Scalable stress-constrained topology optimization: a super-resolution and simultaneous approach based on machine learning
Read the original at arxiv.org→arXiv:2610.28703v1 Announce Type: new Abstract: Large-scale topology optimization (TO) remains computationally demanding, especially for stress-constrained problems. To address this challenge, we propose the...
Original headline: "Scalable Stress-Constrained Topology Optimization: A Super-resolution and Simultaneous Approach Based on Machine Learning"
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- Oct 22, 04:00 UTC arXiv cs.LG lead source Scalable Stress-Constrained Topology Optimization: A Super-resolution and Simultaneous Approach Based on Machine Learning