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

文献类型：期刊论文

作者Bai, Xin1; Zhang, Peng1,2; Liu, Shuo1,2; Liu, Rui1; Zhao, Bingfeng3; Zhang, Zhefeng1,2
刊名INTERNATIONAL JOURNAL OF FATIGUE
出版日期2023-03-01
卷号168页码:12
ISSN号0142-1123
关键词High-speed railway axle Fatigue strength Size effect Critical external load
DOI10.1016/j.ijfatigue.2022.107408
通讯作者Bai, Xin(xbai@imr.ac.cn) ; Zhang, Peng(pengzhang@imr.ac.cn) ; Zhang, Zhefeng(xbai@imr.ac.cn)
英文摘要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).
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
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000892272600003
资助机构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
源URL[http://ir.imr.ac.cn/handle/321006/177022]  
专题金属研究所_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.

入库方式： OAI收割

来源：金属研究所

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