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Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids – Guozheng Kang et al. – 1st Edition 2026 | Machine Learning & Solid Mechanics

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2026/2027 Written for academic year
Institution Machine Learning In Solid Mechanics
Course Machine Learning in Solid Mechanics
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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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,Machine Learning in
the Analysis of
Deformation, Fatigue
and Fracture in Solids

,This page intentionally left blank

, Machine Learning in
the Analysis of
Deformation, Fatigue
and Fracture in Solids

GUOZHENG KANG
School of Mechanics and Aerospace Engineering,
Southwest Jiaotong University, Chengdu, P.R. China
QIANHUA KAN
School of Mechanics and Aerospace Engineering,
Southwest Jiaotong University, Chengdu, P.R. China
XU ZHANG
School of Mechanics and Aerospace Engineering,
Southwest Jiaotong University, Chengdu, P.R. China
YA-NAN HU
School of Mechanics and Aerospace Engineering,
Southwest Jiaotong University, Chengdu, P.R. China
XIANGYU LI
School of Mechanics and Aerospace Engineering,
Southwest Jiaotong University, Chengdu, P.R. China

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