rvesimulator: An automated representative volume element simulator for data-driven material discovery
Submission Track: Tutorials
Submission Category: AI-Guided Design + Automated Material Characterization
Keywords: Data-generation, Representative Volume Element, Finite Element Method, Aumated Material Discovery
Abstract: The rvesimulator aims to provide a user-friendly, automated Python-based framework conducting Representative Volume Element (RVE) simulation via powerful Finite Element Method (FEM) software Abaqus. By utilizing this repository, large amount of reliable FEM data-set generation is possible with RVEs encompassing materials from elastic to plastic composites. rvesimulator provides: (1) a cross-platform function to run arbitrary Python-Abaqus script without graphical user interface (GUI), it offers users a convenience way to run their unique scripts; (2) Python-Abaqus scripts to simulate RVE with different design of experiments including various micro-structures, material laws, and loading; (3) benchmarks of running prevalent RVEs covering elastic, hyper-elastic, plastic materials are provided, which illustrates the general pipeline (preprocess, execution, and postprocess) of the developed framework. By sharing the developing framework, we are aiming to reduce the labor-intensive process of generating massive of simulations data for new materials and structure discovery. Therefore, it facilitates the application and development of machine learning method for new material discovery.
Digital Discovery Special Issue: Yes
Submission Number: 15
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