上海交通大学学报(英文版) ›› 2015, Vol. 20 ›› Issue (4): 449-453.doi: 10.1007/s12204-015-1647-2

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Residual Life Prediction Based on Nonlinear Fatigue Damage Accumulation Model

GAO Hui-ying (高会英), ZUO Fang-jun (左芳君), LU Zhi-qiang (吕志强),ZHU Shun-peng (朱顺鹏), HUANG Hong-zhong* (黄洪钟)   

  1. (Institute of Reliability Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
  • 发布日期:2015-08-05
  • 通讯作者: HUANG Hong-zhong (黄洪钟) E-mail:hzhuang@uestc.edu.cn

Residual Life Prediction Based on Nonlinear Fatigue Damage Accumulation Model

GAO Hui-ying (高会英), ZUO Fang-jun (左芳君), LU Zhi-qiang (吕志强),ZHU Shun-peng (朱顺鹏), HUANG Hong-zhong* (黄洪钟)   

  1. (Institute of Reliability Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
  • Published:2015-08-05
  • Contact: HUANG Hong-zhong (黄洪钟) E-mail:hzhuang@uestc.edu.cn

摘要: 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.

关键词: fatigue, nonlinear, damage accumulation, residual life prediction

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.

Key words: fatigue, nonlinear, damage accumulation, residual life prediction

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