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Computational Mechanics

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16-03-2023 | Original Paper

Virtual clustering analysis for long fiber reinforced composites

Authors: Yang Yang, Tongrui Liu, M. H. Aliabadi, Shaoqiang Tang

Published in: Computational Mechanics | Issue 6/2023

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Abstract

Virtual clustering analysis (VCA) is an effective data-driven numerical homogenization method. In its original version (Tang et al. in Comput Mech 62(6):1443–1460, 2018), a homogeneous reference material is selected, and the governing system of heterogeneous material is reformulated into a Lippmann–Schwinger equation. For effective treatment of representative volume element (RVE) where long fibers penetrate the matrix, we propose to introduce an inhomogeneous reference material in this work. Since analytical expressions are not available in general, the interaction tensor and reference strain field are computed numerically. We validate the consistency with the original version of VCA in the first example, and demonstrate the effectiveness of the proposed strategy by several numerical examples. While better resolving the boundary traction, the proposed virtual clustering analysis for long fiber reinforced composites (VCA-L) algorithm correctly predicts homogenized properties in numerical tests.

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Title: Virtual clustering analysis for long fiber reinforced composites
Authors: Yang Yang
Tongrui Liu
M. H. Aliabadi
Shaoqiang Tang
Publication date: 16-03-2023
Publisher: Springer Berlin Heidelberg
Published in: Computational Mechanics / Issue 6/2023
Print ISSN: 0178-7675
Electronic ISSN: 1432-0924
DOI: https://doi.org/10.1007/s00466-023-02290-2

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