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

Authors:
Windo Hutabarat;Geoffrey T. Parks;Jerome P. Jarrett;William N. Dawes;P. John Clarkson
Affiliations:
Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, UK;Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, UK;Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, UK;Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, UK;Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, UK
Venue:
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Year:
2007

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Abstract

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