2016
DOI: 10.1007/s00158-016-1642-8
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Shape optimization of microstructural designs subject to local stress constraints within an XFEM-level set framework

Abstract: The present paper investigates the tailoring of bimaterial microstructures minimizing their local stress field exploiting shape optimization. The problem formulation relies on the extended finite element method (XFEM) combined with a level set representation of the geometry, to deal with complex microstructures and handle large shape modifications while working on fixed meshes. The homogenization theory, allowing extracting the behavior of periodic materials built from the repetition of a representative volume… Show more

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Cited by 35 publications
(23 citation statements)
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“…20 More recent studies have concerned multiple materials and inclusions. [21][22][23] There are also publications covering other fields of engineering, such as fluid flow, 24,25 electrostatics, 26 and magnetic actuators. 27 However, to the authors' best knowledge, there does not seem to be any previous study on level-set-based optimization using finite element methods on fixed meshes for wave propagation problems.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…20 More recent studies have concerned multiple materials and inclusions. [21][22][23] There are also publications covering other fields of engineering, such as fluid flow, 24,25 electrostatics, 26 and magnetic actuators. 27 However, to the authors' best knowledge, there does not seem to be any previous study on level-set-based optimization using finite element methods on fixed meshes for wave propagation problems.…”
Section: Introductionmentioning
confidence: 99%
“…30 The choice of parametrization of the geometry to be optimized is crucial, since the optimization algorithm can only explore the chosen parameter space. Therefore, instead of parametrizing the design by a set of geometric primitives, 16,17,23 or an explicit boundary representation, 1 and thus bias the optimization, we choose to discretize the level-set function and use its nodal values as parameters. 11,19,20 Smoothing, or filtering, together with regularization is often applied to shape and topology optimization problems to promote smooth designs, control the feature size, counteract mesh dependence, and improve the convergence rate.…”
Section: Introductionmentioning
confidence: 99%
“…This approach is particularly suited to optimization as it uses a mesh that does not conform to the shape of the microstructure, thereby bypassing mesh distortion issues associated with other shape optimization methods. Other optimization studies of PUCs are available in the literature [25][26][27][28] but these studies are based on weakly discontinuous (C 0 ) interface enrichment functions used to model perfect (nonfailing) interfaces.…”
Section: Introductionmentioning
confidence: 99%
“…This can be rather a simple task for structural optimization techniques [1]. Structural optimization methods can be broadly divided into three categories, namely, size optimization [2], shape optimization [3,4], and topology optimization [5][6][7][8][9][10][11] methods.…”
Section: Introductionmentioning
confidence: 99%