Evaluation of bolted joints tightening force based on characteristic parameters
LUO Wenfeng1，YU Ling1,2
1. School of Mechanics and Construction Engineering, Jinan University, Guangzhou 510632, China;
2. MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University, Guangzhou, 510632, China
Abstract：In order to solve the ill-posed problem in characteristic parameters identification of bolted joints,the positive problem solving idea was adopted that an objective function was proposed for parameters identification based on the dynamic equations.In addition,the characteristic parameters were used to evaluate the bolt tightening force quantitatively.Firstly,the linear model of bolted joint was constructed and frequency response functions under different bolt tightening force were measured in model test.After obtaining the objective function,the particle swarm algorithm was used to identify the characteristic parameters under different bolt tightening force.The fitting curve for characteristic parameters and bolt tightening force was obtained and used to evaluate the bolt tightening force quantitatively.Finally,the validity and applicability of proposed method was verified by a series of numerical simulations and experimental studies.The illustrated results show that the proposed method can identify parameters accurately,and the fitting curve can be used to evaluate the bolt tightening force reliably.
罗文峰1，余岭1,2. 基于特征参数的栓接结合部螺栓预紧力评估[J]. 振动与冲击, 2019, 38(4): 121-128.
LUO Wenfeng1，YU Ling1,2. Evaluation of bolted joints tightening force based on characteristic parameters. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(4): 121-128.
[1] 中国航空研究院. 复合材料结构设计手册 [J]. 北京: 航空工业出版社, 2001.
[2] Kopsaftopoulos F P, Fassois S D. Statistical time series methods for damage diagnosis in a scale aircraft skeleton structure: loosened bolts damage scenarios [J]. Journal of Physics Conference Series, 2011, 012056.
[3] Yin T, Jiang Q H, Yuen K V. Vibration-based damage detection for structural connections using incomplete modal data by bayesian approach and model reduction technique [J]. Engineering Structures, 2017, 132: 260-277.
[4] 缑百勇, 陆秋海, 王波, 等. 利用固有频率异常值分析法检测螺栓拧紧力 [J]. 振动与冲击, 2015, (23): 77-82.
GOU Bai-yong, LU Qiu-hai, WANG Bo, et al. Bolt tightening force detection using outlier analysis of structural natural frequencies [J]. Journal of Vibration and Shock, 2015, (23): 77-82.
[5] 王丹生, 朱宏平, 鲁晶晶, 等. 基于压电导纳的钢框架螺栓松动检测试验研究 [J]. 振动与冲击, 2007, 26(10): 157-160.
WANG Dan-sheng, ZHU Hong-ping, LU Jing-jing, et al. Experimental study on detecting loosened bolts of a steel frame based on piezoelectric admittance [J]. Journal of Vibration and Shock, 2007, 26(10): 157-160.
[6] 杨智春, 张慕宇, 王乐. 飞机加筋壁板紧固件松脱损伤检测的自相关分析方法 [J]. 振动与冲击, 2011, 30(11): 13-16.
YANG Zhi-chun, ZHANG Mu-yu, WANG Le. Damage detection of fastener loosening aircraft stiffened panel by auto correlation analysis [J]. Journal of Vibration and Shock, 2011, 30(11): 13-16.
[7] Carri A D, Maio D D. Non linear finite element model validation of a lap-joint [C]. 33rd IMAC Conference and Exposition on Structural Dynamics, 2016, 279-291.
[8] Zhou Y, Nezhad H Y, Hou C, et al. A three dimensional implicit finite element damage model and its application to single-lap multi-bolt composite joints with variable clearance [J]. Composite Structures, 2015, 131: 1060-1072.
[9] Zhao Y, Yang C, Cai L, et al. Surface contact stress-based nonlinear virtual material method for dynamic analysis of bolted joint of machine tool [J]. Precision Engineering, 2015, 43: 230-240.
[10] Fasel T R, Todd M D, Park G. Active chaotic excitation for bolted joint monitoring [J]. Proc Spie, 2006, 6174: 567-574.
[11] Ren Y, Beards C F. On substructure synthesis with FRF data [J]. Journal of Sound & Vibration, 1995, 185(5): 845-866.
[12] 李玲, 蔡力钢, 郭铁能, 等. 机械结合部动态刚度辨识与实验研究 [J]. 振动工程学报, 2012, 25(5): 488-496.
LI Ling, CAI Li-gang, GUO Tie-neng, et al. Identification and experimental research on dynamic stiffness of mechanical joints [J]. Journal of Vibration Engineering. 2012, 25(5): 488-496.
[13] Tol S, Ozguven H N. Dynamic characterization of bolted joints
using FRF decoupling and optimization [J]. Mechanical Systems and Signal Processing. 2015, 54: 124-138.
