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Differentiable and Quasi-Differentiable Methods for Optimal Shape Design in Aerospace

Differentiable and Quasi-Differentiable Methods for Optimal Shape Design in Aerospace

This video was recorded at International Workshop on Machine Learning for Aerospace, Marseille 2009. Optimal shape design can be approached either as an unknown boundary problems as done for most problems of fluid dynamics or as an unknown domain problem as done in structural mechanics for topological optimization. We shall present both methods together with some applications in aerospace. Problems are discretized by the finite element method; differentiable optimization is used when possible and pseudo differentiable methods for topological optimization. Shape optimization is usually computer intensive and parallel computing is a necessity. While evolutionary methods have an edge, gradient methods can be parallelized by domain decomposition just as well. But sensitivity evaluation is too... Show More
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