Summary

The growing interest in Topological Optimization (TO) in recent years is undeniable. In particular, this paper focuses on the Solid Isotropic Material Penalization (SIMP) method, broadly used because of its simple formulation and efficiency, and how h-adaptive mesh refinement in the context of the Cartesian grid finite element method, cgFEM, can improve its performance. This paper will present a combination of three methodologies based on mesh h-adaptation in cgFEM (whose hierarchical mesh and data structures are especially efficient in TO) to overcome two disadvantages of the SIMP method related to the lack of sharpness in the definition of the boundary and the influence of the finite element (FE) discretization on the final solution: 1) Use of two mesh levels: i) a mesh for the FE analysis and ii) a refined mesh, not only for integration and calculation of sensitivities but also to enhance sharpness of the boundary representation at a marginal computational cost. 2) Use a density-based refinement: a sharper boundary definition will be obtained using a basic technique where elements with intermediate density values are refined. 3) Use of solution-based refinement: the numerical solution obtained by the use of a h-adaptive analysis technique based on a recovery-type error estimator guaranties that an accurate evaluation of stress values is considered in stress-constrained TO.

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Published on 21/06/21
Accepted on 21/06/21
Submitted on 21/06/21

Volume MS04 - Fictitious Domain: Methods and Applications, 2021
DOI: 10.23967/admos.2021.046
Licence: CC BY-NC-SA license

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