| Fatigue strength prediction of large-size component through size effect measurement and determination | |
| Bai, Xin1; Zhang, Peng1,2; Liu, Shuo1,2; Liu, Rui1; Zhao, Bingfeng3; Zhang, Zhefeng1,2 | |
| Corresponding Author | Bai, Xin(xbai@imr.ac.cn) ; Zhang, Peng(pengzhang@imr.ac.cn) ; Zhang, Zhefeng(xbai@imr.ac.cn) |
| 2023-03-01 | |
| Source Publication | INTERNATIONAL JOURNAL OF FATIGUE
 |
| ISSN | 0142-1123 |
| Volume | 168Pages:12 |
| Abstract | 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). |
| Keyword | High-speed railway axle Fatigue strength Size effect Critical external load |
| Funding Organization | 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 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Engineering ; Materials Science |
| WOS Subject | Engineering, Mechanical ; Materials Science, Multidisciplinary |
| WOS ID | WOS:000892272600003 |
| Publisher | ELSEVIER SCI LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/177026 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Bai, Xin; Zhang, Peng; Zhang, Zhefeng |
| Affiliation | 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 |
| Recommended Citation 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. |
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