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	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
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. 574-583.
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_046
id	caadria2020_046
authors	Alva, Pradeep, Lee, Han Jie, Lin, Zhuoli, Mehta, Palak, Chen, Jielin and Janssen, Patrick
year	2020
title	Geo-computation for District Planning - An Agile Automated Modelling Approach
doi	https://doi.org/10.52842/conf.caadria.2020.1.793
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. 793-802
summary	This paper focuses on developing a novel geo-computational methodology for automating the generation of design options for district planning. The knowledge contribution focuses on the ability of the planners and designers to interact with and override the automated process. This approach is referred to as "agile automated modelling". The approach is demonstrated through a case study in which three adjacent districts are generated with a total area of approximately 1300 hectares. An automated modelling process is implemented based on a set of core planning principles established by the planners. The automated process generates street networks, land parcels, and 3-dimensional urban models. The process is broken down into three steps and users are then able to intervene at the end of every step to override and modify the outputs. This aims to help planners and designers to iteratively generate and assess various planning outcomes.
keywords	Geo-computation; procedural modelling; GIS; planning automation; neural network
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2020_214
id	ecaade2020_214
authors	Chen, Hsien and Hsu, Pei-Hsien
year	2020
title	Data Mining as a User-oriented Tool in Participatory Urban Design
doi	https://doi.org/10.52842/conf.ecaade.2020.1.011
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. 11-18
summary	In this research, we did the datamining to the POI(point-of-interest) of the city, and shows how Popular times data and NPL(Natural language processing) analysis transformed user data into new tools of participatory design of urban planning. After analyzing and visualizing the popular time data of the city POI, we showed the city users' preferred place to go at different point in time. And this will figured out that at some time, same type of POI has different using condition. Based on above mentioned, we used NPL to analyze user reviews to find out the causes and provide planning suggestions. This method can offer planner a chance to understand the experience of city user at the planning stage. Comparing to the traditional method, fetching data from the social platform could be able to get the daily preference, perspective and emotion of the users, and these data can make the result of participatory urban planning accord with the demand of the users.
keywords	Popular times; NLP; Social Media; Urban Design Tool; Smart Cities
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2020_128
id	caadria2020_128
authors	Chen, Zi-Ru
year	2020
title	The Guidance System of Gamification and Augmented Reality in a Museum Space
doi	https://doi.org/10.52842/conf.caadria.2020.1.671
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. 671-680
summary	Gamification is the application of game-oriented design approaches or game-inspired mechanics to otherwise non-game contexts. Mobile guiding system is the design process of information interactions. It is the integration of information design, interaction design, and sensorial design. The e-learning system of mobile guide is able to be loaded gamification concepts and let mobile learning interestingly, diversely, and validly. The problem of the research was if we combined the concept of gamification design into museum guide services with augmented reality for non-commercial purposes, it also provided the same benefits to the promotion of museum learning and knowledge, integrating mobile devices as navigation media. It would improve more users to participate in a museum and use the guide system actively, and then arise their interest and achievement. The result was to establish a preliminary model for developing a museum mobile guide system of gamification design and augmented reality.
keywords	Gamification; Museum Learning; Multimedia Guided System; Augmented Reality
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2020_126
id	caadria2020_126
authors	Hsiao, Chi-Fu, Lee, Ching-Han, Chen, Chun-Yen and Chang, Teng-Wen
year	2020
title	A Co-existing Interactive Approach to Digital Fabrication Workflow
doi	https://doi.org/10.52842/conf.caadria.2020.1.105
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. 105-114
summary	In recent years, digital fabrication projects have explored how to best present complex spatial patterns. These patterns are generated by a series of function clusters and need to be separated into reasonable working sequences for workers. In the stage between design and fabrication, designers and workers typically spend considerable time communicating with each other and prototyping models in order to understand the complex geometry and joint methods of fabrication works. Through the potential of mixed reality technology, this paper proposes a novel form of co-existing interactive workflow that helps designers understand the morphing status of material composition and assists workers in achieving desired results. We establish this co-existing workflow mechanism as an interface between design and reality that includes a HoloLens display, a parametric algorithm, and gesture control identification. This paper challenges the flexibility between the virtual and reality and the interaction between precise parameters and natural gestures within an automation process.
