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Licensed Unlicensed Requires Authentication Published online by De Gruyter June 27, 2023

Minimizers of nonlocal polyconvex energies in nonlocal hyperelasticity

  • José C. Bellido , Javier Cueto ORCID logo EMAIL logo and Carlos Mora-Corral

Abstract

We develop a theory of existence of minimizers of energy functionals in vectorial problems based on a nonlocal gradient under Dirichlet boundary conditions. The model shares many features with the peridynamics model and is also applicable to nonlocal solid mechanics, especially nonlinear elasticity. This nonlocal gradient was introduced in an earlier work, inspired by Riesz’ fractional gradient, but suitable for bounded domains. The main assumption on the integrand of the energy is polyconvexity. Thus, we adapt the corresponding results of the classical case to this nonlocal context, notably, Piola’s identity, the integration by parts of the determinant and the weak continuity of the determinant. The proof exploits the fact that every nonlocal gradient is a classical gradient.


Communicated by Ulisse Stefanelli


Award Identifier / Grant number: PID2020-116207GB-I00

Award Identifier / Grant number: PID2021-124195NB-C32

Award Identifier / Grant number: CEX2019-000904-S

Award Identifier / Grant number: SBPLY/19/180501/000110

Award Identifier / Grant number: 2018/11744

Award Identifier / Grant number: 834728

Funding statement: This work has been supported by the Agencia Estatal de Investigación of the Spanish Ministry of Research and Innovation, through projects PID2020-116207GB-I00 (J.C.B. and J.C.), PID2021-124195NB-C32 and the Severo Ochoa Programme for Centres of Excellence in R&D CEX2019-000904-S (C.M.-C.), by Junta de Comunidades de Castilla-La Mancha through project SBPLY/19/180501/000110 and European Regional Development Fund 2018/11744 (J.C.B. and J.C.), by the Madrid Government (Comunidad de Madrid, Spain) under the multiannual Agreement with UAM in the line for the Excellence of the University Research Staff in the context of the V PRICIT (Regional Programme of Research and Technological Innovation) (C.M.-C.), by the ERC Advanced Grant 834728 (C.M.-C.), and by Fundación Ramón Areces (J.C.).

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Received: 2022-10-30
Accepted: 2023-03-16
Published Online: 2023-06-27

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