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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	caadria2021_354
id	caadria2021_354
authors	Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year	2021
title	Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
doi	https://doi.org/10.52842/conf.caadria.2021.2.549
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. 549-558
summary	With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords	multi-source big data; Central Activities Zone; Vitality; Lujiazui
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_110
id	caadria2021_110
authors	Bao, Ding Wen, Yan, Xin, Snooks, Roland and Xie, Yi Min
year	2021
title	SwarmBESO: Multi-agent and evolutionary computational design based on the principles of structural performance
doi	https://doi.org/10.52842/conf.caadria.2021.1.241
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 241-250
summary	This paper posits a design approach that integrates multi-agent generative algorithms and structural topology optimisation to design intricate, structurally efficient forms. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency. Both multi-agent algorithms and Bi-directional evolutionary structural optimisation (BESO) (Huang and Xie 2010), are emerging techniques that have significant potential in the design of form and structure.This research proposes a structural behaviour feedback loop through encoding BESO structural rules within the logic of multi-agent algorithms. This hybridisation of topology optimisation and swarm intelligence, described here as SwarmBESO, is demonstrated through two simple structural models. The paper concludes by speculating on the potential of this approach for the design of intricate, complex structures and their potential realisation through additive manufacturing.
keywords	Swarm Intelligence; Multi-agent; BESO (bi-directional evolutionary structural optimisation); Intricate Architectural Form; Efficient Structure
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2021_160
id	caadria2021_160
authors	Ding, Jie and Xiang, Ke
year	2021
title	The influence of spatial geometric parameters of Glazed-atrium on office building energy consumption in the hot summer-warm winter region of China
doi	https://doi.org/10.52842/conf.caadria.2021.1.391
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 391-400
summary	To investigate the influence of the spatial geometric parameters of glazed-atrium on building energy consumption, this study established a prototypical office building model in the hot summer-warm winter region in China, and simulated the effect of energy consumption of six selected factors based on orthogonal experimental design (OED). Through the statistical analysis, the results showed that the floor height and the skylight-roof ratio were the most important parameters affecting the total energy consumption, with the contribution rates of 55.5% and 18.2%, followed by the section shape parameter and the plane orientation. In addition, the floor height and the section shape parameter were closely related to the cooling load and the lighting load, respectively, and both energy consumption could be reduced to a lower degree when the atrium inner interface window-wall ratio was 60%. Finally, the optimized parameter combination and energy-saving design strategies were proposed. This study provides architects with a simplified energy evaluation of atrium spatial geometric parameters in the early design stage, and it has an important guiding significance for the sustainable development of office buildings in the future.
keywords	Energy consumption; Spatial geometric factors; Glazed atrium; Office building; Hot summer–warm winter region
series	CAADRIA
email
last changed	2022/06/07 07:55

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