Shape optimization of an electric motor subject to nonlinear magnetostatics
The goal of this paper is to improve the performance of an electric motor by modifying the
geometry of a specific part of the iron core of its rotor. To be more precise, the objective is to …
geometry of a specific part of the iron core of its rotor. To be more precise, the objective is to …
An introduction to the topological derivative
S Amstutz - Engineering Computations, 2022 - emerald.com
Purpose This paper provides a self-contained introduction to the mathematical aspects of
the topological derivative. Design/methodology/approach Full justifications are given on …
the topological derivative. Design/methodology/approach Full justifications are given on …
Topological sensitivity analysis in heterogeneous anisotropic elasticity problem. Theoretical and computational aspects
The topological sensitivity analysis for the heterogeneous and anisotropic elasticity problem
in two-dimensions is performed in this work. The main result of the paper is an analytical …
in two-dimensions is performed in this work. The main result of the paper is an analytical …
A simplified derivation technique of topological derivatives for quasi-linear transmission problems
In this paper we perform the rigorous derivation of the topological derivative for optimization
problems constrained by a class of quasi-linear elliptic transmission problems. In the case of …
problems constrained by a class of quasi-linear elliptic transmission problems. In the case of …
Adjoint-based methods to compute higher-order topological derivatives with an application to elasticity
P Baumann, K Sturm - Engineering Computations, 2022 - emerald.com
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 …
compute the first-and second-order topological derivatives and potentially higher-order …
Toplogical derivative for nonlinear magnetostatic problem
P Gangl, S Amstutz - arXiv preprint arXiv:1811.08715, 2018 - arxiv.org
The topological derivative represents the sensitivity of a domain-dependent functional with
respect to a local perturbation of the domain and is a valuable tool in topology optimization …
respect to a local perturbation of the domain and is a valuable tool in topology optimization …
Topological sensitivities via a Lagrangian approach for semilinear problems
K Sturm - Nonlinearity, 2020 - iopscience.iop.org
In this paper we present a methodology that allows the efficient computation of the
topological derivative for semilinear elliptic problems within the averaged adjoint …
topological derivative for semilinear elliptic problems within the averaged adjoint …
Asymptotic analysis and topological derivative for 3D quasi-linear magnetostatics
In this paper we study the asymptotic behaviour of the quasilinear curl-curl equation of 3D
magnetostatics with respect to a singular perturbation of the differential operator and prove …
magnetostatics with respect to a singular perturbation of the differential operator and prove …
From shape variation to topological changes in constrained minimization: a velocity method-based concept
M Hintermüller, VA Kovtunenko - Optimization Methods and …, 2011 - Taylor & Francis
The ability of velocity methods to describe changes in topology by creating defects such as
holes is investigated. For shape optimization, energy-type objective functions are …
holes is investigated. For shape optimization, energy-type objective functions are …
A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem
In this paper we develop a reconstruction algorithm for the solution of an inverse boundary
value problem dealing with a semilinear elliptic partial differential equation of interest in …
value problem dealing with a semilinear elliptic partial differential equation of interest in …