keywords	Co-existing interactive workflow; Digital fabrication; HoloLens; Digital twin; Prototype
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	cdrf2019_229
id	cdrf2019_229
authors	Jingyi Li and Hong Chen
year	2020
title	Optimization and Prediction of Design Variables Driven by Building Energy Performance—A Case Study of Office Building in Wuhan
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_22
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	This research focuses on the energy performance of office building in Wuhan. The research explored and predicted the optimal solution of design variables by Multi-Island Genetic Algorithm (MIGA) and RBF Artificial neural networks (RBF-ANNs). Research analyzed the cluster centers of design variable by K-means cluster method. In the study, the RBF-ANNs model was established by 1,000 simulation cases. The RMSE (root mean square error) of the RBF-ANNs model in different energy aspects does not exceed 15%. Comparing to the reference case (the largest energy consumption case in the optimization), the 214 elite cases in RBF-ANNs model save at least 37.5% energy. By the cluster centers of the design variables in the elite cases, the study summarized the benchmark of 14 design variables and also suggested a building energy guidance for Wuhan office building design.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_367
id	caadria2020_367
authors	Ma, Zhichao, Xiao, Yiqiang and Chen, Xiong
year	2020
title	Research on Commercial Space Vitality of Airport Terminal Based on 3D Vision Field Simulation of Pedestrian Flows - Taking Guangzhou Baiyun International Airport Terminal 2 as a Study Case
doi	https://doi.org/10.52842/conf.caadria.2020.1.589
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. 589-598
summary	In recent years, more and more large-scale terminal buildings have emerged. In the design and construction of the terminal, how to increase the non-aeronautical revenue of the terminal has become one of the difficulties and priorities. The commercial vitality is one of the important factors influencing non-aeronautical revenue of the terminal. There is a correlation between passenger flows and commercial space vitality. So it is necessary to analyze the impact of pedestrian flows on commercial space vitality. The commercial space vitality can be evaluated by the vision dwell time on the shop surfaces. This paper focused on the relationship between passenger flows and commercial space vitality at the terminal. We modeled and simulated the domestic mixed-flow hall of Baiyun airport terminal 2 in Massmotion. After the pedestrian 3D vision field simulation, Vision Time Maps were exported to assess the commercial space vitality. After comparing the survey results with simulation results, we can conclude that the mixing of multiple pedestrian flows can improve the commercial space vitality of the airport terminal.
keywords	3D vision field simulation; Airport terminal commercial space vitality; Guangzhou Baiyun International Airport Terminal 2 ; Pedestrian Flow
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ijac202018407
id	ijac202018407
authors	Marcelo Bernal, Victor Okhoya, Tyrone Marshall, Cheney Chen and John Haymaker
year	2020
title	Integrating expertise and parametric analysis for a data-driven decision-making practice
source	International Journal of Architectural Computing vol. 18 - no. 4, 424–440
summary	This study explores the integration of expert design intuition and parametric data analysis. While traditional professional design expertise helps to rapidly frame relevant aspects of the design problem and produce viable solutions, it has limitations in addressing multi-criteria design problems with conflicting objectives. On the other hand, parametric analysis, in combination with data analysis methods, helps to construct and analyze large design spaces of potential design solutions and tradeoffs, within a given frame. We explore a process whereby expert design teams propose a design using their current intuitive and analytical methods. That design is then further optimized using parametric analysis. This study specifically explores the specification of geometric and material properties of building envelopes for two typically conflicting objectives: daylight quality and energy consumption. We compare performance of the design after initial professional design exploration, and after parametric analysis, showing consistently significant performance improvement after the second process. The study explores synergies between intuitive and systematic design approaches, demonstrating how alignment can help expert teams efficiently and significantly improve project performance.
keywords	Performance analysis, parametric analysis, design space, design expertise, data analysis, optimization
series	journal
email
last changed	2021/06/03 23:29

_id	ecaade2020_323
id	ecaade2020_323
authors	Nan, Mingyue, Chen, Zhenfang, Liu, Liwei and Baharlou, Ehsan
year	2020
title	Hygrosensitive Kinetic Facade - A full-scale meteorosensitive shading system based on wood's self-actuated hygroscopic behavior
doi	https://doi.org/10.52842/conf.ecaade.2020.1.133
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. 133-142
summary	This research project presents a meteorosensitive kinetic façade system that passively responds to environmental Relative Humidity (RH) fluctuation by employing wood's natural hygroscopic behavior. The global shape-shifting performance is based on the combination of a series of predetermined local hygroscopic behaviors and modified by designated surface configuration. The façade system will pack itself when the environmental RH increases and unpack itself when the environmental RH decreases. This research project entails five key stages: (1) material system research; (2) development of a computational tool for simulation and iterations; (3) development and examination of joinery system; (4) prototyping with the maple-spruce bilayer in different scales; and (5) the final development and fabrication of a mesoscale hygrosensitive façade.
