Busca avançada
Ano de início
Entree


An abstract Lagrangian framework for computing shape derivatives

Texto completo
Autor(es):
Laurain, Antoine ; Lopes, Pedro T. P. ; Nakasato, Jean C.
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS; v. 29, p. 35-pg., 2023-01-11.
Resumo

In this paper we study an abstract framework for computing shape derivatives of functionals subject to PDE constraints in Banach spaces. We revisit the Lagrangian approach using the implicit function theorem in an abstract setting tailored for applications to shape optimization. This abstract framework yields practical formulae to compute the derivative of a shape functional, the material derivative of the state, and the adjoint state. Furthermore, it allows to gain insight on the duality between the material derivative of the state and the adjoint state. We show several applications of this method to the computation of distributed shape derivatives for problems involving linear elliptic, nonlinear elliptic, parabolic PDEs and distributions. We also compare our approach with other techniques for computing shape derivatives including the material derivative method and the averaged adjoint method. (AU)

Processo FAPESP: 22/08112-1 - Perturbação de domínio em equações diferenciais parciais
Beneficiário:Jean Carlos Nakasato
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 19/15200-1 - Operadores pseudo-diferenciais e suas aplicações em equações de evolução
Beneficiário:Pedro Tavares Paes Lopes
Modalidade de apoio: Auxílio à Pesquisa - Regular