IMR OpenIR
Predictive fatigue crack growth law of high-strength steels
Li, H. F.1,2; Zhang, P.1; Wang, B.1; Zhang, Z. F.1
Corresponding AuthorZhang, P.(pengzhang@imr.ac.cn) ; Zhang, Z. F.(zhfzhang@imr.ac.cn)
2022-02-20
Source PublicationJOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
ISSN1005-0302
Volume100Pages:46-50
AbstractThe fatigue resistance of metallic materials is generally attributed to both strength and toughness. Unfortunately, these properties are mutually exclusive in most materials. Classical theories like Paris' law only provide some data correlation schemes rather than a predictive capability, which cannot satisfactorily guide the anti-fatigue design. In this study, for the first time, the predictive fatigue crack growth rate law is proposed by considering the effects of both strength and toughness. Accordingly, a quantitative criterion is established for judging the fatigue crack resistance of high-strength steels. The predictive law would provide a unique view to the quantitative anti-fatigue design of metallic materials. (c) 2022 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
KeywordFatigue crack growth Strength and toughness Paris' law High-strength steels
Funding OrganizationNational Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; LiaoNing Revitalization Talents Program ; Youth Innovation Promotion Association CAS ; Jilin Province ; National Science and Technology Major Project ; CAS
DOI10.1016/j.jmst.2021.04.042
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51771208] ; National Natural Science Foundation of China[U1664253] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB22020202] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDC04040502] ; LiaoNing Revitalization Talents Program[XLYC1808027] ; Youth Innovation Promotion Association CAS[2018226] ; Jilin Province[2020SYHZ0008] ; National Science and Technology Major Project[2017-VI-0003-0073] ; CAS[2020SYHZ0008]
WOS Research AreaMaterials Science ; Metallurgy & Metallurgical Engineering
WOS SubjectMaterials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS IDWOS:000743264400006
PublisherJOURNAL MATER SCI TECHNOL
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/173324
Collection中国科学院金属研究所
Corresponding AuthorZhang, P.; Zhang, Z. F.
Affiliation1.Chinese Acad Sci, Inst Met Res, Shi Changxu Innovat Ctr Adv Mat, Lab Fatigue & Fracture Mat, Shenyang 110016, Peoples R China
2.Shijiazhuang Tiedao Univ, State Key Lab Mech Behav & Syst Safety Traff Engn, Shijiazhuang 050043, Hebei, Peoples R China
Recommended Citation
GB/T 7714
Li, H. F.,Zhang, P.,Wang, B.,et al. Predictive fatigue crack growth law of high-strength steels[J]. JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY,2022,100:46-50.
APA Li, H. F.,Zhang, P.,Wang, B.,&Zhang, Z. F..(2022).Predictive fatigue crack growth law of high-strength steels.JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY,100,46-50.
MLA Li, H. F.,et al."Predictive fatigue crack growth law of high-strength steels".JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY 100(2022):46-50.
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