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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.
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页码:60 / 114
页数:55
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