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	acadia23_v2_384
id	acadia23_v2_384
authors	Vakhshouri, Pouria; Luo, Jingyu; Su, Shuoxuan; Tang, Haohan; Wang, Bentian; Faircloth, Billie; King, Nathan; Stuart-Smith, Robert
year	2023
title	Ceramic Forest: Robotic Die-Extrusion Variable Forming for Architectural Ceramics
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 384-395.
summary	Extrusion is a well-established industrial production technique for making ceramic clay parts in high-volume, mass-production lines, using an auger to push the clay out from a reservoir through a die profile onto a conveyor belt. While the method enables elaborately profiled extrusions, the extrusion and die allow for no degree of variability across the production of several parts. Ceramic Forest explores how robotic fabrication and clay extrusion techniques can be integrated into a variable production process by mounting an extrusion die and extrusion system on an industrial robot end-of-arm tool. Experiments exploring fabrication parameters including the clay body water content, die geometry, air pressure, and a robot's motion trajectory were conducted, and demonstrated the merits of the approach. The fabrication method is also demonstrated through the production of a series of geometrically distinctive parts that are utilized in a full-scale, assembled, façade screen prototype. A computational design method was also developed for an architectural façade screen that generates design outcomes that align with the research’s established fabrication constraints. Together, these developments demonstrate an approach to die-formed ceramic extrusion and an aligned computational design tool for its use on architectural façade screens.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	caadria2023_359
id	caadria2023_359
authors	Wang, Xiao, Tang, Peng and Cai, Chenyi
year	2023
title	Traditional Chinese Village Morphological Feature Extraction and Cluster Analysis Based on Multi-source Data and Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2023.1.179
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. 179–188
summary	This study of traditional village morphology provides a possible entry point for understanding the growth patterns of settlements for sustainable development. This study proposes a hybrid data-driven approach to support quantitative morphological descriptions and to further morphology-related studies using open-source map data and deep learning approaches. We construct a dataset of 6819 traditional villages on the Chinese official list with geometrical, geographic and related no-material information. The images containing village buildings combined with roads or other environments are represented in binary to explore the integrated influence of these elements. The neural network is implemented to quantify the morphological features into feature vectors. After dimension reduction, cluster analysis is conducted by calculating the distance between the feature vectors to reveal five main types of Chinese traditional village patterns. The proposed method considers their overall spatial form and other factors such as size, transportation, graphical structure, and density. At the same time, it explores a framework using machine learning in the conservation and renewal work. And it also shows the possibility of data-driven methods for design and decision making.
keywords	Cluster analysis, traditional village, morphology, multi-source data, machine learning, rural development
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	architectural_intelligence2023_1
id	architectural_intelligence2023_1
authors	Qiwei Song, Zhiyi Dou, Waishan Qiu, Wenjing Li, Jingsong Wang, Jeroen van Ameijde & Dan Luo
year	2023
title	The evaluation of urban spatial quality and utility trade-offs for Post-COVID working preferences: a case study of Hong Kong
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00020-x
source	Architectural Intelligence Journal
summary	The formation of urban districts and the appeal of densely populated areas reflect a spatial equilibrium in which workers migrate to locations with greater urban vitality but diminished environmental qualities. However, the pandemic and associated health concerns have accelerated remote and hybrid work modes, altered people's sense of place and appreciation of urban density, and transformed perceptions of desirable places to live and work. This study presents a systematic method for evaluating the trade-offs between perceived urban environmental qualities and urban amenities by analysing post-pandemic urban residence preferences. By evaluating neighbourhood Street View Imagery (SVI) and urban amenity data, such as park sizes, the study collects subjective opinions from surveys on two working conditions (work-from-office or from-home). On this basis, several Machine Learning (ML) models were trained to predict the preference scores for both work modes. In light of the complexity of work-from-home preferences, the results demonstrate that the method predicts work-from-office scores with greater precision. In the post-pandemic era, the research aims to shed light on the development of a valuable instrument for driving and evaluating urban design strategies based on the potential self-organisation of work-life patterns and social profiles in designated neighbourhoods.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	architectural_intelligence2023_17
id	architectural_intelligence2023_17
authors	Si-Yuan Rylan Wang
year	2023
title	Framing responsive architecture with soft robots—the exploratory practice of soft pneumatic robotic architectural system
doi	https://doi.org/https://doi.org/10.1007/s44223-023-00036-x
source	Architectural Intelligence Journal
summary	Inspired by intelligent skin, this research constructs a soft pneumatic robotic architectural system based on the interaction between inflatable material agents and the human body. It aims to provide flexibly changeable scene modes for dynamic inhabiting through responsive spatial performance. From the idea of the Fun Palace and the structure and performance spatial methodology to the proposal of responsive/soft architecture and relevant examples such as Furl and Robot Soft, the literature review provides the foundation and direction for the establishment of research experiments. The research methodology is based on structure and performance, oriented to explore soft material agents, link input information and output modules to realize the manifestation of human-space interaction and spatial performance and assemble the basic configuration of the system. As a result, a synergistic architectural interaction system like a media center that can provide a variety of adaptive space scenes is built, which can realize real-time perception and responsive control of the interactive process, and at the same time provide richness of scene performance beyond established architectural configurations, confirming the possibility of creating a behaviorally responsive architecture by integrating modularly morphing spaces, AI-sensing systems, and interaction technologies. This study explored responsive human settlements by expanding soft pneumatic robots in architecture. It can expand to fields such as machine cognition at the input level, further realize the real-time feedback system at the output level, and can evolve with the information interconnection of urban landscapes and residential communities in terms of spatial interaction. The work gives a convincing vision of architectural intelligence through soft robotics and is expected to continue to develop and bring more inspiring innovations with its integrated methods and connotations.
series	Architectural Intelligence
email
last changed	2025/01/09 15:03

_id	acadia23_v3_39
id	acadia23_v3_39
authors	Goti, Kyriaki; A. Scelsa, Jonathan; Rossi, Natalia; Wang, Wei; Palaci, Arthur
year	2023
title	Bric(k)olage: Spoliated Masonry C+D Waste
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The 2016 US Environmental Protection Agency reported that 23.1 million tons of broken pieces of concrete waste are annually discarded from new construction sites (EPA -2) and in example states in the north american context only 6.6% of C&D concrete is recycled; the rest is thrown out in landfills as it is labeled “contaminated or too hard to process on a large scale.” (CT DOE 25) Relatively little investigation has occurred in how this material could reappear in the architectural project that might honor its intrinsic broken quality as a part of its materiality within a life-cycle of continual usage. This project speaks towards a problematic Habit of the Anthropocene in how we construct buildings placing intrinsic cultural value on new parts over the broken and old due to economic efficiencies.
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

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