Adaptive Computation of Elliptic Eigenvalue Topology Optimization with a Phase-Field Approach

Fuente: arXiv
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Hauptverfasser: Li, Jing, Xu, Yifeng, Zhu, Shengfeng
Format: Preprint
Veröffentlicht: 2023
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author Li, Jing
Xu, Yifeng
Zhu, Shengfeng
author_facet Li, Jing
Xu, Yifeng
Zhu, Shengfeng
contents In this paper, we discuss adaptive approximations of an elliptic eigenvalue optimization problem in a phase-field setting by a conforming finite element method. An adaptive algorithm is proposed and implemented in several two dimensional numerical examples for illustration of efficiency and accuracy. Theoretical findings consist in the vanishing limit of a subsequence of estimators and the convergence of the relevant subsequence of adaptively-generated solutions to a solution to the continuous optimality system.
format Preprint
id arxiv_https___arxiv_org_abs_2310_03970
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Adaptive Computation of Elliptic Eigenvalue Topology Optimization with a Phase-Field Approach
Li, Jing
Xu, Yifeng
Zhu, Shengfeng
Numerical Analysis
49M05, 49M41, 65N12, 65N20, 65N30, 65N50
In this paper, we discuss adaptive approximations of an elliptic eigenvalue optimization problem in a phase-field setting by a conforming finite element method. An adaptive algorithm is proposed and implemented in several two dimensional numerical examples for illustration of efficiency and accuracy. Theoretical findings consist in the vanishing limit of a subsequence of estimators and the convergence of the relevant subsequence of adaptively-generated solutions to a solution to the continuous optimality system.
title Adaptive Computation of Elliptic Eigenvalue Topology Optimization with a Phase-Field Approach
topic Numerical Analysis
49M05, 49M41, 65N12, 65N20, 65N30, 65N50
url https://arxiv.org/abs/2310.03970