Buy Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Science, Technology & Agriculture > Technology: general issues > Engineering: general > Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture
Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture

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


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

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.

Table of Contents:
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

About the Author :
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.


Best Sellers


Product Details
  • ISBN-13: 9780443446153
  • Publisher: Elsevier - Health Sciences Division
  • Publisher Imprint: Elsevier - Health Sciences Division
  • Height: 229 mm
  • No of Pages: 350
  • Width: 152 mm
  • ISBN-10: 0443446156
  • Publisher Date: 01 Jan 2026
  • Binding: Paperback
  • Language: English
  • Weight: 750 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture
Elsevier - Health Sciences Division -
Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

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

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!