Residual Life Prediction Based on Nonlinear Fatigue Damage Accumulation Model

When a nonlinear fatigue damage accumulation model based on damage curve approach is used to get better residual life prediction results, it is necessary to solve the problem caused by the uncertain exponent of the model. Considering the effects of load interaction, the assumption that there is a li...

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Published inShanghai jiao tong da xue xue bao Vol. 20; no. 4; pp. 449 - 453
Main Author 高会英 左芳君 吕志强 朱顺鹏 黄洪钟
Format Journal Article
LanguageEnglish
Published Shanghai Shanghai Jiaotong University Press 01.08.2015
Subjects
Approximation
Architecture
Computer Science
Damage accumulation
Electrical Engineering
Engineering
Exponents
Fatigue (materials)
Fatigue failure
Life Sciences
Materials Science
Mathematical models
Nonlinearity
damage accumulation
fatigue
nonlinear
residual life prediction
O 346.2
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Summary:When a nonlinear fatigue damage accumulation model based on damage curve approach is used to get better residual life prediction results, it is necessary to solve the problem caused by the uncertain exponent of the model. Considering the effects of load interaction, the assumption that there is a linear dependence between the exponent ratio and the loading ratio is established to predict fatigue residual life of materials. Three experimental data sets are used to validate the rightness of the proposition. The comparisons of experimental data and predictions show that the predictions based on the proposed proposition are in good accordance with the experimental results as long as the parameters that represent the linear correlativity are set an appropriate value. Meanwhile, the accuracy of the proposition is approximated to that of an existing model. Therefore, the proposition proposed in this paper is reasonable for residual life prediction.
Bibliography:fatigue; nonlinear; damage accumulation; residual life prediction
31-1943/U
When a nonlinear fatigue damage accumulation model based on damage curve approach is used to get better residual life prediction results, it is necessary to solve the problem caused by the uncertain exponent of the model. Considering the effects of load interaction, the assumption that there is a linear dependence between the exponent ratio and the loading ratio is established to predict fatigue residual life of materials. Three experimental data sets are used to validate the rightness of the proposition. The comparisons of experimental data and predictions show that the predictions based on the proposed proposition are in good accordance with the experimental results as long as the parameters that represent the linear correlativity are set an appropriate value. Meanwhile, the accuracy of the proposition is approximated to that of an existing model. Therefore, the proposition proposed in this paper is reasonable for residual life prediction.
GAO Hui-ying,ZUO Fang-jun,L Zhi-qiang,ZHU Shun-peng,HUANG Hong-zhong（Institute of Reliability Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China）
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-015-1647-2