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Wind characteristics in the high-altitude difference at bridge site by wind tunnel tests

  • Zhang, Mingjin (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Zhang, Jinxiang (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Li, Yongle (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Yu, Jisheng (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Zhang, Jingyu (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Wu, Lianhuo (Department of Bridge Engineering, Southwest Jiaotong University)
  • Received : 2019.09.05
  • Accepted : 2020.03.09
  • Published : 2020.06.25

Abstract

With the development of economy and construction technology, more and more bridges are built in complex mountainous areas. Accurate assessment of wind parameters is important in bridge construction at complex terrain. In order to investigate the wind characteristics in the high-altitude difference area, a complex mountain terrain model with the scale of 1:2000 was built. By using the method of wind tunnel tests, the study of wind characteristics including mean wind characteristics and turbulence characteristics was carried out. The results show: The wind direction is affected significant by the topography, the dominant wind direction is usually parallel to the river. Due to the sheltering effect of the mountain near the bridge, the wind speed and wind attack angle along the bridge are both uneven which is different from that at flat terrain. In addition, different from flat terrain, the wind attack angle is mostly negative. The wind profiles obey exponential law and logarithmic law. And the fitting coefficient is consistent with the code which means that it is feasible to use the method of wind tunnel test to simulate complex terrain. As for turbulence characteristics, the turbulence intensity is also related to the topography. Increases sheltering effect of mountain increases the degree of breaking up the large-scale vortices, thereby increasing the turbulence intensity. Also, the value of turbulence intensity ratio is different from the recommended values in the code. The conclusions of this study can provide basis for further wind resistance design of the bridge.

Keywords

Acknowledgement

The work described in this paper was fully supported by a grant from the National Key Research and Development Program of China (No. 2018YFC1507800), grants from the National Natural Science Foundation of China (nos. 51525804, 51708464), a grant from Primary Research & Development Plan of Sichuan Province (2019YFG0001), a grant from the Hunan Provincial Transportation Science and Technology Project (No. 201615), and a grant from the Fundamental Research Funds for the Central Universities (No. 2682019CX02).

