Results 241 to 250 of about 161,024 (311)

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Quasi-In Situ Observation of the Microstructural Response during Fatigue Crack Growth of Friction Stir Welded AA2024-T4 Joint. [PDF]

Materials (Basel)
Yang J, Chen X, Zhao H, Dong J, Jin F.
europepmc   +1 more source

The Study on Fatigue Crack Growth Rate of 4130X Material under Different Hydrogen Corrosion Conditions. [PDF]

Materials (Basel)
Jiang S, Wang J, Zhao B, Zhang E.
europepmc   +1 more source

Study of Fatigue Crack Initiation and the Propagation Mechanism Induced by Pores in a Powder Metallurgy Nickel-Based FGH96 Superalloy. [PDF]

Materials (Basel)
Yi S, Zhang S, Wang D, Mao J, Zhang Z, Hu D.   +5 more
europepmc   +1 more source

Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM. [PDF]

Materials (Basel)
Sales A, Khanna A, Hughes J, Yin L, Kotousov A.   +4 more
europepmc   +1 more source

Optimization design of fiber rubber asphalt gravel sealing layer based on fatigue crack resistance test. [PDF]

PLoS One
Lei J, Zhao F, Wang Y, Su H.
europepmc   +1 more source

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Multiple-cracked fatigue crack growth by BEM

Computational Mechanics, 1995
The dual boundary element method is applied to the two-dimensional linear elastic analysis of fatigue problem of multiple-cracked body. For each crack, the traction integral equation is applied on one surface of the crack, while the usual displacement integral equation is used simultaneously on the other. General multiple crack growth problem is solved
Yan, A. M., Nguyen-Dang, H.
openaire   +2 more sources

Fatigue Crack Growth

2016
Fatigue in materials subjected to repeated cyclic loading can be defined as a progressive failure due to crack initiation (stage I), crack growth (stage II), and crack propagation (stage III) or instability stage. For instance, crack initiation of crack-free solids may be characterized by fatigue crack nuclei due to dislocation motion, which generates ...
Hans Albert Richard, Manuela Sander
openaire   +2 more sources