Machine learning-based multiphysics model for corrosion fatigue crack propagation in aluminum alloy

The present study predicted the corrosion fatigue crack growth rate of 7075-T7651 aluminum alloy under cyclic sinusoidal loading in an aqueous solution. A corrosion fatigue model of aluminum alloy coupled with chemical field, electric field, and mechanical field was established by combining the elec...

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Bibliographic Details
Main Authors: Hongkun Wang, Zhenshuang Wu, Dongmei Jiang, Haitao Wang, En-Hou Han
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Journal of Materials Research and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785425009780
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