References

  1. Bastos F., Caetano E., Cunha A., Cespedes X. and Flamand O. (2018), "Characterisation of the wind properties in the Grande Ravine viaduct", J. Wind Eng. Ind. Aerod., 173, 112-131. https://doi.org/10.1016/j.jweia.2017.12.0https://doi.org/10.1016/j.jweia.2017.12.012 12.
  2. Belu R. and Koracin D. (2013), "Statistical and spectral analysis of wind characteristics relevant to wind energy assessment using tower measurements in complex terrain", J. Wind Energy, 2013, 1-12. https://doi.org/10.1155/2013/739162.
  3. Carpenter P. and Locke N. (1999), "Investigation of wind speeds over multiple two-dimensional hills", J. Wind Eng. Ind. Aerod., 83(1), 109-120. https://doi.org/10.1016/S0167-6105(99)00065-3.
  4. Conan, B., Chaudhari, A., Aubrun, S., Van Beeck, J., Hämäläinen, J. and Hellsten, A. (2016), "Experimental and numerical modelling of flow over complex terrain: The bolund hill", Bound. Layer Meteorol., 158(2), 183-208. https://doi.org/10.1007/s10546-015-0082-0.
  5. Cuerva‐Tejero A., Avila‐Sanchez S., Gallego‐Castillo C., Lopez‐Garcia O., Perez‐Alvarez J. and Yeow T.S. (2018), "Measurement of spectra over the Bolund hill in wind tunnel", Wind Energy, 21(2), 87-99. https://doi.org/10.1002/we.2146.
  6. Fenerci A. and Oiseth O. (2017), "Measured buffeting response of a long-span suspension bridge compared with numerical predictions based on design wind spectra", J. Struct. Eng., 143(9), 04017131. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001873.
  7. Fenerci A. and Oiseth O. (2018), "Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm", J. Wind Eng. Ind. Aerod., 172, 116-138. https://doi.org/10.1016/j.jweia.2017.10.030.
  8. Fenerci A., Oiseth O. and Ronnquist A. (2017), "Long-term monitoring of wind field characteristics and dynamic response of a long-span suspension bridge in complex terrain", Eng. Struct., 147(15), 269-284. https://doi.org/10.1016/j.engstruct.2017.05.070.
  9. Hu, P., Han, Y., Xu, G., Cai, C.S. and Cheng, W. (2020), "Effects of inhomogeneous wind fields on the aerostatic stability of a long-span cable-stayed bridge located in a mountain-gorge terrain", J. Aerosp. Eng., 33(3), https://doi.org/10.1061/(ASCE)AS.1943-5525.0001117.
  10. Hu, P., Li, Y.L., Huang, G.Q., Kang, R. and Liao, H.L. (2015), "The appropriate shape of the boundary transition section for a mountain-gorge terrain model in a wind tunnel test", Wind Struct., 20(1), 15-36. http://dx.doi.org/10.12989/was.2015.20.1.015.
  11. Huang, G., Jiang, Y., Peng, L., Solari, G., Liao, H. and Li, M. (2019), "Characteristics of intense winds in mountain area based on field measurement: Focusing on thunderstorm winds", J. Wind Eng. Ind. Aerod., 190, 166-182. https://doi.org/10.1016/j.jweia.2019.04.020.
  12. Hui M.C.H., Larsen A. and Xiang H.F. (2009a), "Wind turbulence characteristics study at the Stonecutters Bridge site: Part II: Wind power spectra, integral length scales and coherences", J. Wind Eng. Ind. Aerod., 97(1), 48-59. https://doi.org/10.1016/j.jweia.2008.11.003.
  13. Hui M.C.H., Larsen A. and Xiang H.F. (2009b), "Wind turbulence characteristics study at the Stonecutters Bridge site: Part I-Mean wind and turbulence intensities", J. Wind Eng. Ind. Aerod., 97(1), 22-36. https://doi.org/10.1016/j.jweia.2008.11.002.
  14. Iizuka, S. and Kondo, H. (2004), "Performance of various sub-grid scale models in large-eddy simulations of turbulent flow over complex terrain", Atmos. Environ., 38(40), 7083-7091. https://doi.org/10.1016/j.atmosenv.2003.12.050.
  15. Ishihara, T., Hibi, K. and Oikawa, S. (1999), "A wind tunnel study of turbulent flow over a three-dimensional steep hill", J. Wind Eng. Ind. Aerod., 83(1-3), https://doi.org/10.1016/S0167-6105(99)00064-1.
  16. JTG/T D60-01-2004 (2004), "Wind-resistent design specification for highway bridges ministry of transport of the people's Republic of China, Beijing", China (in Chinese).
  17. Kim, H.G., Lee, C.M., Lim, H.C. and Kyong, N.H. (1997), "An experimental and numerical study on the flow over two-dimensional hills", J. Wind Eng. Ind. Aerod., 66(1), 17-33. https://doi.org/10.1016/S0167-6105(97)00007-X.
  18. Li Y., Hu P., Xu X., and Qiu J., (2017), "Wind characteristics at bridge site in a deep-cutting gorge by wind tunnel test", J. Wind Eng. Ind. Aerodyn., 160, 30-46. https://doi.org/10.1016/j.jweia.2016.11.002
