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Article
Performative Computation-Aided Design Optimization
Architectural Research Centers Consortium (ARCC) Journal (2013)
  • Ajla Aksamija, University of Massachusetts - Amherst
  • Ming Tang, University of Cincinnati - Main Campus
  • Mike Hodge
  • Jonathon Anderson, University of North Carolina at Greensboro
Abstract
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.
Keywords
  • design computation,
  • modeling,
  • performance,
  • parametric design
Publication Date
2013
Citation Information
Ajla Aksamija, Ming Tang, Mike Hodge and Jonathon Anderson. "Performative Computation-Aided Design Optimization" Architectural Research Centers Consortium (ARCC) Journal Vol. 9 Iss. 1 (2013)
Available at: http://works.bepress.com/ajla_aksamija/10/