Tangential Dynamic Behavior Identification of Bolt Joints

被引:0
|
作者
Zheng H. [1 ]
Xu L. [1 ]
Hu T. [1 ]
Wang H. [2 ]
机构
[1] School of Mechatronic Engineering, Southwest Petroleum University, Chengdu
[2] Sichuan Pushningjiang Machine Tool Co., Ltd., Dujiangyan
关键词
Bolt joint; Dynamic behavior; Substructure synthesis; Tangential;
D O I
10.16450/j.cnki.issn.1004-6801.2019.05.003
中图分类号
学科分类号
摘要
Identification of joints dynamic behaviors has become a universal issue, which is critical for accurate modeling of mechanical system. In this paper, a thorough methodology is presented to investigate bolt joint tangential dynamic characteristics. Substructure synthesis, based on structure frequency respond functions(FRFs), is employed as the theory mainline to construct the fundamental equation for identifying bolt joint tangential dynamic behaviors. Tangential dynamic stiffness of bolt joint, Za, is deduced afterwards. By virtue of singular value decomposition and least squares approaches, equivalent tangential stiffness parameters, ka, and damping parameter, ca, utilized for bolt joint tangential dynamic modeling in the following step, are identified. Validity of the proposed tangential dynamic model is demonstrated by comparing FRFs obtained numerically and experimentally. Comparison results indicate that frequencies errors of first three characteristic peaks are 1.38%, 1.51% and 0.84%, respectively. It is sufficient to prove that the proposed methodology is efficient for identifying bolt joint tangential dynamic behaviors and the resulting equivalent dynamic parameters are highly accurate so that they can be regarded as theory and data supports for accurate modeling of mechanical system. © 2019, Editorial Department of JVMD. All right reserved.
引用
收藏
页码:934 / 939
页数:5
相关论文
共 18 条
  • [1] An W., Guo L., Gong Z., Identification method of the normal dynamic stiffness of fixed joints based on the modal test, Machinery Design & Manufacture, 1, 2, pp. 1-3, (2015)
  • [2] Iranzad M., Ahmadian H., Identification of nonlinear bolted lap joint models, Computers and Structures, 96-97, pp. 1-8, (2012)
  • [3] Prawin J., Rao A., Lakshmi K., Nonlinear identification of structures using ambient vibration data, Computers and Structures, 154, pp. 116-134, (2015)
  • [4] Mehrpouya M., Graham E., Park S., FRF based joint dynamics modeling and identification, Mechanical Systems and Signal Processing, 39, 1-2, pp. 265-279, (2013)
  • [5] Tian H., Liu F., Fang Z., Et al., Immovable joint surface's model using isotropic virtual material, Journal of Vibration Engineering, 26, 4, pp. 561-573, (2013)
  • [6] Li Q., Chen G., Chen W., Et al., Study on modeling of structural joints based on effective contact area of rigid connection, Journal of Vibration Engineering, 30, 3, pp. 397-402, (2017)
  • [7] Mottershead J.E., Stanway R., Identification of structural vibration parameters by using a frequency domain filter, Journal of Sound and Vibration, 109, 3, pp. 495-506, (1986)
  • [8] Tsai J.S., Chou Y.F., The identification of dynamic characteristics of a single bolt joint, Journal of Sound and Vibration, 125, 3, pp. 487-502, (1988)
  • [9] Celic D., Boltezar M., Identification of the Dynamic Properties of Joints Using Frequency-Response functions, Journal of Sound and Vibration, 317, 1-2, pp. 158-174, (2008)
  • [10] Tal S., Ozguven H.N., Dynamic characterization of bolted joints using FRF decoupling and optimization, Mechanical Systems and Signal Processing, 54-55, pp. 124-138, (2015)