Evolutionary Design Processes with Embedded Homeostatic Principles - Adaptation of Architectural Form and Skin to Excessive Solar Radiation

Showkatbakhsh, Milad; Kaviani, Saam; Weinstock, Michael

doi:10.14733/cadaps.2021.914-953

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…This principle is not only applicable to architectural design but also has a profound impact on environmental art design. Showkatbakhsh et al [13] explored the evolutionary design process of embedded steady-state principles and how they affect the adaptation of architectural forms and environmental art design. The principle of embedded steady-state states that a design should be coordinated with the surrounding environment and able to adapt to changes in the environment.…”

Section: Related Workmentioning

confidence: 99%

Enterprise Supply Chain Optimization Algorithm Based on Big Data

Li,

Zhang

et al. 2024

CAD&A

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This article mainly explores the application method and effect of big data algorithms combining environmental art design and CAD technology in design decision-making and constructs a design decision support system integrating data collection, processing, analysis, display, and decision support. To comprehensively evaluate the newly developed algorithm system's performance, this article utilizes a range of testing metrics such as system throughput, algorithm execution time, resource utilization, and algorithm complexity. The conducted experiments reveal that the system's response time remains consistent across varying loads, while its throughput stabilizes after a certain level of concurrency, indicating robust concurrent processing capabilities. Furthermore, both the CPU and memory utilization rates of the system are maintained at low levels. In addition, the execution time of different algorithms is significantly different under the same input data, and the execution time of this algorithm is the shortest, which shows that this algorithm has the highest efficiency when dealing with the same task. Through analysis, the system can realize the deep mining and effective utilization of the data related to environmental art design and provide scientific and intelligent design suggestions for designers, thus improving the accuracy and innovation of design.

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Section: Related Workmentioning

confidence: 99%

Enterprise Supply Chain Optimization Algorithm Based on Big Data

Li,

Zhang

et al. 2024

CAD&A

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Multiobjective Optimization of the Intergenerational Residential Space With the Goal of Daylighting and Thermal Comfort

Wang

Guo

2023

Journal of Green Building

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(1) Background: An ageing population and two-child policy have led to the transformation of China’s family structure, and multigenerational residences account for an increasing proportion of mainstream family residences. Different generations of residents have great differences in behaviour patterns and health requirements, but existing residential buildings are not especially designed for health needs. (2) Methods: First, based on relevant codes and a questionnaire survey, the spatial needs and behaviour patterns of different generations of residents are obtained, and the benchmark model is established based on the Grasshopper (GH) parametric platform. Then, based on the GH platform and the building simulation plug-in, which are Ladybug Tools and a multiobjective optimization tool named Wallacei, daylight autonomy (DA), useful daylight illuminance (UDI), and the proportion of thermal discomfort hours (PDH) are taken as daylighting and thermal comfort indicators, and the bedroom location, orientation, bay size, depth to bay ratio, window form, window-to-wall ratio, and horizontal shading width are optimized. Finally, the Pareto front is analysed by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) comprehensive evaluation method, and the optimal solution is compared with existing multigenerational residences in Tianjin. (3) Results: First, the middle room, oriented south or south by east, large bay, small window-to-wall ratio, and bay window can effectively be improved for indoor thermal comfort, while rooms that are oriented south or south by east, small depth bay ratio, large window-to-wall ratio and balcony can effectively be improved for daylighting quality. Second, compared with existing buildings in Tianjin, the DA, UDI, and PDH of the adult bedroom with the ideal solution are increased by 33.7%, 3.5%, and 10.8%, respectively; the DA, UDI, and PDH of the child bedroom with the ideal solution are increased by 15.5%, 4.2%, and 4.9%, respectively; and the DA, UDI, and PDH of the elderly individual bedroom with the ideal solution are increased by 42.7%, 4.9%, and 1.7%, respectively. (4) Conclusions: The optimization scheme is substantially improved for the health of the indoor daylight and thermal environment of existing housing, and it provides a scientific and quantitative decision-making basis for the healthy design of multigenerational residences.

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Evolutionary Design Processes with Embedded Homeostatic Principles - Adaptation of Architectural Form and Skin to Excessive Solar Radiation

Cited by 2 publications

References 10 publications

Enterprise Supply Chain Optimization Algorithm Based on Big Data

Enterprise Supply Chain Optimization Algorithm Based on Big Data

Multiobjective Optimization of the Intergenerational Residential Space With the Goal of Daylighting and Thermal Comfort

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