Effect of microstructural heterogeneity on fatigue strength predicted by reinforcement machine learning
Author:
Affiliation:
1. Chair of Materials Test Engineering (WPT) TU Dortmund University Dortmund Germany
2. Integrity of Materials and Structures, Steel Institute RWTH Aachen University Aachen Germany
Publisher
Wiley
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13816
Reference106 articles.
1. Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
2. Artificial Intelligence to Power the Future of Materials Science and Engineering
3. Statistics versus machine learning
4. Machine learning on big data: Opportunities and challenges
5. Minimizing Fatigue Damage in Aircraft Structures
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Very high‐cycle fatigue life prediction of high‐strength steel based on machine learning;Fatigue & Fracture of Engineering Materials & Structures;2023-12-18
2. Integrity Assessment of Electron‐Beam‐Welded Joints of Additively Manufactured AlSi10Mg Components;Advanced Engineering Materials;2023-11-28
3. Machine learning-assisted extreme value statistics of anomalies in AlSi10Mg manufactured by L-PBF for robust fatigue strength predictions;Materials & Design;2023-11
4. A review on the enhancement of failure mechanisms modeling in additively manufactured structures by machine learning;Engineering Failure Analysis;2023-09
5. Quantum Mechanical-Based Fracture Behavior of L-PBF/SLM Ti-6Al-4V in the Very High Cycle Fatigue Regime;Materials Performance and Characterization;2023-07-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3