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超重力模拟试验离心机振动特性的回归分析
引用本文:王震林,陈良军,吕磊,杨永生.超重力模拟试验离心机振动特性的回归分析[J].装备环境工程,2023,20(1):104-111.
作者姓名:王震林  陈良军  吕磊  杨永生
作者单位:中国工程物理研究院 总体工程研究所,四川 绵阳 621000
基金项目:中国工程物理研究院创新发展基金(PY20210053)
摘    要:目的 研究试验离心机轴承座以及主轴振动随运行工况的变化规律,实现不同工况下离心机振动的预测。方法 通过试验方法分别获取不同工况下超重力模拟试验离心机的轴承座以及轴振数据。建立试验离心机的单自由度动力学模型,基于该模型,对不同工况下离心机基座振动加速度以及主轴振动位移进行回归分析。结果 离心机轴承座以及主轴振动基频均随着转速以及不平衡量的增大而增大。回归模型对轴承座以及机室基频振动数据的回决定系数均在0.9以上,对中导以及上导主轴振动位移的回归决定系数在0.7左右,对下导主轴振动位移决定系数小于0.1。结论 回归模型可以很好地解释和预测轴承座以及机室振动基频随着转速和不平衡量的变化规律,可以部分预测中导以及上导处主轴振动位移随运行工况的变化。该分析结果为大型试验离心机振动监测系统的设计以及振动特性的预测提供了参考。

关 键 词:土工离心机  回归分析  相关性分析  参数辨识中图分类号:TU62  文献标识码:A  文章编号:1672-9242(2023)01-0104-08

Regression Analysis on Vibration Characteristics of Supergravity Environmental Simulation Centrifuge
WANG Zhen-lin,CHEN Liang-jun,LYU Lei,YANG Yong-sheng.Regression Analysis on Vibration Characteristics of Supergravity Environmental Simulation Centrifuge[J].Equipment Environmental Engineering,2023,20(1):104-111.
Authors:WANG Zhen-lin  CHEN Liang-jun  LYU Lei  YANG Yong-sheng
Institution:System Engineering Institution, China Academy of Engineering Physics, Sichuan Mianyang 621000, China
Abstract:The work aims to investigate the change law of vibration on the bearing housing and the shaft of centrifuges with operation conditions and achieve better prediction of centrifuge vibration under various operation conditions. The vibration data on the bearing housing and the shaft of a centrifuge under various operation conditions were obtained through experiments. The one-degree mathematical model for the centrifuge was established and regression analysis on vibration acceleration and shaft vibration displacement of the centrifuge was conducted based on the proposed model. The experiment results indicated that the fundamental harmonic component of bearing housing vibration rose with the increase of the unbalance and rotating speed. The determination coefficients between the proposed model and the obtained experimental data of bearing housing and pedestal were above 0.9. The determination coefficients of the shaft deflection measured at upper bearing and middle bearing were around 0.7 while it was below 0.1 for the shaft deflection measured at lower bearing. It can be concluded that the proposed regression model provide good explanations and predictions for the vibration of the bearing housing and pedestal and proper approximations for the deflection of the shaft under various operation condition. The analysis results provide references for the design of the vibration monitor system and the vibration prediction of the large experimental centrifuges.
Keywords:geotechnical centrifuge  regression analysis  correlation analysis  parameter identification
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