A physics-informed multi-agents model to predict thermo-oxidative/hydrolytic aging of elastomers-Reference-Cited by-同舟云学术

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A physics-informed multi-agents model to predict thermo-oxidative/hydrolytic aging of elastomers

Published:2022-06 Issue: Volume:223 Page:107236
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Ghaderi Aref^ORCID,Morovati Vahid^ORCID,Chen Yang,Dargazany Roozbeh

Funder

Office of Energy Efficiency and Renewable Energy

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Civil and Structural Engineering

Reference95 articles.

1. A network evolution model for the anisotropic mullins effect in carbon black filled rubbers;Dargazany;Int J Solids Struct,2009

2. A micro-mechanical constitutive model to predict hygrothermal aging of cross-linked polymers;Bahrololoumi,2021

3. Accelerated aging and lifetime prediction: Review of non-arrhenius behaviour due to two competing processes;Celina;Polym Degrad Stab,2005

4. New developments in fracture of rubbers: Predictive tools and influence of thermal aging;Abdelaziz;Int J Solids Struct,2019

5. The thermal oxidation of hydrogenated acrylonitrile-co-butadiene rubber from ambient to 150°C;Mengistu;Polym Degrad Stab,2021

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1. Lifetime estimation models and degradation mechanisms of elastomeric materials: A critical review;Polymer Degradation and Stability;2024-02

2. Mechanical property tests and physics-informed data-driven modeling of viscoelastic materials subjected to thermal-oxidative aging;Construction and Building Materials;2024-02

3. Physics and chemistry-based phase-field constitutive framework for thermo-chemically aged elastomer;International Journal of Mechanical Sciences;2024-01

4. Constitutive behavior and failure prediction of crosslinked polymers exposed to concurrent fatigue and thermal aging: a reduced-order knowledge-driven machine-learned model;Journal of Materials Science;2023-12-22

5. Long-term ageing effect on mechanical properties of polyamide 12 printed by Multi-Jet-Fusion;International Journal of Mechanical Sciences;2023-10

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