Wind and Structures

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

The impact of artificial discrete simulation of wind field on vehicle running performance

  • Wu, Mengxue (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Li, Yongle (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Chen, Ning (Department of Bridge Engineering, Southwest Jiaotong University)
  • Received : 2014.11.18
  • Accepted : 2015.01.05
  • Published : 2015.02.25
⟨ Previous Next ⟩

Abstract

To investigate the effects of "sudden change" of wind fluctuations on vehicle running performance, which is caused by the artificial discrete simulation of wind field, a three-dimensional vehicle model is set up with multi-body dynamics theory and the vehicle dynamic responses in crosswind conditions are obtained in time domain. Based on Hilbert Huang Transform, the effects of simulation separations on time-frequency characteristics of wind field are discussed. In addition, the probability density distribution of "sudden change" of wind fluctuations is displayed, addressing the effects of simulation separation, mean wind speed and vehicle speed on the "sudden change" of wind fluctuations. The "sudden change" of vehicle dynamic responses, which is due to the discontinuity of wind fluctuations on moving vehicle, is also analyzed. With Principal Component Analysis, the comprehensive evaluation of vehicle running performance in crosswind conditions at different simulation separations of wind field is investigated. The results demonstrate that the artificial discrete simulation of wind field often causes "sudden change" in the wind fluctuations and the corresponding vehicle dynamic responses are noticeably affected. It provides a theoretical foundation for the choice of a suitable simulation separation of wind field in engineering application.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

References

  1. Baker, C.J. (1986), "Train aerodynamic forces and moments from moving model experiments", J. Wind Eng. Ind. Aerod., 24(3), 227-251. https://doi.org/10.1016/0167-6105(86)90024-3
  2. Baker, C.J. (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. Balzer, L.A. (1977), "Atmospheric turbulence encountered by high-speed ground transport vehicles", J. Mech. Eng. Sci., 19, 227-235. https://doi.org/10.1243/JMES_JOUR_1977_019_047_02
  4. Cai, C.S. and Chen, S.R. (2004), "Framework of vehicle-bridge-wind dynamic analysis", J. Wind Eng. Ind. Aerod., 92(7-8), 579-607. https://doi.org/10.1016/j.jweia.2004.03.007
  5. Cao, Y.H., Xiang, H.F. and Zhou, Y. (2000), "Simulation of stochastic wind velocity field on long-span bridges", J. Eng. Mech. - ASCE, 126(1), 1-6. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:1(1)
  6. 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
  7. Chen, N., Li, Y.L. and Xiang, H.Y. (2014), "A new simulation algorithm of multivariate short-term stochastic wind velocity field based on inverse fast Fourier transform", Eng. Struct., 80, 251-259. https://doi.org/10.1016/j.engstruct.2014.09.012
  8. Cooper, R.K. (1981), "The effect of cross-winds on trains", J. Fluid. Eng. - T ASME, 103(1), 170-178. https://doi.org/10.1115/1.3240768
  9. Cooper, R.K. (1984), "Atmospheric turbulence with respect to moving ground vehicles", J. Wind Eng. Ind. Aerod., 17(2), 215-238. https://doi.org/10.1016/0167-6105(84)90057-6
  10. Davenport, A.G. (1962), "The spectrum of horizontal gustiness near the ground in high winds", Q. J. Roy. Meteorol. Soc., 88(376), 197-198. https://doi.org/10.1002/qj.49708837618
  11. Deodatis, G. (1996), "Simulation of ergodic multivariate stochastic processes", J. Eng. Mech. - ASCE, 122(8), 778-787. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:8(778)
  12. Diedrichs, B. (2006), Studies of two aerodynamics effects on high-speed trains crosswind stability and discomforting car body vibrations inside tunnels, Ph.D. Dissertation, Aeronautical and Vehicle Engineering, Royal Institute of Technology, Stockholm, Sweden.
  13. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.C. and Liu, H.H. (1998), "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis", P. R. Soc. Lond., 454, 903-995. https://doi.org/10.1098/rspa.1998.0193
  14. Jolliffe, I.T. (2002), Principal component analysis, Springer, New York.
  15. Kaimal, J.C., Wyngaard, J.C., Izumi, Y. and Cote, O.R. (1972), "Spectral characteristics of surface-layer turbulence", Q. J. Roy. Meteorol. Soc., 98(417), 563-589. https://doi.org/10.1002/qj.49709841707
  16. Li, Y.L., Liao, H.L. and Qiang, S.Z. (2004), "Simplifying the simulation of stochastic wind velocity fields for long cable-stayed bridges", Comput. Struct., 80(20-21), 1591-1598.
  17. Li, Y.L., Qiang, S.Z., Liao, H.L. and Xu, Y.L. (2005), "Dynamics of wind-rail vehicle-bridge systems", J. Wind Eng. Ind. Aerod., 93(6), 483-507. https://doi.org/10.1016/j.jweia.2005.04.001
  18. Li, Y.L., Xiang, H.Y., Wang, B., Xu, Y.L. and Qiang, S.Z. (2013), "Dynamic analysis f wind-vehicle-bridge system with two trains interaction", Adv. Struct. Eng., 16(10), 1663-1670. https://doi.org/10.1260/1369-4332.16.10.1663
  19. Li, Y.L., Hu, P., Xu, Y.L., Zhang, M.J. and Liao, H.L. (2014), "Wind loads on a moving vehicle-bridge deck system by wind-tunnel model test", Wind. Struct., 19(2), 145-167. https://doi.org/10.12989/was.2014.19.2.145
  20. Liu, H.T. (2011), Dynamic responses of coupled train, automobile and bridge system under strong wind and analysis of running safety and riding comfort of vehicles, Ph.D. Dissertation, Bridge and Tunnel Engineering, Central South University, Hunan. (in Chinese)
  21. Shinozuka, M. and Deodatis, G. (1991), "Simulation of stochastic processes by spectral representation", Appl. Mech. Rev., 44(4), 191-204. https://doi.org/10.1115/1.3119501
  22. Suzuki, M., Tanemoto, K. and Maeda, T. (2003), "Aerodynamic characteristics of train/vehicles under cross winds", J. Wind Eng. Ind. Aerod., 91(1-2), 209-218. https://doi.org/10.1016/S0167-6105(02)00346-X
  23. Wu, M.X., Li, Y.L., Chen, X.Z. 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
  24. Xu, Y.L. and Ding, Q.S. (2006), "Interaction of railway vehicles with track in cross-winds", J. Fluid.Struct., 22(3), 295-314. https://doi.org/10.1016/j.jfluidstructs.2005.11.003
  25. Yi, T.H., Li, H.N. and Gu, M. (2013), "Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge", Measurement, 46(1), 420-432. https://doi.org/10.1016/j.measurement.2012.07.018

Cited by

  1. Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network vol.2019, pp.None, 2015, https://doi.org/10.1155/2019/8130240
  2. Experimental and numerical research on wind characteristics affected by actual mountain ridges and windbreaks: a case study of the Lanzhou-Xinjiang high-speed railway vol.14, pp.1, 2015, https://doi.org/10.1080/19942060.2020.1831963