Foreign rights for health care publishers
Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids
Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids
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Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids, 1e
Guozheng Kang, Qianhua Kan, Xu Zhang, Ya-Nan Hu, Xiangyu LiElsevier
350 pages
ISBN: 9780443446153
January 2026
Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book’s focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.
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