Probabilistic fatigue evaluation of notched specimens considering small sample properties under multiaxial loading | |
He, Yingbao1; Liu, Jianhui1; Lu, Jumei1; Wang, Jie1; Feng, Ruicheng1; Ren, Junqiang2 | |
2024-04 | |
在线发表时间 | 2024-02 |
发表期刊 | Theoretical and Applied Fracture Mechanics |
ISSN | 0167-8442 |
卷号 | 130 |
摘要 | Probabilistic fatigue evaluation is the key to ensure the service integrity of large-sized mechanical equipment, but in practical engineering, the probabilistic fatigue models coupled with multiaxial stress conditions and small sample information characteristics are still insufficient. Accordingly, the virtual subsample augmentation method is effectively coupled with the improved Bootstrap method to propose a general probabilistic fatigue evaluation process. Specifically, the random sample regeneration method is first used to expand the small sample fatigue data, and then life distribution information under different stress levels is fused based on the backwards statistical inference method, the P-S-N curve is fitted with the integrated life dispersion information. Secondly, a new fatigue damage parameter based on the inhibition function is proposed to modify the P-S-N curve and predict fatigue life. Meantime, the multiaxial fatigue test of Q355(D) alloy steel with different notch sizes is carried out, and the model is verified in conjunction with existing fatigue test data of TC4-DT alloy and TC4 alloy. The results show that the proposed model has a certain universality for notched specimens, the modified stress field intensity method can accurately characterize the impact of notch and size effects on fatigue damage of specimens. © 2024 Elsevier Ltd |
关键词 | Alloy steel Fatigue testing Function evaluation Statistical methods Backward statistical inference method Fatigue analysis Inference methods Inhibition function Probabilistic fatigue Probabilistic fatigue analyse Self-constrained field radius Small sample expansion Small samples Statistical inference |
DOI | 10.1016/j.tafmec.2024.104316 |
收录类别 | EI ; SCIE |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China [52365016]; Gansu Province Young Doctor Fund Project [2023QB-030]; Lanzhou University of Technology Graduate Research Exploration Project; Innovation and Entrepreneurship Talent Project of Lanzhou [2021-RC-23] |
WOS研究方向 | Engineering ; Mechanics |
WOS类目 | Engineering, Mechanical ; Mechanics |
WOS记录号 | WOS:001195992600001 |
出版者 | Elsevier B.V. |
EI入藏号 | 20240815608906 |
EI主题词 | Fatigue damage |
EI分类号 | 531.1 Metallurgy ; 545.3 Steel ; 921.6 Numerical Methods ; 922.2 Mathematical Statistics ; 951 Materials Science |
原始文献类型 | Journal article (JA) |
EISSN | 1872-7638 |
引用统计 | 无
|
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/169982 |
专题 | 机电工程学院 省部共建有色金属先进加工与再利用国家重点实验室 |
通讯作者 | Liu, Jianhui |
作者单位 | 1.School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals, School of Materials Science and Engineering, Lanzhou University of Technology, Lanzhou; 730050, China |
第一作者单位 | 兰州理工大学 |
通讯作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | He, Yingbao,Liu, Jianhui,Lu, Jumei,et al. Probabilistic fatigue evaluation of notched specimens considering small sample properties under multiaxial loading[J]. Theoretical and Applied Fracture Mechanics,2024,130. |
APA | He, Yingbao,Liu, Jianhui,Lu, Jumei,Wang, Jie,Feng, Ruicheng,&Ren, Junqiang.(2024).Probabilistic fatigue evaluation of notched specimens considering small sample properties under multiaxial loading.Theoretical and Applied Fracture Mechanics,130. |
MLA | He, Yingbao,et al."Probabilistic fatigue evaluation of notched specimens considering small sample properties under multiaxial loading".Theoretical and Applied Fracture Mechanics 130(2024). |
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