A new approach for simultaneous shape and topology optimization based on dynamic implicit surface function
Xu Guo, Kang Zhao, Michel Wang (2005)
Control and Cybernetics
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Xu Guo, Kang Zhao, Michel Wang (2005)
Control and Cybernetics
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G. Allaire, C. Dapogny, G. Delgado, G. Michailidis (2014)
ESAIM: Control, Optimisation and Calculus of Variations
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We consider the optimal distribution of several elastic materials in a fixed working domain. In order to optimize both the geometry and topology of the mixture we rely on the level set method for the description of the interfaces between the different phases. We discuss various approaches, based on Hadamard method of boundary variations, for computing shape derivatives which are the key ingredients for a steepest descent algorithm. The shape gradient obtained for a sharp interface involves...
François Jouve, Grégoire Allaire, Frédéric de Gournay (2008)
ESAIM: Control, Optimisation and Calculus of Variations
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The goal of this paper is to study the so-called worst-case or robust optimal design problem for minimal compliance. In the context of linear elasticity we seek an optimal shape which minimizes the largest, or worst, compliance when the loads are subject to some unknown perturbations. We first prove that, for a fixed shape, there exists indeed a worst perturbation (possibly non unique) that we characterize as the maximizer of a nonlinear energy. We also propose a stable algorithm to...