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Physics-Constrained, Structure-Preserving Machine Learning Models for Structural Health Applications
Many different industrial sectors such as aerospace, civil, mechanical, and automotive rely on complex systems that have evolved beyond their original design due to, among other things, damage, aging, upgrades, or degradation. The mismatch between the original design life and the current state of th
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