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Journal Articles Computer Methods in Applied Mechanics and Engineering Year : 2024

Data-driven micromorphic mechanics for materials with strain localization

Jacinto Ulloa
  • Function : Author
Michael Ortiz
José Andrade
  • Function : Author

Abstract

This paper explores the role of generalized continuum mechanics, and the feasibility of model-free data-driven computing approaches thereof, in solids undergoing failure by strain localization. Specifically, we set forth a methodology for capturing material instabilities using data-driven mechanics without prior information regarding the failure mode. We show numerically that, in problems involving strain localization, the standard data-driven framework for Cauchy/Boltzmann continua fails to capture the length scale of the material, as expected. We address this shortcoming by formulating a generalized data-driven framework for micromorphic continua that effectively captures both stiffness and length-scale information, as encoded in the material data, in a model-free manner. These properties are exhibited systematically in a one-dimensional softening bar problem and further verified through selected plane-strain problems.
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Dates and versions

hal-04642798 , version 1 (10-07-2024)

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Jacinto Ulloa, Laurent Stainier, Michael Ortiz, José Andrade. Data-driven micromorphic mechanics for materials with strain localization. Computer Methods in Applied Mechanics and Engineering, 2024, 429, pp.117180. ⟨10.1016/j.cma.2024.117180⟩. ⟨hal-04642798⟩
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