Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2018 , Vol. 52 >Issue 2: 228 - 232

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2018.02.016

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

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  • 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 published: 2018-03-01

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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

Cite this article

TANG Hongyuana,ZHANG Zhenb,c,DENG Yunlaia,b,c,YE Lingyinga,QIAN Pengweib,c,ZHAO Longa . Prediction for Fatigue Life of Al-Zn-Mg Alloy Based on Grey System Theory[J]. Journal of Shanghai Jiaotong University, 2018 , 52(2) : 228 -232 . DOI: 10.16183/j.cnki.jsjtu.2018.02.016

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