基于模态分析理论的结合部动刚度辨识
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  • 英文篇名:A study on the identification of joints dynamic stiffness based on modal analysis
  • 作者:董冠华 ; 殷勤 ; 刘蕴 ; 殷国富
  • 英文作者:DONG Guanhua;YIN Qin;LIU Yun;YIN Guofu;School of Manufacturing Science and Engineering,Sichuan University;
  • 关键词:动力学 ; 结合部 ; 刚度 ; 模态分析
  • 英文关键词:dynamic;;joints;;stiffness;;modal analysis
  • 中文刊名:ZDCJ
  • 英文刊名:Journal of Vibration and Shock
  • 机构:四川大学制造科学与工程学院;
  • 出版日期:2017-10-28
  • 出版单位:振动与冲击
  • 年:2017
  • 期:v.36;No.304
  • 基金:国家科技支撑计划项目(2015BAF27B01);; 四川省科技计划项目(2014GZ0125)
  • 语种:中文;
  • 页:ZDCJ201720020
  • 页数:7
  • CN:20
  • ISSN:31-1316/TU
  • 分类号:130-136
摘要
结合部动力学特性对机械系统动力学性能具有显著影响,结合部动力学信息的准确辨识是组合结构动力学建模的重要前提。基于模态分析理论对结合部动刚度辨识方法进行了深入研究:首先,建立了包含结合部动力学信息的广义动力学模型,从模态分析理论出发,讨论了结合部动力学特性对组合结构固有频率的影响,建立了两者的映射关系;进而,采用质量单元与弹簧阻尼单元建立了理想的动力学有限元模型,通过模态分析所得的固有频率对结合部刚度进行辨识,辨识值与理论值之间最大误差为1.92%;最后,对螺栓连接组合结构进行了模态试验,以所测得的法向及切向典型振型对应固有频率为指标,通过搭建的MATLAB-ANSYS集成平台对螺栓结合部刚度进行辨识,并将所辨识的结合部刚度录入有限元模型,栓接结构固有频率的有限元预测值与实测值之间最大误差率为3.01%;数值模拟试验与现场模态试验的辨识效果均较为理想,验证了方法的可行性。同时,以栓接结构典型振型对应固有频率为指标辨识的结合部动力学刚度信息很好预测其他各阶固有频率的分布,表征和印证了栓接结构在较大预紧力作用下,螺栓结合部非线性动力学特性得到了抑制,满足线性条件假设。
        Accurate identification of the dynamic information is an important prerequisite for the combination of structural dynamics modeling. In this paper,the method of the dynamic stiffness identification was studied based on the theory of modal analysis. Firstly,we constructed a generalized dynamics model containing the dynamic information,discussed the characteristics of the joint dynamics from the theory of modal analysis influencing between the natural frequency and the combination structure and established the relationship between them. Furthermore,we built an ideal finite element model by the mass and spring-damper and identified the joint stiffness by the natural frequency obtained by numerical analysis. The maximum error between the identification and the theoretical value was 1. 92%. At last,we applied modal test on bolt joints,the measured natural frequency of the typical mode of vibration in normal and tangential direction as the index,through the MATLAB-ANSYS integration platform to identify the bolt joint stiffness. Moreover,the obtained results were input to the finite element model. The maximum error between the predicted value and measured value was 3. 01%. The numerical value and the test value were all ideal,demonstrating the feasibility of the method. At the same time,the dynamic stiffness identified by the measured natural frequency of the typical mode of vibration was a very good predictor of other order natural frequency distribution of the bolt connection structure,demonstrating that the bolt in a larger pretightening force; dynamic characteristics met the linear assumption.
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