keywords	Building envelope system; hygroscopic behavior; adaptive architecture; bi-laminated wood material; kinetic façade
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2020_284
id	ecaade2020_284
authors	Tan, Rachel, Patt, Trevor, Koh, Seow Jin and Chen, Edmund
year	2020
title	Exploration & Validation - Making sense of generated data in large option sets
doi	https://doi.org/10.52842/conf.ecaade.2020.1.653
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. 653-662
summary	The project is a real-world case study where we advised our client in the selection of a viable and well-performing design from a set of computationally generated options. This process was undertaken while validating the algorithmic generative process and user-defined evaluation criteria through scrutinizing the other alternative options to ensure ample variability was considered. Optimisation algorithms were not ideal as low performing options were not visible to validate variability. We established variability by extracting the different groups of options, proving to the client that various operational behaviours were present and accounted for. In order to sieve through the noise and derive meaningful results, we employed methods to filter through thousands of options, including: k-means clustering, archetypal labelling and analysis, pareto front analysis and visualisation overlays. We present a sense-making and decision-making process that utilizes principles of genetic algorithms and analysis of multi-dimensional user-derived evaluation scores. To enable the client's confidence in the computational model, we proved the effectiveness of the generative model through communicating and visualizing the impact of different criterias. This ensured that operational needs were considered. The visualization methods we employed, including pareto front extraction and analysis eventually helped our clients to arrive at a decision.
keywords	generative design; validation; multi-objective optimisation; k-means; pareto front; decision-making
series	eCAADe
email
last changed	2022/06/07 07:56

_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_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	caadria2020_203
id	caadria2020_203
authors	Xiao, Yahan, Chen, Sen, Ikeda, Yasushi and Hotta, Kensuke
year	2020
title	Automatic Recognition and Segmentation of Architectural Elements from 2D Drawings by Convolutional Neural Network
doi	https://doi.org/10.52842/conf.caadria.2020.1.843
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. 843-852
summary	The BIM modeling process is the most time-consuming aspect. This paper studies the possibility of applying the recognition and segmentation of architectural components by deep learning to assist automatic BIM modeling. The research has two parts: the first one is dataset preparing, that images with the labeled architectural components from an original CAD drawing are made for the network training, and second is training and testing, that a mature network which has been trained in hundreds of labeled images is used to make predictions. The utilization of the current study results is discussed and the optimization method as well.
keywords	BIM; CAD drawings; Recognition and Segmentation; Convolutional Neural Network; Computer vision
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2020_298
id	ecaade2020_298
authors	Zhang, Ye, Zhang, Kun, Chen, KaiDi and Xu, Zhen
year	2020
title	Source Material Oriented Computational Design and Robotic Construction
doi	https://doi.org/10.52842/conf.ecaade.2020.2.443
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. 443-452
summary	The disconnection between architectural form and materiality has become an important issue in recent years. Architectural form is mainly decided by the designer, while material data, for example, the natural shape of source materials, is often treated as an afterthought which doesn't factor in decision-making directly. This study proposes a new, real-time scanning-modeling system for obtaining material information, and incorporating the data into a continuous digital chain of computational design and robotic construction. After collecting and visualizing the data, the calculation portion of the chain processes the selection of source materials and generates architectural geometry based on both human-designed rules and various shapes of materials. Finally, at the action end of the chain, an industry robot is used to fabricate the design. End-effector is designed for tightly gripping the irregular source materials. Scripts is written in Grasshopper for positioning the components and assemble them into configurations. This study also shows a pavilion developing with the continuous digital chain
keywords	scanning-modeling system; source material information; computational design; robotic construction
series	eCAADe
email
last changed	2022/06/07 07:57

_id	cdrf2019_208
id	cdrf2019_208
authors	Zhijia Chen, Weixin Huang, and Ziniu Luo
year	2020
title	embedGAN: A Method to Embed Images in GAN Latent Space
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_20
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	GAN is an efficient generative model. By performing a latent walk in GAN, the generation result can be adjusted. However, the latent walk cannot start from a selected image. The embedGAN is proposed to embed selected images into GAN and remain the generation effect. It contains an embedded network and a generative network. Application cases of residential interior design are given in the article. With advantages of a low computing cost and short training time, embedGAN shows its potential. The embedGAN algorithm framework can be applied to various GANs.
series	cdrf
email
last changed	2022/09/29 07:51

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