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 in | Shanghai jiao tong da xue xue bao Vol. 20; no. 4; pp. 449 - 453 |
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Format | Journal Article |
Language | English |
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Shanghai
Shanghai Jiaotong University Press
01.08.2015
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Abstract | 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. |
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AbstractList | 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. |
Author | 高会英 左芳君 吕志强 朱顺鹏 黄洪钟 |
AuthorAffiliation | Institute of Reliability Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China |
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Cites_doi | 10.1007/BF00053519 10.1016/j.engfracmech.2012.04.021 10.1177/1056789510397077 10.1515/tjj-2012-0013 10.1016/j.ijplas.2004.06.003 10.1016/S0142-1123(98)00069-3 10.1177/1056789509103482 10.1177/1056789512443902 10.5755/j01.mech.19.5.5541 10.1016/S0141-0296(02)00055-X 10.2514/8.8131 |
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Keywords | damage accumulation fatigue nonlinear residual life prediction O 346.2 |
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Notes | 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 |
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SubjectTerms | Approximation Architecture Computer Science Damage accumulation Electrical Engineering Engineering Exponents Fatigue (materials) Fatigue failure Life Sciences Materials Science Mathematical models Nonlinearity |
Title | Residual Life Prediction Based on Nonlinear Fatigue Damage Accumulation Model |
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