Fatigue strength prediction of large-size component through size effect measurement and determination

doi:10.1016/j.ijfatigue.2022.107408

IMR OpenIR

	Fatigue strength prediction of large-size component through size effect measurement and determination
	Bai, Xin 1; Zhang, Peng 1,2; Liu, Shuo 1,2; Liu, Rui 1; Zhao, Bingfeng 3; Zhang, Zhefeng 1,2
通讯作者	Bai, Xin(xbai@imr.ac.cn) ; Zhang, Peng(pengzhang@imr.ac.cn) ; Zhang, Zhefeng(xbai@imr.ac.cn)
	2023-03-01
发表期刊	INTERNATIONAL JOURNAL OF FATIGUE
ISSN	0142-1123
卷号	168 页码:12
摘要	Large-size components play a significant role in resisting cyclic stress failure. To reduce the cost and to improve the testing efficiency, a new model named as the critical external load (LET) model and focused on the statistical size effects on fatigue property is first established from the critical external load (the minimum load resulting in fatigue, i.e. fatigue force or fatigue moment) and effective thickness. The LET model is validated by the testing results of the components with different shape or different loading types or different materials. Accordingly, a new method for fatigue strength prediction of components is proposed in this study, including the design of specimens and the measurement and determination of fatigue statistical size effects through the up-and-down fatigue tests. And then the new method is used to predict the fatigue strength of a Chinese high-speed railway solid axle. In comparison with the testing results of the full-scale axle and the predicted values from other fatigue size effect models, the LET model can describe the fatigue size effects in a larger size range and the method as presented here can be used for the fatigue strength prediction of the large-size components with relatively low cost and high efficiency (e.g. reducing the cost by more than 96.7% and increasing the efficiency by about 50% for the full-scale axles in up-and-down tests).
关键词	High-speed railway axle Fatigue strength Size effect Critical external load
资助者	National Natural Science Foundation of China (NSFC) ; Jilin Province ; Chinese Academy of Sciences ; Natural Science Foundation of Liaoning Province ; Youth Innovation Promotion Association CAS ; National Key Research and Development Program of China
DOI	10.1016/j.ijfatigue.2022.107408
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[52105164] ; National Natural Science Foundation of China (NSFC)[52130002] ; Jilin Province[2022SYHZ0026] ; Chinese Academy of Sciences[2022SYHZ0026] ; Natural Science Foundation of Liaoning Province[2021-MS-003] ; Youth Innovation Promotion Association CAS[2018226] ; National Key Research and Development Program of China[2017YFB0703004]
WOS研究方向	Engineering ; Materials Science
WOS类目	Engineering, Mechanical ; Materials Science, Multidisciplinary
WOS记录号	WOS:000892272600003
出版者	ELSEVIER SCI LTD
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/177023
专题	中国科学院金属研究所
通讯作者	Bai, Xin; Zhang, Peng; Zhang, Zhefeng
作者单位	1.Chinese Acad Sci, Inst Met Res, Shi Changxu Innovat Ctr Adv Mat, 72 Wenhua Rd, Shenyang 110016, Peoples R China 2.Univ Sci & Technol China, Sch Mat Sci & Engn, 72 Wenhua Rd, Shenyang 110016, Peoples R China 3.Northeastern Univ, Sch Mech Engn & Automat, 3-11 Wenhua Rd, Shenyang 110819, Peoples R China
推荐引用方式 GB/T 7714	Bai, Xin,Zhang, Peng,Liu, Shuo,et al. Fatigue strength prediction of large-size component through size effect measurement and determination[J]. INTERNATIONAL JOURNAL OF FATIGUE,2023,168:12.
APA	Bai, Xin,Zhang, Peng,Liu, Shuo,Liu, Rui,Zhao, Bingfeng,&Zhang, Zhefeng.(2023).Fatigue strength prediction of large-size component through size effect measurement and determination.INTERNATIONAL JOURNAL OF FATIGUE,168,12.
MLA	Bai, Xin,et al."Fatigue strength prediction of large-size component through size effect measurement and determination".INTERNATIONAL JOURNAL OF FATIGUE 168(2023):12.