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IASS-SLTE Symposium 2014: Shells, Membranes and Spatial Structures: Footprints


IASS Symposium 2014

SESSION: Structural Morphology 1: Design and Engineering Computing

Performance-based design of a self standing building skin; A methodology to integrate structural and daylight performance in a form exploration process

< Table of Contents for Structural Morphology 1: Design and Engineering Computing
  • Proceedings Name: IASS-SLTE Symposium 2014: Shells, Membranes and Spatial Structures: Footprints
  • ISSN: (Electronic Version) 2518-6582
  • Session: Structural Morphology 1: Design and Engineering Computing
  • Title: Performance-based design of a self standing building skin; A methodology to integrate structural and daylight performance in a form exploration process
  • Author(s): Azadeh OMIDFAR, Omid OLIYAN TORGHABEHI, Peter VON BUELOW
  • Keywords: form finding, optimization, daylight simulation, climate based metric, genetic algorithm
Abstract
This paper investigates the ways in which interdisciplinary integration and performance optimization of a self-standing skin can be synthesized and systematized to efficiently generate and evaluate a diverse range of design options. This research project presents a multi-objective optimization model which is used for form exploration that could assist designers and engineers in creating performance driven design. This research project focuses on the design and environmental performance of a self-standing skin to optimize the performance of existing buildings in New York City. With increased sophistication of digital tools to assess daylight, environmental and structural performance of building skins, a great potential exists to optimize the performance of existing contemporary buildings. This study applies environmental and structural analysis software to optimize the integrated performance of a skin façade of a typical office building located in New York, NY. The geometry of the skin structure is created by a parametric model guided by the performance values associated with structure, daylight, and radiation control. The multi-objective optimization and exploration employs a genetic based method, ParaGen, developed at the University of Michigan.

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