Prediction of typhoon design wind speed and profile over complex terrain

다국어 초록 (Multilingual Abstract)

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.

참고문헌 (Reference)

1 Vickery, P.J., "Wind field and filling models for hurricane wind speed predictions" 121 (121): 1700-1709, 1995

2 Lili Song, "Wind characteristics of a strong typhoon in marine surface boundary layer" 한국풍공학회 15 (15): 1-15, 2012

3 Vickery, P. J., "U.S. hurricane wind speed risk and uncertainty" 135 (135): 301-320, 2009

4 Xu, Y.L, "Typhoon wind simulation and design wind speed" 323-345, 2009

5 Russell, L. R., "Probability distributions for hurricane effects" 97 (97): 139-154, 1971

6 Bitsuamlak, G. T., "Numerical simulation of wind flow over complex terrain: review" 17 (17): 135-145, 2004

7 Wakes, S. J., "Numerical simulation of wind flow over complex terrain" 25 : 237-247, 2010

8 Chock, G.Y.K, "Modeling of topographic wind speed effects in Hawaii" 93 : 623-638, 2005

9 Rumelhart, D. E., "Learning internal representation by error propagation, In Parallel Distributed Processing" MIT Press 1986

10 Tamura, T., "LES analysis of turbulent boundary layer over 3D steep hill covered with vegetation" 95 : 1463-1475, 2007

11 Batts, M. E., "Hurricane wind speeds in the United States" 106 (106): 2001-2016, 1980

12 Georgiou, P. N., "Design wind speeds in tropical cyclone-prone regions" University of Western Ontario 1985

13 Ishihara, T., "An analytical model for simulation of the wind field in a typhoon boundary layer" 56 : 291-310, 1995

14 Huang, W.F, "A refined model for typhoon wind field simulation in boundary layer" 15 (15): 77-89, 2012

15 Myungsung Lee, "A numerical simulation of flow field in a wind farm on complex terrain" 한국풍공학회 13 (13): 375-383, 2010

16 Cheng, Y., "A comparison of large eddy simulations with a standard k-ɛ. Reynolds-averaged Navier-Stokes model for the prediction of a fully developed turbulent flow over a matrix of cubes" 91 : 1301-1328, 2003