Aerodynamic topology optimisation using an implicit representation and a multiobjective genetic algorithm

Conference paper (2008)

Authors

Windo Hutabarat University of Cambridge
Geoffrey T. Parks University of Cambridge
Jerome P. Jarrett University of Cambridge
W. N. Dawes University of Cambridge
P.J. Clarkson University of Cambridge
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Published Date

2008

Language

English

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Abstract

Given the focus on incremental change in existing empirical aerodynamic design methods, radical, unintuitive, new optimal solutions in previously unexplored regions of design space are very unlikely to be found using them. We present a framework based on an implicit shape representation and a multiobjective evolutionary algorithm that aims to produce a variety of optimal flow topologies for a given requirement, providing designers with insights into possibly radical solutions. A revolutionary integrated flow simulation system developed specifically for design work is used to evaluate candidate designs.