A novel method for analysis of fatigue life measurements based on modified Shepard method

被引：12

作者：

Faghidian, S. A. ^{[1
]}

Jozie, A. ^{[2
]}

Sheykhloo, M. J. ^{[2
]}

Shamsi, A. ^{[3
]}

机构：

[1] Islamic Azad Univ, Sci & Res Branch, Dept Mech & Aerosp Engn, Tehran, Iran

[2] Islamic Azad Univ, Abhar Branch, Dept Mech Engn, Abhar, Iran

[3] Islamic Azad Univ, Tabriz Branch, Dept Civil Engn, Tabriz, Iran

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2014年 / 68卷

关键词：

Fatigue life; Bayesian statistical approach; Modified Shepard method; Linear regression; Stabilization theory; STATISTICAL-ANALYSIS; PREDICTION; INTERPOLATION;

D O I：

10.1016/j.ijfatigue.2014.05.009

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Fatigue is one of the major reasons of engineering parts failure. Still performing experiments is an effective way for determination of fatigue life. Due to inherent randomness of fatigue data, Bayesian statistics is widely used in the literature. In the present study, modified Shepard method is used to determine the best estimate for fatigue life in replicated tests and results are verified by Bayesian statistical approach. Linear regression method based on ASTM standard is utilized to generate fatigue S-N curve, as well as Tikhonov stabilization method is shown to effectively reduce the influences of measurement noise. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：144 / 149

页数：6

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