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Guozheng, PhD Kang
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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- More about Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids
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.
- Publication date: 23 January 2026
- Page count: 350
- Dimensions: Height 229 mm; Width 152 mm
- Publisher: Elsevier - Health Sciences Division
- Format: Paperback
- ISBN-13: 9780443446153
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