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文章基本信息

  • 标题:Performative Computation-aided Design Optimization
  • 本地全文:下载
  • 作者:Ming Tang ; Jonathon Anderson ; Ajla Aksamija
  • 期刊名称:Enquiry : The ARCC Journal of Architectural Research
  • 印刷版ISSN:2329-9339
  • 出版年度:2012
  • 卷号:9
  • 期号:1
  • 页码:62-67
  • DOI:10.17831/enq:arcc.v9i1.68
  • 出版社:Architectural Research Centers Consortium
  • 摘要:This article discusses a collaborative research and teaching project between the University of Cincinnati, Perkins Will’s Tech Lab, and the University of North Carolina Greensboro.The primary investigation focuses on the simulation, optimization, and generation of architectural designs using performance-based computational design approaches.The projects examine various design methods, including relationships between building form, performance and the use of proprietary software tools for parametric design.
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