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	caadria2023_111
id	caadria2023_111
authors	Fan, Zhaoxiang, Tang, Shuoning and Liu, Mengxuan
year	2023
title	Multi-Objective Optimization of Gymnasium Layout Based on Genetic Algorithm – Balance of Energy Consumption and Indoor Thermal Comfort
doi	https://doi.org/10.52842/conf.caadria.2023.2.603
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. 603–612
summary	Multi-functional complexes have gradually become a new trend in the development of gymnasiums. Different types of layout patterns, such as space combination, space depth ratio, and atrium forms, will have a more obvious impact on the indoor energy consumption and comfort of the gymnasium. The genetic algorithm SPEA-2 and the Pareto optimal multi-objective optimization workflow were introduced in this study to help architects improve the layout design of the gymnasium in the early design stage. This workflow can optimize radiation energy load and indoor thermal comfort by adjusting plan parameters. The study combined with test cases to explore the Pareto frontier solution set (30 generations) of the layout morphological parameters?LMP? under different layout combination modes, and to explore in which combination mode, the energy load and the indoor thermal environment comfort can achieve a relative balance. Part of the optimal solution is selected for quantitative analysis of the performance improvement ratio, so as to verify the simulation test results.
keywords	Morphological layout, Genetic Algorithm, Energy Load Analysis, Indoor Comfort, Multi-objective Optimization (MOO)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_114
id	caadria2023_114
authors	Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang
year	2023
title	Behaviour Simulation Optimization Based on the Influence of Microclimate on Crowd Perception – A Case Study of Urban Waterfront Public Space
doi	https://doi.org/10.52842/conf.caadria.2023.2.019
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. 19–28
summary	The outdoor behaviour is usually influenced by space and environment. Previous studies on behaviour simulation of outdoor space always focused on the influence of two-dimensional space, but did not take the microclimate perceived into account. However, the microclimate of outdoor public spaces has a strong influence on the activities, which makes the subsequent behaviour simulation results unable to fit well with the reality. Therefore, this research attempts to integrate the influence of space and microclimate perception of crowd into behaviour simulation system. Firstly, we explored the laws of behaviour in terms of seasons, weekdays/weekends, and time slices. Secondly, the multiple linear regression equations of the influence of space and microclimate on behaviour were established. In addition, combining the laws and models with the social force model, a behaviour simulation model in public space under the joint influence of microclimate and space was established. Finally, a comprehensive workflow combining microclimate simulation and behaviour simulation was proposed. The research promoted the application and development of behaviour simulation technology from strong-purpose behaviours to weak-purpose and non-purpose behaviours. Moreover, starting from human behaviour and perception, it provides support for the optimization of urban public space from the bottom up.
keywords	Behaviour Simulation, Microclimate Perception, Outdoor Activities, Public Space
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ijac202321307
id	ijac202321307
authors	Yang, Qing; Chu-Fan Cao; Hai-Miao Li; Wai-Shan Qiu; Wen-Jing Li; Dan Luo
year	2023
title	Is greenery green? An analytical comparison between the planned, visual, and perceived green
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 3, 498–515
summary	This research established a comprehensive evaluation system for urban ecological assessment. Through research in the fields of urban planning, urban design, and cognitive psychology, this paper defines three ecological evaluation indexes correspondingly. They measure the vegetation coverage of land (planning green), the visibility of vegetation from the pedestrian’s viewpoint (visual green), and the psychological perception of greenery by human (perceived green). This study uses computerized parametric analysis, computerized deep learning, data visualization, and statistical methods to achieve an accurate description of the three evaluation indicators. This study assumes that the three green values may behave consistently or inconsistently at each point. Therefore, this study, on the one hand, tries to analyze the potential factors affecting each green indicator. On the other hand, by analysing the consistency or discrepancy of the three green values, this research revealed the potential link between urban spatial type and integrated ecological properties. Four areas of Brisbane dominated by different functions were selected for this study (Red Hill and Bardon for residential areas, Brisbane City for downtown CBD, and Woolloongabba for industrial areas). The results of the study demonstrate the credibility and applicability of the three green indicators in different areas, examine the various factors affecting ecology, and provide new design strategies and ideas for urban designers
keywords	Urban green space, urban ecology, street view image, green perception, subjective measurement
series	journal
last changed	2024/04/17 14:30

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