DOI QR코드

DOI QR Code

Prediction of typhoon design wind speed and profile over complex terrain

  • Huang, W.F. (School of Civil Engineering, Hefei University of Technology) ;
  • Xu, Y.L. (The Hong Kong Polytechnic University)
  • 투고 : 2011.05.04
  • 심사 : 2012.11.30
  • 발행 : 2013.01.10

초록

The typhoon wind characteristics designing for buildings or bridges located in complex terrain and typhoon prone region normally cannot be achieved by the very often few field measurement data, or by physical simulation in wind tunnel. This study proposes a numerical simulation procedure for predicting directional typhoon design wind speeds and profiles for sites over complex terrain by integrating typhoon wind field model, Monte Carlo simulation technique, CFD simulation and artificial neural networks (ANN). The site of Stonecutters Bridge in Hong Kong is chosen as a case study to examine the feasibility of the proposed numerical simulation procedure. Directional typhoon wind fields on the upstream of complex terrain are first generated by using typhoon wind field model together with Monte Carlo simulation method. Then, ANN for predicting directional typhoon wind field at the site are trained using representative directional typhoon wind fields for upstream and these at the site obtained from CFD simulation. Finally, based on the trained ANN model, thousands of directional typhoon wind fields for the site can be generated, and the directional design wind speeds by using extreme wind speed analysis and the directional averaged mean wind profiles can be produced for the site. The case study demonstrated that the proposed procedure is feasible and applicable, and that the effects of complex terrain on design typhoon wind speeds and wind profiles are significant.

키워드

참고문헌

  1. Batts, M.E., Simiu, E. and Russell, L.R (1980), "Hurricane wind speeds in the United States", Journal of the Structural Division, 106(10), 2001-2016.
  2. Bitsuamlak, G.T., Stathopoulos T. and Bedard, C. (2004), "Numerical simulation of wind flow over complex terrain: review", Journal of Aerospace Engineering, 17(4), 135-145. https://doi.org/10.1061/(ASCE)0893-1321(2004)17:4(135)
  3. Cheng, Y., Lien, F.S., Yee, E. and Sinclair, R. (2003), "A comparison of large eddy simulations with a standard $\kappa-\varepsilon$ Reynolds-averaged Navier-Stokes model for the prediction of a fully developed turbulent flow over a matrix of cubes", Journal of Wind Engineering and Industrial Aerodynamics, 91, 1301-1328.
  4. Chock, G.Y.K. and Cochran, L. (2005), "Modeling of topographic wind speed effects in Hawaii", Journal of Wind Engineering and Industrial Aerodynamics, 93, 623-638. https://doi.org/10.1016/j.jweia.2005.06.002
  5. Georgiou, P.N. (1985), Design wind speeds in tropical cyclone-prone regions, PhD Thesis, University of Western Ontario, London, Ontario, Canada.
  6. Huang, W.F. and Xu, Y.L. (2012), "A refined model for typhoon wind field simulation in boundary layer", Advances in Structural Engineering, 15(1), 77-89. https://doi.org/10.1260/1369-4332.15.1.77
  7. Lee, M., Lee, S.H., Hur, M. and Choi, C.K. (2010), "A numerical simulation of flow field in a wind farm on complex terrain", Wind and Structures, 13(4), 375-388. https://doi.org/10.12989/was.2010.13.4.375
  8. Xu, Y.L., Huang and W.F. (2009), Typhoon wind simulation and design wind speed, Proceedings of the 6th International Advanced School on Wind Engineering, Beijing, 323-345.
  9. Ishihara, T., Matsui, M. and Hibi, K. (1995), "An analytical model for simulation of the wind field in a typhoon boundary layer", Journal of Wind Engineering and Industrial Aerodynamics, 56, 291-310. https://doi.org/10.1016/0167-6105(94)00014-5
  10. Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986), Learning internal representation by error propagation, in Rumelhart, D.E. et al. eds., Parallel Distributed Processing, MIT Press, Cambridge, MA.
  11. Russell, L.R. (1971), "Probability distributions for hurricane effects", Journal of the Waterways, Harbors and Coastal Engineering Division, 97(1), 139-154.
  12. Song L., Li Q.S., Chen W., Qin P., Huang H. and He Y.C. (2012), "Wind characteristics of a strong typhoon in marine surface boundary layer", Journal of Wind and Structures, 15(1), 1-15. https://doi.org/10.12989/was.2012.15.1.001
  13. Tamura, T., Okuno, A. and Sugio, Y. (2007), "LES analysis of turbulent boundary layer over 3D steep hill covered with vegetation", Journal of Wind Engineering and Industrial Aerodynamics, 95, 1463-1475. https://doi.org/10.1016/j.jweia.2007.02.014
  14. Vickery, P.J. and Twisdale, L.A. (1995), "Wind field and filling models for hurricane wind speed predictions", Journal of Structural Engineering, 121(11), 1700-1709. https://doi.org/10.1061/(ASCE)0733-9445(1995)121:11(1700)
  15. Vickery, P.J. (2009), "U.S. hurricane wind speed risk and uncertainty", Journal of Structural Engineering, 135(3), 301-320. https://doi.org/10.1061/(ASCE)0733-9445(2009)135:3(301)
  16. Wakes, S.J., Maegli, T., Dickinson, K.J. and Hilton, M.J. (2010), "Numerical simulation of wind flow over complex terrain", Environmental Modeling & Software, 25, 237-247. https://doi.org/10.1016/j.envsoft.2009.08.003

피인용 문헌

  1. Tropical Storm–Induced Buffeting Response of Long-Span Bridges: Enhanced Nonstationary Buffeting Force Model vol.143, pp.6, 2017, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001745
  2. Wind tunnel test and numerical simulation of wind characteristics at a bridge site in mountainous terrain vol.20, pp.8, 2017, https://doi.org/10.1177/1369433216673377
  3. Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads vol.9, pp.9, 2017, https://doi.org/10.1177/1687814017724088
  4. Fluctuating wind field analysis based on random Fourier spectrum for wind induced response of high-rise structures vol.63, pp.6, 2013, https://doi.org/10.12989/sem.2017.63.6.837
  5. Generalized Wind Loading Chain: Time-Frequency Modeling Framework for Nonstationary Wind Effects on Structures vol.145, pp.10, 2013, https://doi.org/10.1061/(asce)st.1943-541x.0002376
  6. Characteristics of the Near-Ground Typhoon Morakot vol.2021, pp.None, 2013, https://doi.org/10.1155/2021/9968586