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
ISSN0167-8442
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
DOI10.1016/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)
EISSN1872-7638
引用统计
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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