Stress, Strain, or Energy? which one is superior predictor of fatigue life in notched Components? a novel Machine Learning-Based framework-Reference-Cited by-同舟云学术

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Stress, Strain, or Energy? which one is superior predictor of fatigue life in notched Components? a novel Machine Learning-Based framework

Published:2024-10 Issue: Volume:309 Page:110401
ISSN:0013-7944
Container-title:Engineering Fracture Mechanics
language:en
Short-container-title:Engineering Fracture Mechanics

Author:

Mirzaei A.M.

Funder

Horizon 2020

Horizon 2020 Framework Programme

Horizon 2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Reference73 articles.

1. Metal fatigue in engineering;Stephens,2000

2. Progressive Fatigue Damage Modeling of Composite Materials, Part I: Modeling;Shokrieh;J Compos Mater,2000

3. A novel multiscale model for mixed-mode fatigue crack growth in laminated composites;Mirsayar;Int J Mech Sci,2023

4. A general energy based fatigue failure criterion for the carbon epoxy composites;Mandegarian;Compos Struct,2020

5. Accelerating materials discovery using machine learning;Juan;J Mater Sci Technol,2021

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