2019
DOI: 10.1553/etna_vol51s169
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Topological derivative for the nonlinear magnetostatic problem

Abstract: 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. Motivated by an application from electrical engineering, we derive the topological derivative for an optimization problem which is constrained by the quasilinear equation of two-dimensional magnetostatics. Here, the main ingredient is to establish a sufficiently fast decay of the variation of the direct state at scale 1 as |x|… Show more

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Cited by 18 publications
(29 citation statements)
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“…In this section, we show a way to approximately evaluate formula (4.2) by first precomputing certain values in an offline phase and looking them up and interpolating them during the online phase of the optimization algorithm. We proceed in an analogous way to [4], Section 7.…”
Section: Numerical Realizationmentioning
confidence: 99%
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“…In this section, we show a way to approximately evaluate formula (4.2) by first precomputing certain values in an offline phase and looking them up and interpolating them during the online phase of the optimization algorithm. We proceed in an analogous way to [4], Section 7.…”
Section: Numerical Realizationmentioning
confidence: 99%
“…The magnetization is supported in the permanent magnets Ω 2 ⊂ D ∖ Ω. In this particular application, which was also treated in a two-dimensional setting in [4,14], we assume the currents to be switched off, i.e., = 0 and therefore treat Ω 1 as air.…”
Section: Physical Modelingmentioning
confidence: 99%
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