and construction of an architecture-scale installation based on the Weaire-Phelan structure—an aperiodic space-filling geometric structure that approximates the geometry of foam—entirely out of flat-cut interlocking elements. Documenting the process in technical detail, as well as some limitations, the paper contributes to recent efforts to develop digital materials suitable for architectural applications. In addition, it contributes to extend the formal and architectural possibilities of flat-cut space structure design by facilitating “bottom-up” design explorations in concert with the structure’s tectonic resolution.
keywords	Computational design, generative fabrication, construction kit
series	journal
email
last changed	2021/06/03 23:29

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