中南大学 a. 材料科学与工程学院; b. 轻合金研究院; c. 有色金属先进结构材料与制造协同创新中心， 长沙 410083
出版日期:2018-03-01发布日期:2018-03-01基金资助:国家重点研发计划（2016YFB0300901），中山市科技计划项目（2016A1001）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 Longaa. 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:2018-03-01Published:2018-03-01摘要/Abstract
摘要： 以Al-Zn-Mg合金板材的疲劳性能为指标，通过测试获得Al-Zn-Mg合金疲劳寿命的S-N曲线.将灰色系统理论模型运用到Al-Zn-Mg合金板材疲劳寿命的预测中，通过Al-Zn-Mg合金的S-N曲线来评估和比较灰色系统模型寿命预测的准确性.计算结果表明，灰色系统模型预测值与 S-N 曲线比较接近.在多步预测中，等维灰度均值GM(1,1)模型与原始均值GM(1,1)模型相比具有较高的预测精度，可以更好地预测Al-Zn-Mg合金板材材料的疲劳寿命.
关键词: Al-Zn-Mg合金, 灰色系统理论模型, 等维灰度GM(1, 1)模型, 疲劳寿命
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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