A simple machine learning-based framework for faster multi-scale simulations of path-independent materials at large strains
Coupled multi-scale finite element analyses have gained traction over the last years due to the increasing available computational resources. Nevertheless, in the pursuit of accurate results within a reasonable time frame, replacing these high-fidelity micromechanical simulations with reduced-order...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |