2021
DOI: 10.1137/20m1343105
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Shape Derivative for Some Eigenvalue Functionals in Elasticity Theory

Abstract: This work is the second part of a previous paper which was devoted to scalar problems. Here we study the shape derivative of eigenvalue problems of elasticity theory for various kinds of boundary conditions, that is Dirichlet, Neumann, Robin, and Wentzell boundary conditions. We also study the case of composite materials, having in mind applications in the sensitivity analysis of mechanical devices manufactured by additive printing.The main idea, which rests on the computation of the derivative of a minimum wi… Show more

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Cited by 4 publications
(3 citation statements)
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“…Such semi-differentials are of particular importance when dealing with multiple eigenvalues. A systematic approach was developed by several authors to handle such situations; while we refer to section 1.3 for precise references, let us point to [13], which is the most related to our work as it deals with semi-differentials for the linear elasticity system. The first-order optimality conditions for (5) read: if Ω * is a smooth optimal set for any smooth vector field Φ, there holds…”
Section: Main Results Of the Papermentioning
confidence: 99%
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“…Such semi-differentials are of particular importance when dealing with multiple eigenvalues. A systematic approach was developed by several authors to handle such situations; while we refer to section 1.3 for precise references, let us point to [13], which is the most related to our work as it deals with semi-differentials for the linear elasticity system. The first-order optimality conditions for (5) read: if Ω * is a smooth optimal set for any smooth vector field Φ, there holds…”
Section: Main Results Of the Papermentioning
confidence: 99%
“…The relevant formulae will be recalled in the course of this article. In a recent paper, Caubet, Dambrine & Mahadevan [13] developed this semi-differential approach to accomodate the linear elasticity system.…”
Section: Bibliographical Referencesmentioning
confidence: 99%
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