4.7 Article

Multiscale numerical strategy for micromorphic description of quasi-brittle media from classical elastic damage models at the microscale

期刊

APPLIED MATHEMATICAL MODELLING
卷 109, 期 -, 页码 52-76

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2022.03.036

关键词

Micromorphic continuum; Multiscale numerical strategy; Classical constitutive parameters; Regularization effects

资金

  1. CAPES (Coordenacao de Aperfeicoamento de Pessoal de N?vel Superior)
  2. FAPEMIG (Fundacao de Amparo Pesquisa do Estado de Minas Gerais)
  3. CNPq (Conselho Nacional de Desenvolvimento Cientfico e Tecnologico)

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This paper presents a multiscale numerical strategy to obtain a macroscopic micromorphic description of a continuum. The strategy utilizes classical constitutive parameters and a cubic displacement ansatz to achieve the macroscopic micromorphic material response.
The formulation of the micromorphic continuum theory and its finite element approach are well-established, however, the physical interpretation and determination of the large number of constitutive parameters of this theory limit its practical application. In this sense, this paper presents a multiscale numerical strategy to obtain a macroscopic mi-cromorphic description of the continuum from a proposed solution to the boundary value problems at the microscale governed by the classical continuum theory. Consequently, the micromorphic analysis is performed adopting well-known material parameters. To obtain the macroscopic micromorphic material response based on classical constitutive parame-ters, an approach which employs a cubic displacement ansatz is derived from a micro-morphic homogenization framework proposed in the literature. To illustrate the capacity of the strategy to reproduce a micromorphic description adopting classical material pa-rameters, the approach is implemented in an finite element code to demonstrate that the method overcomes the spurious mesh dependency of classical models of quasi-brittle dam-age due to regularization effects in localization problems achieved with generalized con-tinuum models.(c) 2022 Elsevier Inc. All rights reserved.

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