Robust quantile regression analysis for probabilistic modelling of S-N curves

doi:10.1016/j.ijfatigue.2022.107326

CORC > 力学研究所 > 中国科学院力学研究所 > 非线性力学国家重点实验室

	Robust quantile regression analysis for probabilistic modelling of S-N curves
	Zou, Qingrong 3; Zhao, Jianxi 3; Wen JC(温济慈)1,2
刊名	INTERNATIONAL JOURNAL OF FATIGUE
	2023-02-01
卷号	167 页码:14
关键词	N curves Fatigue life Quantile regression Fatigue design
ISSN号	0142-1123
DOI	10.1016/j.ijfatigue.2022.107326
通讯作者	Wen, Jici(wenjici@lnm.imech.ac.cn)
英文摘要	The scatter in fatigue data is commonly characterized by probability distributions for constructing the probabilistic S-N curves. However, there is notable estimation bias under distribution misspecification. In this paper, we proposed a quantile regression framework for modeling S-N curves. The quantile regression model can be built directly on the experimental data without any distribution assumption. Extensive simulations and two experimental datasets are used to illustrate the usefulness of the proposed model. The results demonstrate that the quantile regression model is exempt from the problem of incorrectly specifying the potential fatigue life distribution and is robust to the non-constant scale problem.
分类号	一类
资助项目	Science Challenge Project[TZ2018002] ; National Natural Science Foundation of China[12002343] ; R&D Program of Beijing Municipal Education Commission[KM202011232018] ; Key Research and Cultivation Project of Scientific Research on Campus of Beijing Informa-tion Science and Technology University[2021YJPY236]
WOS关键词	FATIGUE LIFE PREDICTION ; HIGH-CYCLE ; CRACK INITIATION ; STRENGTH ; STEEL ; REGIMES ; GROWTH
WOS研究方向	Engineering ; Materials Science
语种	英语
WOS记录号	WOS:000892608200001
资助机构	Science Challenge Project ; National Natural Science Foundation of China ; R&D Program of Beijing Municipal Education Commission ; Key Research and Cultivation Project of Scientific Research on Campus of Beijing Informa-tion Science and Technology University
其他责任者	Wen, Jici
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/91272]
专题	力学研究所_非线性力学国家重点实验室
作者单位	1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China; 3.Beijing Informat Sci & Technol Univ, Sch Appl Sci, Beijing 100192, Peoples R China;
推荐引用方式 GB/T 7714	Zou, Qingrong,Zhao, Jianxi,Wen JC. Robust quantile regression analysis for probabilistic modelling of S-N curves[J]. INTERNATIONAL JOURNAL OF FATIGUE,2023,167:14.
APA	Zou, Qingrong,Zhao, Jianxi,&温济慈.(2023).Robust quantile regression analysis for probabilistic modelling of S-N curves.INTERNATIONAL JOURNAL OF FATIGUE,167,14.
MLA	Zou, Qingrong,et al."Robust quantile regression analysis for probabilistic modelling of S-N curves".INTERNATIONAL JOURNAL OF FATIGUE 167(2023):14.