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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:动力学与控制. 计算力学
办公地点:综合实验1号楼503房间
联系方式:1063951580(QQ号码)
电子邮箱:yzhao@dlut.edu.cn
Symplectic random vibration analysis of a vehicle moving on an infinitely long periodic track
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论文类型:期刊论文
发表时间:2010-10-11
发表刊物:JOURNAL OF SOUND AND VIBRATION
收录刊物:SCIE、EI、Scopus
卷号:329
期号:21
页面范围:4440-4454
ISSN号:0022-460X
摘要:Based on the pseudo-excitation method (PEM), symplectic mathematical scheme and Schur decomposition, the random responses of coupled vehicle-track systems are analyzed. The vehicle is modeled as a spring-mass-damper system and the track is regarded as an infinitely long substructural chain consisting of three layers, i.e. the rails, sleepers and ballast. The vehicle and track are coupled via linear springs and the "moving-vehicle model" is adopted. The latter assumes that the vehicle moves along a static track for which the rail irregularity is further assumed to be a zero-mean valued stationary Gaussian random process. The problem is then solved efficiently as follows. Initially, PEM is used to transform the rail random excitations into deterministic harmonic excitations. The symplectic mathematical scheme is then applied to establish a low degree of freedom equation of motion with periodic coefficients. In turn these are transformed into a linear equation set whose upper triangular coefficient matrix is established using the Schur decomposition scheme. Finally, the frequency-dependent terms are separated from the load vector to avoid repeated computations for different frequencies associated with the pseudo-excitations. The proposed method is subsequently justified by comparison with a Monte-Carlo simulation; the fixed-vehicle model and the moving-vehicle model are compared and the influences of vehicle velocity and class of track on system responses are also discussed. (C) 2010 Elsevier Ltd. All rights reserved.