Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture
Elsevier - Health Sciences Division (Verlag)
978-0-443-44615-3 (ISBN)
- Noch nicht erschienen (ca. Januar 2026)
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
Guozheng Kang is Chair and Professor of Mechanics at Southwest Jiaotong University, China. He is also vice president of Southwest Jiaotong University. His research activities focus on cyclic plasticity and visco-plasticity, fatigue failure and life prediction, low-cycle fatigue, multiaxial fatigue, fretting fatigue, rolling contact fatigue and ratcheting-fatigue interaction for metallic and polymeric materials, as well as the thermo-mechanical fatigue of shape memory alloys. He has been the author/co-author of more than 400 research publications in refereed international journals and conference proceedings Qianhua Kan, Ph.D. in Solid Mechanics, Chair Professor at Southwest Jiaotong University, and Doctoral Supervisor. He was selected as a National High-Level Talents Recruitment Program candidate (2023). He has long been engaged in research on wheel-rail rolling contact fatigue and multi-field coupled fatigue of smart materials. He has published over 200 SCI-indexed papers, with more than 4, 000 citations by others, and has been included in Stanford University’s list of the top 2% of global scientists. He has authored three monographs in both Chinese and English, as well as six textbooks. He has received the Second Prize of the Natural Science Award from the Ministry of Education and the Second Prize of the National Teaching Achievement Award Dr Xu Zhang is a Professor at Southwest Jiaotong University, and Doctoral Supervisor. He was selected for the National High-Level Young Talent Program (in 2022) and is a Humboldt Fellow. He is also a recipient of the International Journal of Plasticity Young Researcher Award. His research primarily focuses on multiscale mechanics of advanced metallic materials. He has published over 90 SCI papers Dr Ya-Nan Hu is an Associate Professor at Southwest Jiaotong University. Dr Hu’s research focuses on the fatigue and fracture behavior of welding and additive manufacturing materials, as well as in situ characterization of material fatigue damage behavior using advanced synchrotron radiation. As the first author or corresponding author, she has published over 20 papers Xiangyu Li, Ph.D. (dual doctoral degrees), Professor at Southwest Jiaotong University, and Doctoral Supervisor. He has been recognized as a “New Century Excellent Talent by the Ministry of Education, a Humboldt Scholar in Germany, and a “Distinguished Expert of Sichuan Province. Professor Li has published over 100 papers in leading journals, including Proceedings of the National Academy of Sciences of the USA，Advanced Materials, Advanced Functional Materials, Applied Energy, Journal of the Mechanics and Physics of Solids, Computer Methods in Applied Mechanics and Engineering, and International Journal of Mechanical Sciences, with more than 1, 800 SCI citations. His honors include the Second Prize of the Natural Science Award from the Ministry of Education and the Special Award of the Zhan Tianyou Railway Science and Technology Award. He serves on the editorial boards of Mechanics Research Communications and Mechanics of Advanced Materials and Structures.
1. Introduction
2. Introduction to the algorithm and procedure of machine learning methods
3. Machine learning based multiscale plasticity analysis
4. Machine learning based fracture analysis of solid materials
5. Machine learning based fatigue life prediction of solid materials
6. Machine learning based solid structure analyses
| Erscheint lt. Verlag | 1.1.2026 |
|---|---|
| Verlagsort | Philadelphia |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 450 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Maschinenbau | |
| ISBN-10 | 0-443-44615-6 / 0443446156 |
| ISBN-13 | 978-0-443-44615-3 / 9780443446153 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
