Artificial neural networks-based <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si10.svg"><mml:mrow><mml:mi mathvariant="bold-italic">J</mml:mi></mml:mrow></mml:math>-integral prediction for cracked bodies under elasto-plastic deformation state –monotonic loading

Mortazavi, S. N. S.; Ince, Ayhan

doi:10.1016/j.ijfatigue.2022.107311

International Journal of Fatigue

2023

DOI: 10.1016/j.ijfatigue.2022.107311

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Artificial neural networks-based J-integral prediction for cracked bodies under elasto-plastic deformation state –monotonic loading

S. N. S. Mortazavi

Ayhan Ince

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New neural network-based algorithm for predicting fatigue life of aluminum alloys in terms of machining parameters

Kashyzadeh

Ghorbani

2023

Engineering Failure Analysis

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Artificial neural networks-based J-integral prediction for cracked bodies under elasto-plastic deformation state –monotonic loading

Cited by 10 publications

References 50 publications

New neural network-based algorithm for predicting fatigue life of aluminum alloys in terms of machining parameters

New neural network-based algorithm for predicting fatigue life of aluminum alloys in terms of machining parameters

A deep neural network-based method to predict J-integral for surface cracked plates under biaxial loading

Artificial neural networks-based J-integral prediction for cracked bodies under elasto-plastic deformation state –cyclic loading

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