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CAD-Based Aerodynamic Design of Complex Configurations Using a Cartesian Method
Author(s) -
Marian Nemec,
Michael J. Aftosmis,
Thomas H. Pulliam
Publication year - 2004
Publication title -
42nd aiaa aerospace sciences meeting and exhibit
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2004-113
Subject(s) - aerodynamics , cad , solver , cartesian coordinate system , computer science , modular design , parametric statistics , topology (electrical circuits) , parametric design , genetic algorithm , mathematical optimization , topology optimization , flow (mathematics) , computational science , engineering drawing , mathematics , geometry , aerospace engineering , engineering , structural engineering , finite element method , programming language , statistics , combinatorics , machine learning
1 Abstract A modular framework for aerodynamic optimization of complex geometries is developed. By working directly with a parametric CAD system, complex-geometry models are modified and tessellated in an automatic fashion. The use of a component-based Cartesian method significantly reduces the demands on the CAD system, and also provides for robust and efficient flowfield analysis. The optimization is controlled using either a genetic or quasi‐Newton algorithm. Parallel efficiency of the framework is maintained even when subject to limited CAD resources by dynamically re-allocating the processors of the flow solver. Overall, the resulting framework can explore designs incorporating large shape modifications and changes in topology.

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