Baumann, P., & Sturm, K. (2021). Adjoint-based methods to compute higher-order topological derivatives with an application to elasticity. Engineering Computations, 39(1), 60–114. https://doi.org/10.1108/ec-07-2021-0407
Computer Science Applications; Software; General Engineering; Computational Theory and Mathematics; Elasticity; Topological derivative; Topology optimisation
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Abstract:
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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Forschungsschwerpunkte:
Fundamental Mathematics Research: 50% Computational Materials Science: 50%