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Generative Design in the Built Environment
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AI
DOI：10.1016/j.autcon.2024.105638.png)
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摘要
En 中文
Generative design (GD) has gained widespread attention in the built environment domain, revolutionising traditional methodologies in the field. It operates on a set of rules, utilising algorithmic and parametric modelling techniques to explore and enhance design options. By determining the existing challenges and ongoing research in 85 representative papers, this paper seeks to explore the implications of GD within built environment, sustainability, BIM, and AI design practices, clarifying its potential to shape a more sustainable, resilient, and inclusive built environment for future generations. It contributes to the dialogue surrounding the utilisation of GD as a tool for building and infrastructure design practices via a content analysis-based review method. Incorporating advanced technologies could facilitate a more effective and immediate response to design methodologies, thus promoting enhanced innovation and sustainability in design practices. The selection of, and proficiency in, programming languages constitute important aspects in advancing GD aligned with built environment objectives.
Keyword:
Generative design
Building information modelling (BIM)
Sustainability
Artificial intelligence (AI)
Built environment
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期刊
IF:
11.5
论文数:
6.3K
被引数:
4.2W
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