Constitutive behavior and failure prediction of crosslinked polymers exposed to concurrent fatigue and thermal aging: a reduced-order knowledge-driven machine-learned model
To assess the combined effects of thermal aging and cyclic fatigue on the constitutive and failure behavior of crosslinked polymers, a novel physics-informed data-driven constitutive model is proposed. While extensive research has been conducted on the individual degradation modes, the simultaneous...
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Veröffentlicht in: | Journal of materials science 2024-03, Vol.59 (12), p.5066-5084 |
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Format: | Artikel |
Sprache: | eng |
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