An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis

Qu, Tongming; Feng, Yuntian; Wang, Min

doi:10.1002/nme.6620

An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis

Journal Article · Tue Jan 05 00:00:00 EST 2021 · International Journal for Numerical Methods in Engineering

DOI:https://doi.org/10.1002/nme.6620· OSTI ID:1774465

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Swansea Univ., Wales (United Kingdom)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

The hierarchical multiscale analysis normally utilizes a microscopic representative volume element (RVE) model to capture path/history-dependent macroscopic responses instead of using phenomenological constitutive models. However, for problems involving large deformation, the current RVE model used in geomechanics may lose representative properties due to the progressive distortion of the RVE box, unless a proper reinitialization is applied. This work develops an adaptive RVE model in conjunction with an evolutionary periodic boundary (EPB) algorithm for hierarchical multiscale analysis of granular materials undergoing large deformation based on a recent RVE model proposed for coupling molecular dynamics and the material point method. The proposed adaptive RVE model avoids the reinitialization of the RVE box that even undergoes extremely large shear deformation; meanwhile, it accounts for the deformation history of the RVE model and treats the interaction between boundary particles and other image particles in a more efficient way. Numerical examples with extremely large deformation are used to illustrate the adaptive granular RVE model enhanced by the proposed EPB algorithm. Furthermore, some key features of this new methodology are further discussed for clarification.

View Accepted Manuscript (DOE)

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

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1774465

Report Number(s):: LA-UR--20-29782

Journal Information:: International Journal for Numerical Methods in Engineering, Journal Name: International Journal for Numerical Methods in Engineering Journal Issue: 9 Vol. 122; ISSN 0029-5981

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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42 ENGINEERING
adaptive representative volume element
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An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis

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