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Dynamic modeling and parameter identification of a track stabilizing device coupled system

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Abstract

To explore the relationship between the dynamic model parameters of a stabilizing device coupled system and the quality status of a ballast bed, this study establishes a dynamic model of a frame-stabilizing device-rail sleeper system by combining track coupling dynamics with the operating mechanism of a stabilizing device and by using the lumped parameter method. Moreover, by combining the experimental results and nonlinear least squares identification method based on the trust-region reflective algorithm, the mapping relationship between the model parameters and the lateral resistance of the sleeper is discussed. In addition, the dynamic model is validated by numerical simulation using the fourth-order Runge-Kutta method. Results show that the model has good accuracy, and the acceleration peak error rates between the dynamic model response and the test data are all within 5 %; the lateral resistance of the sleeper is positively and negatively correlated with the transverse stiffness and transverse damping of the ballast bed in the system model, and the correlation coefficients are 0.96 and 0.89, respectively.

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Acknowledgments

This work was supported by the Natural Science Foundation of Sichuan Province (No. 2022NSFSC0395), the Natural Science Foundation of Sichuan Province (No. 2022NSFSC1991), and the Fundamental Research Funds for the Central Universities (No. 2682022CX011).

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Authors and Affiliations

  1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China

    Chunjun Chen, Huijie Qin, Meng Lin & Ji Deng

  2. The Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, 610031, China

    Chunjun Chen

Authors
  1. Chunjun Chen
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  2. Huijie Qin
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  3. Meng Lin
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  4. Ji Deng
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Corresponding author

Correspondence to Chunjun Chen.

Additional information

Chunjun Chen received the Ph.D. degree from Southwest Jiaotong University in 2006 and the M.A. degree from University of Electronic Science and Technology of China in 1993. He is a Professor of School of Mechanical Engineering, Southwest Jiaotong University, Director of Department of Measurement and Control and Mechano-electronic Measurement and Control Laboratorial Center and Deputy Director of the Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province. His research interests include vibration, noise and aerodynamics of high-speed trains, traffic equipment, electromechanical systems, advanced control and measurement theory, electromechanical control and measurement system.

Huijie Qin is currently a master’s candidate in School of Mechanical Engineering at Southwest Jiaotong University. His research interests are intelligent sensing, diagnosis and control of rail transportation operation and maintenance equipment.

Meng Lin is a doctoral candidate at Southwest Jiaotong University in Chengdu, China. He received his M.S. from Southwestern Petroleum University in Chengdu, China. His research interests include vehicle system dynamics, mechanical system dynamics and advanced control strategy.

Ji Deng received the B.E. degree in School of Instrument Science and Opto electronics Engineering from Hefei University of Technology, Hefei, China, in 2014, and the Ph.D. degree in School of Precision Instrument and Opto Electronics Engineering from Tianjin University, Tianjin, China, in 2021. He is currently an Assistant Professor with the School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China. His research interests include rail transit smart operation & maintenance, 3D sensing and related applications.

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Chen, C., Qin, H., Lin, M. et al. Dynamic modeling and parameter identification of a track stabilizing device coupled system. J Mech Sci Technol 37, 1685–1697 (2023). https://doi.org/10.1007/s12206-023-0310-3

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  • DOI: https://doi.org/10.1007/s12206-023-0310-3

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