Quantification of uncertainty in a defect-based Physics-Informed Neural Network for fatigue evaluation and insights on influencing factors
Author:
Funder
MIUR
Ministero dell’Istruzione, dell’Università e della Ricerca
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference47 articles.
1. Defects in additive manufactured metals and their effect on fatigue performance: A state-of-the-art review;Sanaei;Prog Mater Sci,2021
2. A linear elastic finite element approach to fatigue life estimation for defect laden materials;Shao;Eng Fract Mech,2023
3. Advances in additive manufacturing process simulation: Residual stresses and distortion predictions in complex metallic components;Song;Mater Des,2020
4. Eigenstrain reconstruction of residual strains in an additively manufactured and shot peened nickel superalloy compressor blade;Salvati;Comput Methods Appl Mech Engrg,2017
5. An analysis of fatigue failure mechanisms in an additively manufactured and shot peened IN 718 nickel superalloy;Salvati;Mater Des,2020
Cited by 8 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. Physics-informed machine learning framework for creep-fatigue life prediction of a Ni-based superalloy using ensemble learning;Materials Today Communications;2024-12
2. Evaluating fatigue onset in metallic materials: Problem, current focus and future perspectives;International Journal of Fatigue;2024-11
3. Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks;International Journal of Fatigue;2024-09
4. Multi-physics information-integrated neural network for fatigue life prediction of additively manufactured Hastelloy X superalloy;Virtual and Physical Prototyping;2024-07-07
5. A comprehensive study on the effects of surface post-processing on fatigue performance of additively manufactured AlSi10Mg: An augmented machine learning perspective on experimental observations;Additive Manufacturing;2024-04
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