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
Hauptverfasser: Ghaderi, Aref, Ayoub, Georges, Dargazany, Roozbeh
Format: Artikel
Sprache:eng
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