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<p>This work presents a novel ABAQUS-Voronoi toolbox for generating polycrystalline representative volume elements (RVEs) specifically designed for the modeling of thin metal sheets. Developed in Python and fully integrated into the ABAQUS/CAE Graphical User Interface (GUI), the toolbox introduces a key innovation, which consists in the direct application of Voronoi-like partition to pre-existing finite element meshes. The proposed toolbox provides two main modules: a general module for rapid RVE generation and a user-defined module for importing external seeds. This toolbox enables the construction of RVEs with complex features, such as voids, non-cubic geometries, and gradient or columnar grain morphologies. The toolbox performance is demonstrated within a multiscale framework based on the Crystal Plasticity Finite Element Method (CPFEM). Results confirm its flexibility and robustness, showing that the generated RVEs can successfully predict the overall trends of the macroscopic mechanical response of polycrystalline aggregates.</p>

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Flexible Generation of Polycrystalline Representative Volume Elements on Pre-Meshed Geometries: A Novel ABAQUS Toolbox for Crystal Plasticity Simulations

  • 期刊论文

  • 发表日期：

    2026年6月19日

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  • Shuai Zhou,
  • Mohamed Ben Bettaieb,
  • Fraid Abed-Meraim

摘要

This work presents a novel ABAQUS-Voronoi toolbox for generating polycrystalline representative volume elements (RVEs) specifically designed for the modeling of thin metal sheets. Developed in Python and fully integrated into the ABAQUS/CAE Graphical User Interface (GUI), the toolbox introduces a key innovation, which consists in the direct application of Voronoi-like partition to pre-existing finite element meshes. The proposed toolbox provides two main modules: a general module for rapid RVE generation and a user-defined module for importing external seeds. This toolbox enables the construction of RVEs with complex features, such as voids, non-cubic geometries, and gradient or columnar grain morphologies. The toolbox performance is demonstrated within a multiscale framework based on the Crystal Plasticity Finite Element Method (CPFEM). Results confirm its flexibility and robustness, showing that the generated RVEs can successfully predict the overall trends of the macroscopic mechanical response of polycrystalline aggregates.