Guozheng Kang,
Guozheng, PhD (Southwest Jiaotong University, China) Kang,
Qianhua Kan,
Qianhua, PhD (Chair Professor, Southwest Jiaotong University, Chengdu,China) Kan,
Xu Zhang,
Xu, PhD (Professor, Southwest Jiaotong University, Chengdu, China) Zhang,
Ya-Nan Hu,
Ya-Nan, PhD (Associate Professor, Southwest Jiaotong University, Chengdu, China) Hu,
Xiangyu Li,
Xiangyu (Professor, Southwest Jiaotong University, Chengdu, China) Li
e.a.
Elsevier Science
e druk, 2026
9780443446153
Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
2026
ISBN13: 9780443446153
Rubricering
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
Inhoudsopgave
1. Introduction<br>2. Introduction to the algorithm and procedure of machine learning methods<br>3. Machine learning based multiscale plasticity analysis<br>4. Machine learning based fracture analysis of solid materials<br>5. Machine learning based fatigue life prediction of solid materials<br>6. Machine learning based solid structure analyses