  19. Lystad, T.M., Fenerci, A. and Oiseth, O. (2018), "Evaluation of mast measurements and wind tunnel terrain models to describe spatially variable wind field characteristics for long-span bridge design", J. Wind Eng. Ind. Aerod., 179, 558-573. https://doi.org/10.1016/j.jweia.2018.06.021.
  20. Mattuella, J.M.L., Loredo-Souza, A.M., Oliveira, M.G.K., and Petry, A.P. (2016), "Wind tunnel experimental analysis of a complex terrain micrositing", Renew. Sustain. Energy Rev., 54, 110-119. https://doi.org/10.1016/j.rser.2015.09.088.
  21. Mingjin, Z., Jisheng, Y., Jingyu, Z., Lianhuo, W. and Yongle, L. (2019), "Study on the wind-field characteristics over a bridge site due to the shielding effects of mountains in a deep gorge via numerical simulation", Adv. Struct. Eng., 22(14), 3055-3065. https://doi.org/10.1177%2F1369433219857859. https://doi.org/10.1177/1369433219857859
  22. Pirooz, A.A.S. and Flay, R.G.J. (2018), "Comparison of speed-up over hills derived from wind-tunnel experiments, wind-loading standards and numerical modelling", Bound. Layer Meteorol., 168(2), 213-246. https://doi.org/10.1007/s10546-018-0350-x.
  23. Ramechecandane, S. and Gravdahl, A.R. (2012), "Numerical investigations on wind flow over complex terrain", Wind Eng., 36(3), 273-295. https://doi.org/10.1260%2F0309-524X.36.3.273. https://doi.org/10.1260/0309-524X.36.3.273
  24. Rasouli A., Hangan H., and Siddiqui K., (2009), "PIV measurements for a complex topographic terrain", J. Wind Eng. Ind. Aerodyn., 97(5), 242-254. https://doi.org/10.1016/j.jweia.2009.06.010
  25. Salmon, J.R. and Walmsley, J.L. (1999), "A two-site correlation model for wind speed, direction and energy estimates", J. Wind Eng. Ind. Aerod., 79(3), 233-268. https://doi.org/10.1016/S0167-6105(98)00119-6.
  26. Ti, Z., Wei, K., Li, Y. and Xu, B. (2020), "Effect of wave spectral variability on stochastic response of a long-span bridge subjected to random waves during tropical cyclones", J. Bridge Eng., 25(1), https://doi.org/10.1061/(ASCE)BE.1943-5592.0001517.
  27. Ti, Z., Zhang, M., Li, Y. and Wei, K. (2019), "Numerical study on the stochastic response of a long-span sea-crossing bridge subjected to extreme nonlinear wave loads", Eng. Struct., 196(1), https://doi.org/10.1016/j.engstruct.2019.109287.
  28. Wang, H., Li, A., Guo, T. and Xie, J. (2009), "Field measurement on wind characteristic and buffeting response of the Runyang Suspension Bridge during typhoon Matsa", Sci. China Ser. E Technol. Sci., 52(5), 1354-1362. https://doi.org/10.1007/s11431-008-0238-y.
  29. Wei, K., Zhang, J. and Qin, S. (2019), "Experimental and numerical assessment into frequency domain dynamic response of deep water rigid-frame bridge", J. Earthq. Eng., 1-24. https://doi.org/10.1080/13632469.2019.1684402.
  30. Xu, Y.L., Zhu, L.D., Wong, K.Y. and Chan, K.W.Y. (2000), "Field measurement results of Tsing Ma suspension Bridge during Typhoon Victor", Struct. Eng. Mech., 10(6), 545-559. https://doi.org/10.12989/sem.2000.10.6.545.
  31. Yang, D.H., Yi, T.H., Li, H.N. and Zhang, Y.F. (2018), "Monitoring-based analysis of the static and dynamic characteristic of wind actions for long-span cable-stayed bridge", J. Civ. Struct. Health Monit., 8(1), 5-15. https://doi.org/10.1007/s13349-017-0257-0.
  32. Yu, C., Li, Y., Zhang, M., Zhang, Y. and Zhai, G. (2019), "Wind characteristics along a bridge catwalk in a deep-cutting gorge from field measurements", J. Wind Eng. Ind. Aerod., 186, 94-104. https://doi.org/10.1016/j.jweia.2018.12.022.
  33. Zhang M. (2016), "Field measurement and numerical simulation of wind characteristics of bridge site in complex terrain", Ph. D. Dissertation, Southwest Jiaotong University, China.
  34. Zhang, J., Zhang, M., Li, Y. and Fang, C. (2020), "Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement", Adv. Struct. Eng., 23(2), 219-233. https://doi.org/10.1177%2F1369433219868074. https://doi.org/10.1177/1369433219868074
  35. Zhang, M., Li, Y., Tang, H., Zhu, L. and Tao, Q. (2015), "Field measurement of wind characteristics at bridge site in deep gorge with high altitude and high temperature difference", China J. Highw. Transp., 28(3), 60-65.
  36. Zhang, M., Li, Y., Wang, B. and Ren, S. (2018), "Numerical simulation of wind characteristics at bridge site considering thermal effects", Adv. Struct. Eng., 21(9), 1313-1326. https://doi.org/10.1177%2F1369433217742524. https://doi.org/10.1177/1369433217742524

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