上海交通大学学报 ›› 2020, Vol. 54 ›› Issue (1): 106-110.doi: 10.16183/j.cnki.jsjtu.2020.01.014

• 学报(中文) • 上一篇    

基于灰色系统模型GM(1,1)改进Miner准则的液压支架底座疲劳寿命预测

王慧1,井伟川1,2 ,赵国超1,金鑫1   

  1. 1. 辽宁工程技术大学, 辽宁 阜新 123000; 2. 沈阳农业大学, 沈阳 110866
  • 出版日期:2020-01-28 发布日期:2020-01-16
  • 通讯作者: 王慧(1960-),男,辽宁省凌源市人,教授,博士生导师,从事机械可靠性与故障诊断研究. 电话(Tel.):13841804145;E-mail:wanghui9955@126.com.
  • 基金资助:
    国家自然科学基金资助项目(51574140)

Fatigue Life Prediction for Hydraulic Support Foundation Based on Grey System Model GM (1, 1) Improved Miner Criterion

WANG Hui 1,JING Weichuan 1,2,ZHAO Guochao 1,JIN Xin 1   

  1. 1. Liaoning Technical University, Fuxin 123000, Liaoning, China; 2. Shenyang Agricultural University, Shenyang 110866, China
  • Online:2020-01-28 Published:2020-01-16

摘要: 针对疲劳寿命预测中传统疲劳累积损伤准则(即Miner准则)存在误差较大的问题,为了提高固体充填液压支架疲劳寿命的预测精度和保证服役过程的安全可靠性,利用灰色系统模型GM(1,1)对传统Miner准则加以改进.以ZZC8800/20/38型六柱支撑式固体充填液压支架的底座为研究对象,基于ANSYS对危险工况下底座应力进行分析,同时结合疲劳试验对底座进行寿命预测.结果表明:相比传统Miner准则,改进Miner准则的预测精度提高了4032%,为固体充填液压支架疲劳寿命预测提供了一种有效的方法,对其安全服役具有一定的参考意义.

关键词: 液压支架底座; 疲劳寿命预测; 灰色系统模型GM(1,1); 疲劳累积损伤准则; Miner准则

Abstract: Aiming at the problem that the error existing in traditional fatigue cumulative damage criterion (Miner criterion) for fatigue life prediction is quite larger, in order to improve the prediction precision of fatigue life for solid-filling hydraulic support and to ensure a safe and reliable service process, a grey system model GM (1,1) is used to improve the traditional Miner criterion. Taking ZZC8800/20/38 six-column supporting solid-filling hydraulic support foundation as the object of study, the stress analysis of the base under dangerous conditions was carried out through ANSYS, and the fatigue life prediction of the foundation was carried out with the fatigue test. The results show that compared with the traditional Miner criterion, the prediction precision of the improved Miner criterion increases by 4032%, which provides an effective method for the fatigue life prediction of the solid-filling hydraulic support, and has a certain reference significance for its security service.

Key words: hydraulic support foundation; fatigue life prediction; grey system model GM(1,1); fatigue cumulative damage criterion; Miner criterion

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