Computational Homogenization of Polycrystals

Segurado, Javier; Lebensohn, Ricardo A.; Llorca, Javier

doi:10.1016/bs.aams.2018.07.001

Title: Computational Homogenization of Polycrystals

Journal Article · 17 October 2018 · Advances in Applied Mechanics

DOI: https://doi.org/10.1016/bs.aams.2018.07.001 · OSTI ID:1480031

Segurado, Javier ^[1];

^[2]; Llorca, Javier ^[1]

IMDEA Materials Institute, Madrid (Spain); Polytechnic Univ. of Madrid, Madrid (Spain)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

This paper reviews the current state of the art in the simulation of the mechanical behavior of polycrystalline materials by means of computational homogenization. The key ingredients of this modeling strategy are presented in detail starting with the parameters needed to describe polycrystalline microstructures and the digital representation of such microstructures in a suitable format to perform computational homogenization. The different crystal plasticity frameworks that can describe the physical mechanisms of deformation in single crystals (dislocation slip and twinning) at the microscopic level are presented next. This is followed by the description of computational homogenization methods based on mean-field approximations by means of the viscoplastic self-consistent approach, or on the full-field simulation of the mechanical response of a representative polycrystalline volume element by means of the finite element method or the fast Fourier transform-based method. Multiscale frameworks based on the combination of mean-field homogenization and the finite element method are presented next to model the plastic deformation of polycrystalline specimens of arbitrary geometry under complex mechanical loading. Examples of application to predict the strength, fatigue life, damage, and texture evolution under different conditions are presented to illustrate the capabilities of the different models. Lastly, current challenges and future research directions in this field are summarized.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1480031

Report Number(s):: LA-UR-18-23540

Journal Information:: Advances in Applied Mechanics, Vol. in press, Issue 0; ISSN 0065-2156

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 74 works

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