A methodology to determine a conditional probability density distribution surface from S-N data

被引：25

作者：

Zhai, Jian-ming ^{[1
]}

Li, Xiao-yang ^{[1
]}

机构：

[1] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2012年 / 44卷

关键词：

S-N data; CPDDS; The small probability event; Staircase method; Fatigue limit; FATIGUE LIFE; METALLIC MATERIALS; STRENGTH; PREDICTION; REGIME; LIMIT;

D O I：

10.1016/j.ijfatigue.2012.05.008

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A conditional probability density distribution surface (CPDDS) is constructed by two functions in this paper. One is the function of population mean and the stress level; the other is the function of standard deviation and the stress level. The surface represents the probability density curve of fatigue life changing with the stress level. A new definition of fatigue limit as well as the determination method is given in this paper according to the small probability event of CPDDS. The proposed method can save considerable cost and time in the determination of fatigue limit. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：107 / 115

页数：9

共 32 条

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