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addresses the need for data-driven and hybrid modeling approaches that combine physics-based knowledge with artificial intelligence (AI) algorithms for accurate, interpretable, and robust health state
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loading rate, inclination, and material properties will be systematically varied to test robustness and reproducibility. The experiments will be designed to maintain long quasi-static deformation phases
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