Adjoint-based methods to compute higher-order topological derivatives with an application to elasticity

被引:5
|
作者
Baumann, Phillip [1 ]
Sturm, Kevin [1 ]
机构
[1] TU Wien, Inst Anal & Sci Comp, Vienna, Austria
基金
奥地利科学基金会;
关键词
Topological derivative; Topology optimisation; Elasticity; SENSITIVITY-ANALYSIS; ASYMPTOTIC-EXPANSION; LAGRANGIAN APPROACH; OPTIMIZATION; DIFFERENTIABILITY; INCLUSION;
D O I
10.1108/EC-07-2021-0407
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose The goal of this paper is to give a comprehensive and short review on how to compute the first- and second-order topological derivatives and potentially higher-order topological derivatives for partial differential equation (PDE) constrained shape functionals. Design/methodology/approach The authors employ the adjoint and averaged adjoint variable within the Lagrangian framework and compare three different adjoint-based methods to compute higher-order topological derivatives. To illustrate the methodology proposed in this paper, the authors then apply the methods to a linear elasticity model. Findings The authors compute the first- and second-order topological derivatives of the linear elasticity model for various shape functionals in dimension two and three using Amstutz' method, the averaged adjoint method and Delfour's method. Originality/value In contrast to other contributions regarding this subject, the authors not only compute the first- and second-order topological derivatives, but additionally give some insight on various methods and compare their applicability and efficiency with respect to the underlying problem formulation.
引用
收藏
页码:60 / 114
页数:55
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