Wind and Structures

  • 제33권1호
  • /
  • Pages.1-11
  • /
  • 2021
  • /
  • 1226-6116(pISSN)
  • /
  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Overturning assessment of railway vehicles under cross winds

  • Yao, Zhiyong (School of Civil Engineering, Guangzhou University) ;
  • Zhang, Nan (School of Civil Engineering, Beijing Jiaotong University)
  • 투고 : 2020.06.19
  • 심사 : 2021.06.18
  • 발행 : 2021.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

The overturning issues in a strong wind are extremely critical to the railway vehicles, which have attracted a great deal of attention over the years. To address such problems, this paper introduces a dynamic reliability approach to evaluate the overturning risk of vehicles in crosswinds. Starting from the aerodynamic model, a novel prediction formula of unsteady crosswind forces with a consideration of the complete turbulent field effect is derived. Using the pseudo-excitation method (PEM), the power spectrum of vehicle responses is then calculated by the established vehicle model, and finally the corresponding results are used to assess the probabilistic overturning of vehicles in terms of the dynamic reliability analysis. It is found from the calculations that the time-dependent failure probability curves are related to the vehicle speed, wind speed, and crosswind direction, and the probabilistic characteristic wind curves (PCWCs) at different failure probabilities are more useful and reasonable for evaluating the overturning risk in comparison with the traditional characteristic wind curves (CWCs) in previous investigations. Furthermore, the probabilistic characteristic wind surface (PCWS) that considers the effect of crosswind direction, is developed, and it reveals that the vehicle is most vulnerable at a condition of perpendicular crosswind direction.

키워드

과제정보

This work was accomplished by the support of the National Natural Science Foundation of China (Grant No. 51720105005).

