Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids
Book Details
Format
Paperback / Softback
ISBN-10
0443446156
ISBN-13
9780443446153
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 23rd, 2026
Print length
350 Pages
Weight
450 grams
Product Classification:
Engineering: generalMaterials scienceMachine learning
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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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