2017
DOI: 10.5802/smai-jcm.27
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Shape optimisation with the level set method for contact problems in linearised elasticity

Abstract: Abstract. This article is devoted to shape optimisation of contact problems in linearised elasticity, thanks to the level set method. We circumvent the shape non-differentiability, due to the contact boundary conditions, by using penalised and regularised versions of the mechanical problem. This approach is applied to five different contact models: the frictionless model, the Tresca model, the Coulomb model, the normal compliance model and the Norton-Hoff model. We consider two types of optimisation problems i… Show more

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Cited by 19 publications
(20 citation statements)
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“…Other objective functions or mechanical constraints for which shape derivatives are available (see e.g. [22]) could be optimized, particularly the contact pressure. Different models could be accommodated in our setting, like free or forced vibrations.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Other objective functions or mechanical constraints for which shape derivatives are available (see e.g. [22]) could be optimized, particularly the contact pressure. Different models could be accommodated in our setting, like free or forced vibrations.…”
Section: Discussionmentioning
confidence: 99%
“…The derivation of the above adjoint equation has been performed in [22]. The weak form of ( 17) reads: find p ∈ V such that…”
Section: Adjoint Statementioning
confidence: 99%
“…Gradient-based optimisation is used for the optimisation. Considering contact problems, the problem of TO has been addressed in a quasi-static context in [30][31][32]. The objective of this study is to perform TO for the optimisation of nonlinear dynamic systems in the presence of a friction interface, which has never been done before according to the knowledge of the authors.…”
Section: Introductionmentioning
confidence: 99%
“…Challenging scenarios are the ones in which the geometry of the domain can vary and it is potentially the unknown of the problem to be solved. This is common to several fields of research such as shape optimisation ( [10,11,12]), inverse scattering problems ( [13]), geometry morphometrics ( [14,15]). Moreover, a variable domain is challenging for projection based ROM for which, typically, a basis of space functions is defined on a given domain.…”
Section: Introductionmentioning
confidence: 99%