Journal of Shanghai Jiaotong University ›› 2018, Vol. 52 ›› Issue (2): 228-232.doi: 10.16183/j.cnki.jsjtu.2018.02.016

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Prediction for Fatigue Life of Al-Zn-Mg Alloy Based on Grey System Theory

TANG Hongyuana,ZHANG Zhenb,c,DENG Yunlaia,b,c,YE Lingyinga,QIAN Pengweib,c,ZHAO Longa   

  1. a. School of Materials Science and Engineering; b. Light Alloy Research Institute; c. Nonferrous Metal Oriented Advanced Structural Materials and Manufacturing Cooperative Innovation Center, Central South University, Changsha 410083, China
  • Online:2018-03-01 Published:2018-03-01

Abstract: The S-N curve was obtained by tests based on the fatigue property of Al-Zn-Mg alloy plates. The grey system theory model was applied in predicting fatigue life of the plates while the prediction was evaluated and compared with the S-N curve. The results show that the predicative values of the gray system model are close to those of the S-N curve, and the equal dimension gray model GM(1,1) has a higher prediction accuracy than the original model GM(1,1) in multi-step prediction. It provides a better estimation of the fatigue life of Al-Zn-Mg aluminum alloy plates.

Key words: Al-Zn-Mg alloy, grey system theory model, equal dimension gray model GM(1,1), fatigue life

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