Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs

• URL: http://arxiv.org/abs/2302.01078v2
• Date: Wed, 3 Jan 2024 20:20:46 GMT
• Title: Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
• Authors: Beichen Li, Bolei Deng, Wan Shou, Tae-Hyun Oh, Yuanming Hu, Yiyue Luo, Liang Shi, Wojciech Matusik
• Abstract summary: Conflict between stiffness and toughness is a fundamental problem in engineering materials design. We introduce a generalizable pipeline that integrates physical experiments, numerical simulations, and artificial neural networks to address both challenges. Our method provides a blueprint for computational design in various research areas beyond solid mechanics.
• Score: 39.393383789980895
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The conflict between stiffness and toughness is a fundamental problem in engineering materials design. However, the systematic discovery of microstructured composites with optimal stiffness-toughness trade-offs has never been demonstrated, hindered by the discrepancies between simulation and reality and the lack of data-efficient exploration of the entire Pareto front. We introduce a generalizable pipeline that integrates physical experiments, numerical simulations, and artificial neural networks to address both challenges. Without any prescribed expert knowledge of material design, our approach implements a nested-loop proposal-validation workflow to bridge the simulation-to-reality gap and discover microstructured composites that are stiff and tough with high sample efficiency. Further analysis of Pareto-optimal designs allows us to automatically identify existing toughness enhancement mechanisms, which were previously discovered through trial-and-error or biomimicry. On a broader scale, our method provides a blueprint for computational design in various research areas beyond solid mechanics, such as polymer chemistry, fluid dynamics, meteorology, and robotics.

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