Global sensitivity analysis on the ride quality of railway vehicle with stochastic suspension parameters

被引：0
作者：
20153701268563
机构：
[1] School of Urban Rail Transportation, Soochow University, Suzhou
来源：
Li, Cheng (lishuang@suda.edu.cn) | 2015年 / Science Press卷 / 37期
关键词：
Global sensitivity; Pseudo-excitation method; Railway vehicle; Ride quality; Stochastic parameters;
D O I：
10.3969/j.issn.1001-8360.2015.08.005
中图分类号：
学科分类号：
摘要：
A vertical multi-rigid-body system model for railway vehicles based on generalized Ruzicka vibration isolation system was established by considering the rubber node stiffness at both ends of suspension dampers. The vertical random vibration response of the vehicle and Sperling stability index were determined with the pseudo-excitation method, and the relations between suspension parameters and Sperling index were developed. The Latin hypercube sampling method was introduced to simulate the samples of Sperling index under stochastic suspension parameters. Further, a global sensitivity analysis method was utilized to reveal the effects of stiffness ratios of damper rubber nodes on the Sperling index relevant to first-order sensitivities and total sensitivities of stochastic suspension parameters. Results showed that the uncertainty of ride quality index caused by multiple variable suspension parameters was higher than that caused by a single variable suspension parameter under the same variation coefficients of parameters. The uncertainty of ride quality index was mainly derived from the variation of secondary suspension stiffness and damping, and certain coupling interactions between stochastic suspension parameters were observed. The variation of the stiffness ratios of the damper nodes showed a significant influence on the sensitivity of the stochastic suspension parameters. ©, 2015, Science Press. All right reserved.
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页码：29 / 35
页数：6
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