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

doi:10.1016/j.ijfatigue.2022.107326

IMECH-IR > 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 1; Zhao, Jianxi 1; Wen JC(温济慈)2,3
通讯作者	Wen, Jici([email protected])
发表期刊	INTERNATIONAL JOURNAL OF FATIGUE
	2023-02-01
卷号	167 页码:14
ISSN	0142-1123
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.
关键词	N curves Fatigue life Quantile regression Fatigue design
DOI	10.1016/j.ijfatigue.2022.107326
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000892608200001
关键词[WOS]	FATIGUE LIFE PREDICTION ; HIGH-CYCLE ; CRACK INITIATION ; STRENGTH ; STEEL ; REGIMES ; GROWTH
WOS研究方向	Engineering ; Materials Science
WOS类目	Engineering, Mechanical ; Materials Science, Multidisciplinary
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]
项目资助者	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
论文分区	一类
力学所作者排名	1
RpAuthor	Wen, Jici
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/91273
专题	非线性力学国家重点实验室
作者单位	1.Beijing Informat Sci & Technol Univ, Sch Appl Sci, Beijing 100192, Peoples R China; 2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China; 3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, 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.Rp_Au:Wen, Jici
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.

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