참고문헌

  1. Baker, C. (2010), "The simulation of unsteady aerodynamic cross wind forces on trains", J. Wind Eng. Ind. Aerod., 98(2), 88-99. https://doi.org/10.1016/j.jweia.2009.09.006.
  2. Baker, C. (2013), "A framework for the consideration of the effects of crosswinds on trains", J. Wind Eng. Ind. Aerod., 123, 130-142. https://doi.org/10.1016/j.jweia.2013.09.015.
  3. Cao, Y., Xiang, H. and Zhou, Y. (2000), "Simulation of stochastic wind velocity field on long-span bridges", J. Eng. Mech., 126(1), 1-6. https://doi.org/10.1061/(ASCE)07339399(2000)126:1(1).
  4. Cheli, F., Corradi, R. and Tomasini, G. (2012), "Crosswind action on rail vehicles: A methodology for the estimation of the characteristic wind curves", J. Wind Eng. Ind. Aerod., 104-106, 248-255. https://doi.org/10.1016/j.jweia.2012.04.006.
  5. Cooper, R.K. (1984), "Atmospheric turbulence with respect to moving ground vehicles", J. Wind Eng. Ind. Aerod., 17, 215-238. https://doi.org/10.1016/0167-6105(84)90057-6.
  6. Davenport, A. (1964), "Note on the distribution of the largest value of a random function with application to gust loading", Proceedings of the Institution of Civil Engineers, 28(2), 187-196. https://doi.org/10.1680/iicep.1964.10112.
  7. Diedrichs, B., Ekequist, M., Stichel, S. and Tengstrand, H. (2004), "Quasi-static modelling of wheel-rail reactions due to crosswind effects for various types of high-speed rolling stock", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail & Rapid Transit, 218(2), 133-148. https://doi.org/10.1243/0954409041319614.
  8. Ding, Y., Sterling, M. and Baker, C. (2008), "An alternative approach to modelling train stability in high cross winds", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 222(1), 85-97. https://doi.org/10.1243/09544097JRRT138.
  9. EN 14067-6 (2018), "Railway Applications Aerodynamics-Part 6: Requirements and test procedures for cross wind assessment", CEN, Brussels, EU
  10. Giappino, S., Rocchi, D., Schito, P. and Tomasini, G. (2016), "Cross wind and rollover risk on lightweight railway vehicles", J. Wind Eng. Ind. Aerod., 153, 106-112. https://doi.org/10.1016/j.jweia.2016.03.013.
  11. He X., Zhou L., Chen Z., Jing H., Zou Y. and Wu T. (2019), "Effect of wind barriers on the flow field and aerodynamic forces of a train-bridge system", Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail & Rapid Transit, 233(3), 283-297. https://doi.org/10.1177/0954409718793220.
  12. Li, X., Xiao, J., Liu, D., Wang, M. and Zhang, D. (2017), "An analytical model for the fluctuating wind velocity spectra of a moving vehicle", J. Wind Eng. Ind. Aerod., 164, 34-43. https://doi.org/10.1016/j.jweia.2017.02.007.
  13. Li, Y., Qiang, S., Liao, H. and Xu, Y. (2005), "Dynamics of windrail vehicle-bridge systems", J. Wind Eng. Ind. Aerod., 93(6), 483-507. https://doi.org/10.1016/j.jweia.2005.04.001.
  14. Lin, J., Zhang, W. and Li, J. (1994), "Structural responses to arbitrarily coherent stationary random excitations", Comput. Struct., 50(5), 629-633. https://doi.org/10.1016/0045-7949(94)90422-7.
  15. Rice, O. (1945), "Mathematical analysis of random noise", Bell. Syst. Tech. J., 24, 46-156. https://doi.org/10.1002/j.1538-7305.1945.tb00453.x
  16. Sterling, M., Baker, C., Bouferrouk, A., Oneil, H., Wood, S. and Crosbie, E. (2009), "An investigation of the aerodynamic admittances and aerodynamic weighting functions of trains", J. Wind Eng. Ind. Aerod., 97(11-12), 512-522. https://doi.org/10.1016/j.jweia.2009.07.009.
  17. TB 10621 (2015), Code for Design of High-Speed Railway, China Railway Press, Beijing, China
  18. Tomasini, G. and Cheli, F. (2013), "Admittance function to evaluate aerodynamic loads on vehicles: Experimental data and numerical model", J. Fluids Struct., 38, 92-106. https://doi.org/10.1016/j.jfluidstructs.2012.12.009.
  19. Vanmarcke, E. (1975), "On the distribution of the first-passage time for normal stationary random processes", J. Appl. Mech., 42(1), 2130-2135. https://doi.org/10.1115/1.3423521.
  20. Wang B., Xu Y., Zhu L. and Li Y. (2014), "Crosswind effects on high-sided road vehicles with and without movement", Wind Struct., 18(2), 155-180. https://doi.org/10.12989/was.2014.18.2.155.
  21. Wetzel, C. and Proppe, C. (2010), "On reliability and sensitivity methods for vehicle systems under stochastic crosswind loads", Vehicle Syst. Dyn., 48(1), 79-95. https://doi.org/10.1080/00423110903183917.
  22. Wu, M., Li, Y., Chen, X. and Hu, P. (2014), "Wind spectrum and correlation characteristics relative to vehicles moving through cross wind field", J. Wind Eng. Ind. Aerod., 133, 92-100. https://doi.org/10.1016/j.jweia.2014.08.004.
  23. Xu, Y. and Ding, Q. (2006), "Interaction of railway vehicles with track in cross winds", J. Fluids Struct., 22(3), 295-314. https://doi.org/10.1016/j.jfluidstructs.2005.11.003.
  24. Yan, N., Chen, X. and Li, Y. (2018), "Assessment of overturning risk of high-speed trains in strong crosswinds using spectral analysis approach", J. Wind Eng. Ind. Aerod., 174, 103-118. https://doi.org/10.1016/j.jweia.2017.12.024.
  25. Yao, Z., Zhang, N., Chen, X., Zhang, C. He, X. and Li, X. (2020), "The effect of moving train on the aerodynamic performances of train-bridge system with a crosswind", Eng. Appl. Comput. Fluid Mech., 14(1), 222-235. https://doi.org/10.1080/19942060.2019.1704886.
  26. Yu, M., Liu, J., Liu, D., Chen, H. and Zhang, J. (2016), "Investigation of aerodynamic effects on the high-speed train exposed to longitudinal and lateral wind velocities", J. Fluids Struct., 61, 347-361. https://doi.org/10.1016/j.jfluidstructs.2015.12.005.
  27. Zhai W., Yang J., Li Z. and Han H. (2015), "Dynamics of highspeed train in crosswinds based on an air-train-track interaction model", Wind Struct., 20(2), 143-168. https://doi.org/10.12989/was.2015.20.2.143.
  28. Zhang, N., Xia, H., Guo, W. and Roeck, G. (2010), "A vehicle-bridge linear interaction model and its validation", Int. J. Struct. Stability Dyn., 10(02), 335-361. https://doi.org/10.1142/S0219455410003464.
  29. Zhang, X. (2015), Crosswind Stability of Vehicles under Nonstationary Wind Excitation, Ph.D. Dissertation, Karlsruhe Institute of Technology, Karlsruhe