Statistics of complex eigenvalues in friction-induced vibration

被引:44
作者
Nobari, Amir [1 ]
Ouyang, Huajiang [1 ]
Bannister, Paul [2 ]
机构
[1] Univ Liverpool, Sch Engn, Liverpool L69 3GH, Merseyside, England
[2] Jaguar Land Rover, Coventry CV3 4LF, W Midlands, England
关键词
MODE-COUPLING INSTABILITY; SELF-EXCITED VIBRATIONS; DISC BRAKE SQUEAL; NONCONSERVATIVE SYSTEMS; DESTABILIZATION PARADOX; INDUCED OSCILLATIONS; STABILITY ANALYSIS; POLYNOMIAL CHAOS; UNCERTAINTY; EIGENVECTORS;
D O I
10.1016/j.jsv.2014.10.017
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Self-excited vibrations appear in many mechanical systems with sliding contacts. There are several mechanisms whereby friction can cause the self-excited vibration to become unstable. Of these mechanisms, mode coupling is thought to be responsible for generating annoying high-frequency noise and vibration in brakes. Conventionally, in order to identify whether a system is stable or not, complex eigenvalue analysis is performed. However, what has recently received much attention of researchers is the variability and uncertainty of input variables in the stability analysis of self-excited vibrations. For this purpose, a second-order perturbation method is extended and employed in the current study. The moments of the output distribution along with its joint moment generating function are used for quantifying the statistics of the complex eigenvalues. Moreover, the eigen-derivatives required for the perturbation method are presented in a way that they can deal with the asymmetry of the stiffness matrix and non-proportional damping. Since the eigen-derivatives of such systems are complex-valued numbers, it is mathematically more informative and convenient to derive the statistics of the eigenvalues in a complex form, without decomposing them into two real-valued real and imaginary parts. Then, the variance and pseudo-variance of the complex eigenvalues are used for determining the statistics of the real and imaginary parts. The reliability and robustness of the system in terms of stability can also be quantified by the approximated output distribution. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:169 / 183
页数:15
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