Fatigue Life Estimation Considering Strengthening of Low Amplitude Loads Using Improved Unequal Interval Grey Model
Under variable loading,fatigue life prediction is very important for the selection,design,and safety assessments of these components.In this study,based on the Miner rule,an improved damage accumulation rule was proposed to consider the strengthening and damaging of low amplitude loads.The complexit...
Saved in:
Published in | 东华大学学报(英文版) Vol. 32; no. 6; pp. 1015 - 1019 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
31.12.2015
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Under variable loading,fatigue life prediction is very important for the selection,design,and safety assessments of these components.In this study,based on the Miner rule,an improved damage accumulation rule was proposed to consider the strengthening and damaging of low amplitude loads.The complexity of fatigue phenomenon results in predicting fatigue life difficulty.Since grey models(GMs)only require a limited amount of data to estimate the behavior of unknown systems,they are used in this paper to account for the uncertainties resulting from various sources when fatigue life of component is predicted.An improved unequal interval GM(IUGM(1,1))has been developed and applied successfully to estimation of fatigue life.An example is used to illustrate how the method works.The results show that the proposed model not only overcomes the limitations of the traditional grey forecasting model of linear change series,but also increases the scope of GM in the fatigue life prediction of mechanical components,and its accuracy is higher than that of the traditional model.Moreover,the results indicate that the IUGM(1,1)is capable of predicting component fatigue life better than the traditional Miner rule,and yields a high prediction precision. |
---|---|
Bibliography: | 31-1920/N ZUO Fang-jun , MI Jin-hua, LU Zhi-qiang, GAO Hui-ying ( School of Mechatronics Engineering, University of Electronic science and Technology of China, Chengdu 611731, China) Under variable loading,fatigue life prediction is very important for the selection,design,and safety assessments of these components.In this study,based on the Miner rule,an improved damage accumulation rule was proposed to consider the strengthening and damaging of low amplitude loads.The complexity of fatigue phenomenon results in predicting fatigue life difficulty.Since grey models(GMs)only require a limited amount of data to estimate the behavior of unknown systems,they are used in this paper to account for the uncertainties resulting from various sources when fatigue life of component is predicted.An improved unequal interval GM(IUGM(1,1))has been developed and applied successfully to estimation of fatigue life.An example is used to illustrate how the method works.The results show that the proposed model not only overcomes the limitations of the traditional grey forecasting model of linear change series,but also increases the scope of GM in the fatigue life prediction of mechanical components,and its accuracy is higher than that of the traditional model.Moreover,the results indicate that the IUGM(1,1)is capable of predicting component fatigue life better than the traditional Miner rule,and yields a high prediction precision. fatigue damage analysis lifetime prediction uncertainty grey theory IUGM(1,1) |
ISSN: | 1672-5220 |