Global Sensitivity Analysis for Vehicle-Track Interactions: Special Attention on Track Irregularities

被引:9
作者
Xu, Lei [1 ,2 ]
Zhai, Wanming [1 ]
Gao, Jianmin [1 ]
机构
[1] Southwest Jiaotong Univ, Train & Track Res Inst, Key Lab Tract Power, Chengdu 610031, Sichuan, Peoples R China
[2] Delft Univ Technol, Sect Railway Engn, NL-2628 LV Delft, Netherlands
来源
JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS | 2018年 / 13卷 / 03期
关键词
vehicle-track system; global sensitivity analysis; track irregularities; time-frequency analysis; dynamic model; COUPLED REACTION SYSTEMS; RAILWAY VEHICLE; STOCHASTIC-ANALYSIS; RATE COEFFICIENTS; MODEL; DYNAMICS; UNCERTAINTIES; DESIGN; INDEX;
D O I
10.1115/1.4038820
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The dynamic vehicle-track interactions are complex processes due to the highly nonlinear terms and spatially varying excitations in vehicle design, track maintenance, dynamic prediction, etc. Therefore, it is of importance to clarify the key factors affecting the dynamic behaviors of system components. In this paper, a comprehensive model is presented, which is capable of analyzing the global sensitivity of vehicle-track interactions. In this model, the vehicle-track interactions considering the nonlinear wheel-rail contact geometries are depicted in three-dimensional (3D) space, and then the approaches for global sensitivity analysis (GSA) and time-frequency analysis are combined with the dynamic model. In comparison to the local sensitivity analysis, the proposed model has accounted for the coupling contributions of various factors. Thus, it is far more accurate and reliable to evaluate the critical factors dominating the vehicle-track interactions. Based on the methods developed in the present study, numerical examples have been conducted to draw the following marks: track irregularities possess the dominant role in guiding the dynamic performance of vehicle-track systems, besides, the vertical stiffness of primary suspension and rail pads also shows significant influence on vertical acceleration of the car body and the wheel-rail vertical force, respectively. Finally, a method is developed to precisely extract the characteristic wavelengths and amplitude limits of track irregularities.
引用
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页数:12
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共 36 条
[1]   Parameters optimisation of a vehicle suspension system using a particle swarm optimisation algorithm [J].
Centeno Drehmer, Luis Roberto ;
Paucar Casas, Walter Jesus ;
Gomes, Herbert Martins .
VEHICLE SYSTEM DYNAMICS, 2015, 53 (04) :449-474
[2]   A new wheel/rail spatially dynamic coupling model and its verification [J].
Chen, G ;
Zhai, WM .
VEHICLE SYSTEM DYNAMICS, 2004, 41 (04) :301-322
[3]   STUDY OF SENSITIVITY OF COUPLED REACTION SYSTEMS TO UNCERTAINTIES IN RATE COEFFICIENTS .1. THEORY [J].
CUKIER, RI ;
FORTUIN, CM ;
SHULER, KE ;
PETSCHEK, AG ;
SCHAIBLY, JH .
JOURNAL OF CHEMICAL PHYSICS, 1973, 59 (08) :3873-3878
[4]   Control optimization of multibody systems using point- and piecewise defined optimization criteria [J].
Eberhard, P ;
Dignath, F .
ENGINEERING OPTIMIZATION, 2000, 32 (04) :417-438
[5]   A contact-area model for rail-pads connections in 2-D simulations: sensitivity analysis of train-induced vibrations [J].
Ferrara, R. ;
Leonardi, G. ;
Jourdan, F. .
VEHICLE SYSTEM DYNAMICS, 2013, 51 (09) :1342-1362
[6]   DESIGN SENSITIVITY ANALYSIS OF PLANAR MECHANISM AND MACHINE DYNAMICS [J].
HAUG, EJ ;
WEHAGE, R ;
BARMAN, NC .
JOURNAL OF MECHANICAL DESIGN-TRANSACTIONS OF THE ASME, 1981, 103 (03) :560-570
[7]   The influence of railpad stiffness on wheelset/track interaction and corrugation growth [J].
Ilias, H .
JOURNAL OF SOUND AND VIBRATION, 1999, 227 (05) :935-948
[8]   A ROBUST MEASURE OF UNCERTAINTY IMPORTANCE FOR USE IN FAULT TREE SYSTEM-ANALYSIS [J].
IMAN, RL ;
HORA, SC .
RISK ANALYSIS, 1990, 10 (03) :401-406
[9]   Sensitivity analysis of free vibration characteristics of an in situ railway concrete sleeper to variations of rail pad parameters [J].
Kaewunruen, Sakdirat ;
Remennikov, Alex M. .
JOURNAL OF SOUND AND VIBRATION, 2006, 298 (1-2) :453-461
[10]   Global Sensitivity Analysis Challenges in Biological Systems Modeling [J].
Kiparissides, A. ;
Kucherenko, S. S. ;
Mantalaris, A. ;
Pistikopoulos, E. N. .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2009, 48 (15) :7168-7180