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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	caadria2023_246
id	caadria2023_246
authors	Li, Chenxiao, Bao, Ding Wen, Yan, Xin, Wu, Renhu and He, Chenming
year	2023
title	A Nature-Inspired Experimental Method for Re-Generating Porous Architectural Systems Based on Environmentally Data-Driven Performance
doi	https://doi.org/10.52842/conf.caadria.2023.1.271
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 271–280
summary	Weathering scenery, as one of the most representative time-consuming natural features, is associated with many characteristics through aspects of specialized morphology, porosity, adaptability, and regenerative ability. Because of its unique porous structure and majestic, randomly three-dimensional composition, it has inspired lots of creations in industrial design, art crafts, and graphic design fields. But in architectural generative design, very limited projects are related to weathering. However, in recent decades, the advancements in computer-aided design tools have made it possible to implement rigorous computational methods in complex geometrical systems. This research tries to learn from the weathering evolution and apply the characteristics in the pursuit of enriching nature-inspired architecture. The experiments will focus on one specific weathering behavior, using wind-blown particles as weathering agents, and introduce an experimental method of generating the performance-based porosity architectural system responding to environmental agents’ effects. Computational Fluid Dynamics (CFD), Bi-Directional Evolutionary Structural Optimization (BESO), and Swarm Intelligence are employed to negotiate between surface, structure, and environmental space. This study of the porosity architectural system is concerned not only with discovering new possibilities for intricate and complex nature-inspired architectural forms, but also with negotiating and considering humans and nature as equal decision-makers.
keywords	Porosity, Topology Optimization, Bi-directional Evolutionary Structural Optimization (BESO), Swarm Intelligence, Computational Fluid Dynamics (CFD), Nature-inspired Form-Finding
series	CAADRIA
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last changed	2023/06/15 23:14

_id	acadia23_v2_582
id	acadia23_v2_582
authors	Wu, Kaicong; Li, Chenming; Su, Wenjun
year	2023
title	The Chair Game Experiment: Transforming Multiplayer Design Processes with Text-to-Image Generation and 2D-to-3D Modelling
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 582-595.
summary	The urgency for an inclusive architectural design process in conceptualizing the built environment stems from the need to establish effective communication between under- represented groups and design professionals. However, various challenges hinder the development of an inclusive design process that accommodates diverse stakeholders. Individual designers or selective design teams are frequently limited by their own visions, causing them to potentially overlook alternative solutions. Moreover, stakeholders who lack professional training might struggle to articulate their expectations. The emergence of generative AI (artificial intelligence) technologies has significantly reduced the tech- nical barriers in design, and has empowered non-professionals to vividly express their ideas regarding forms and spaces. This has presented a valuable opportunity to better understand the perspectives of underrepresented groups through visual representations. Therefore, this research aims to explore the impact of image generation on the democ- ratization of the design process. Using chair design as a testing ground, we propose an evolutionary computing framework that simulates interactions among designers and participants empowered by emerging AI technologies. To investigate the potential impact of image generation, we have implemented a multiplayer design game to allow computing agents to compete in exploring 3D chair forms. Through this approach, we aim to gain insights into how image generation influences design decisions, whether it generates more diversified solutions, and what values could be introduced into the built environment.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:13

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