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  • 标题:Generative Algorithm for Architectural Design Based on Biomimicry Principles
  • 本地全文:下载
  • 作者:Parag Sarwate ; Akshay Patil
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:8
  • 页码:15232
  • DOI:10.15680/IJIRSET.2016.0508099
  • 出版社:S&S Publications
  • 摘要:Generative algorithm is a tool that allows designers to explore possibilities of parametric design in realmof architecture. The aim of this paper is to understand and explore the application of generative modeling based onbiomimicry principles to architectural design. It is also necessary to explore how the biological principles can beapplied and realized in computational environment with the help of algorithmic approach. This paper outlines therelationship between biomimicry principles, generative algorithm and their architectural applications. The maincontribution of this article is in combining the parametric tools of generative algorithms for the design parameters ofbuilt environment. The paper also investigates new strategies and tools for architectural design that are inspired frombiological processes.
  • 关键词:Biomimicry; Architecture; Generative algorithm; Parametric Modeling.
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