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Research Papers

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

[+] Author and Article Information
Lei Xu

Train and Track Research Institute,
Key Laboratory of Traction Power,
Southwest Jiaotong University,
Chengdu 610031, China;
Section of Railway Engineering,
Delft University of Technology,
Delft 2628LV, The Netherlands

Wanming Zhai

Train and Track Research Institute,
Key Laboratory of Traction Power,
Southwest Jiaotong University,
Chengdu 610031, China
e-mail: wmzhai@swjtu.edu.cn

Jianmin Gao

Train and Track Research Institute,
Key Laboratory of Traction Power,
Southwest Jiaotong University,
Chengdu 610031, China

1Corresponding author.

Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS. Manuscript received September 6, 2017; final manuscript received December 12, 2017; published online January 10, 2018. Assoc. Editor: Xiaobo Yang.

J. Comput. Nonlinear Dynam 13(3), 031007 (Jan 10, 2018) (12 pages) Paper No: CND-17-1407; doi: 10.1115/1.4038820 History: Received September 06, 2017; Revised December 12, 2017

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.

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Figures

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Fig. 1

3D vehicle–slab track coupled model: (a) side view and (b) end view. 1—car body; 2—bogie frame; 3—wheelset; 4—rail irregularities; 5—rails; 6—rail pads; 7—track slabs; 8—CA mortar; and 9—subgrade; ξi, i=1,2,3,4, denotes the distance between the ith wheel/rail contact point and the left node of the rail beam element.

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Fig. 3

Representation of track irregularities [34]

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Fig. 5

Sensitivity indices of input factors with regard to wheel–rail vertical force: (a) FOSI against time, (b) average FOSI, and (c) average total effect index

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Fig. 6

Sensitivity indices of input factors with regard to wheel–rail lateral force: (a) FOSI against time, (b) average FOSI, and (c) average total effect index

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Fig. 2

Wheel–rail coupling model with consideration of rail vibrations. ORspatial contact point; B—center of the rolling circle; A—intersection point between normal line of contact point and wheel central line; Oworigin of the wheelset coordinate system; OR′,B′,A′, and Ow′ represent the projective points of OR, B, A, and Ow at O-X-Y-Z plane; and Ow″ is the projective point of Ow′ at O-Y axis.

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Fig. 4

Illustrative framework for GSA of vehicle–track interactions

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Fig. 8

Key information for wheel–rail vertical force: (a) assemblage of dynamic responses, (b) the FOSI with respect to the maximum wheel–rail vertical force, and (c) track vertical profile irregularity including the local irregularities inducing the maximum response

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Fig. 7

Average sensitivity indices for different dynamic indices: (a) lateral acceleration of the car body, (b) vertical acceleration of the car body, (c) railpad lateral force, and (d) railpad vertical force. Abscissa description: 1 − γ1, 2 − γ2, 3 − γ3, 4 − γ4, 5 − kpy, 6 − kpz, 7 − krp,y, and 8 − krp,z.

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Fig. 9

Abstraction of the characteristic wavelength for the fourth-order detail signal after wavelet decomposition: (a) Wigner–Hough transform and (b) Wavelet–Wigner distribution

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Fig. 10

The relations between the maximum irregularity amplitude and the wheel–rail vertical force

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