Performative Computation-aided Design Optimization

Main Article Content

Ming Tang
Jonathon Anderson
Ajla Aksamija
Michael Hodge

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.

Article Details

How to Cite
Tang, M., J. Anderson, A. Aksamija, and M. Hodge. “Performative Computation-Aided Design Optimization”. ENQUIRY: The ARCC Journal, Vol. 9, no. 1, Dec. 2012, doi:10.17831/enq:arcc.v9i1.68.
Section
Peer Reviewed Papers