LEVEL SET-BASED TOPOLOGY OPTIMIZATION USING NONLINEAR PROGRAMMING: A PRELIMINARY STUDY
DOI:
https://doi.org/10.26512/ripe.v2i28.14453Abstract
Abstract. We investigate the numerical performance of a structural optimization method based on the level-set approach and using nonlinear programming. Besides the method of the moving asymptotes (MMA) and a globally convergent modification of it with a spectral correction, we have also considered sequential quadratic programming and interior-point methods as the nonlinear programming driving tools. We remark that the original formulation of the topology optimization problem may be addressed, without any need to penalize the constraints. The method was applied to the solution of some classical problems from the literature and the results obtained are encouraging. Keywords: Nonlinear programming, Level-set methods, Topology optimization, Structural optimizationDownloads
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