Wind and Structures

Techno-Press (테크노프레스)
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Investigations on coefficient of variation of extreme wind speed

  • Xu, Fuyou (School of Civil Engineering, Dalian University of Technology) ;
  • Cai, Chunsheng (Department of Civil and Environmental Engineering, Louisiana State University) ;
  • Zhang, Zhe (School of Civil Engineering, Dalian University of Technology)
  • Received : 2013.05.05
  • Accepted : 2014.02.01
  • Published : 2014.06.25
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Abstract

The uncertainty of extreme wind speeds is one key contributor to the uncertainty of wind loads and their effects on structures. The probability distribution of annual extreme wind speeds may be characterized using a classical Gumbel Type distribution. The expression that establishes the relationship between the extreme wind speeds at different recurrence periods and the corresponding coefficients of variation is formulated, and its efficacy is validated. The coefficients of variation are calibrated to be about 0.125 and 0.184 according to defined Chinese and US design specifications, respectively. Based on the wind data of 54 cities in China, 49 meteorological stations in the US, 3 stations in Singapore, the coefficients span intervals of (0.1, 0.35), (0.08, 0.20) and (0.06, 0.14), respectively. For hurricanes in the US, the coefficients range approximately from 0.3 to 0.4. This convenient technique is recommended as one alternative tool for coefficient of variation analyses in the future revisions of related codes. The sensitivities of coefficients of variation for 49 meteorological stations in the US are quantified and demonstrated. Some contradictions and incompatibilities can be clearly detected and illustrated by comparing the coefficients of variation obtained with different combinations of recurrence period wind data.

Keywords

References

  1. An, Y. and Pandey, M.D. (2007), "The rlargest order statistics model for extreme wind speed estimation", J. Wind Eng. Ind. Aerod., 95(3), 165-182. https://doi.org/10.1016/j.jweia.2006.05.008
  2. ASCE. (2006), Minimum design loads for buildings and other structures, SEI/ASCE7-05, Reston, Va.
  3. Carlos, E.S. (2001), "Bivariate estimation of extreme wind speeds", Struct. Saf., 30(6), 481-492.
  4. Chen, X.Z. and Huang, G.Q. (2010), "Estimation of probabilistic extreme wind load effects: combination of aerodynamic and wind climate data", J. Eng. Mech., 136(6), 747-760. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000118
  5. Cheng, E., and Yeung, C. (2002), "Generalized extreme gust wind speeds distributions", J. Wind Eng. Ind. Aerod., 90(12-15), 1657-1669. https://doi.org/10.1016/S0167-6105(02)00277-5
  6. Choi, E.C.C. (1999), "Extreme wind characteristics over Singapore: an area in the equatorial belt", J. Wind Eng. Ind. Aerod., 83(1-3), 61-69. https://doi.org/10.1016/S0167-6105(99)00061-6
  7. Choi, E.C.C. and Tanurdjaja, A. (2002), "Extreme wind studies in Singapore: an area with mixed weather system", J. Wind Eng. Ind. Aerod., 90(12-15), 1611-1630. https://doi.org/10.1016/S0167-6105(02)00274-X
  8. Cook, N.J. (1998), "Improving the gumbel analysis by using M-th highest extremes", Wind Struct., 1(1), 25-42. https://doi.org/10.12989/was.1998.1.1.025
  9. Cook, N.J. , Harris, R. and Whiting, R. (2003), "Extreme wind speeds in mixed climates revisited", J. Wind Eng. Ind. Aerod., 91(3), 403-422. https://doi.org/10.1016/S0167-6105(02)00397-5
  10. Diniz, S.M.C. and Simiu, E. (2005), "Probabilistic description of wind effects and wind load factors for database- assistant design", J. Struct. Eng. - ASCE, 131(3), 507-516. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:3(507)
  11. Ge, Y.J., Xiang, H.F. and Tanaka, H. (2000), "Application of a reliability analysis model to bridge flutter under extreme winds", J. Wind Eng. Ind. Aerod., 86(2-3), 155-167. https://doi.org/10.1016/S0167-6105(00)00008-8
  12. Holmes, J.D. and Moriarty, W.W. (1999), "Application of the generalized Pareto distribution to extreme value analysis in wind engineering", J. Wind Eng. Ind. Aerod., 83(1-4), 1-10. https://doi.org/10.1016/S0167-6105(99)00056-2
  13. Homles J.D. (2009), "Development of codification of wind loads in the Asia Pacific", Proceedings of The 7th Asia-Pacific Conference on Wind Engineering, Taipei, November, 161-169.
  14. Lee B.H., Ahn D.J., Kim H.G. and Ha, Y.C. (2012), "An estimation of the extreme wind speed using the Korea wind map", Renew. Energ., 42, 4-10. https://doi.org/10.1016/j.renene.2011.09.033
  15. Loredo-Souza, A.M. (2012), "Meteorological events causing extreme winds in Brazil", Wind Struct., 15(2), 177-188. https://doi.org/10.12989/was.2012.15.2.177
  16. Ministry of Communications of the People's Republic of China (2004), Wind-resistant design specification for highway bridges, JTG/T D60-01-2004.
  17. Peterka, J.A. and Shahid, S. (1998). "Design gust wind speeds in the United States", J. Struct. Eng. - ASCE, 124(2), 207-214. https://doi.org/10.1061/(ASCE)0733-9445(1998)124:2(207)
  18. Simiu, E. and Heckert, N.A. (1996), "Extreme wind distribution tails: a 'peaks over threshold' approach", J. Struct. Eng. - ASCE, 122(5), 539-547. https://doi.org/10.1061/(ASCE)0733-9445(1996)122:5(539)
  19. Simiu, E., Heckertb, N.A., Fillibenb, J.J. and Johnson S.K. (2001), "Extreme wind load estimates based on the Gumbel distribution of dynamic pressures: an assessment", Struct. Saf., 23(3), 221-229. https://doi.org/10.1016/S0167-4730(01)00016-9
  20. Song, L.L., Li, Q.S., Chen, W.C., Qin, P., Huang, H.H. and He, Y.C. (2012), "Wind characteristics of a strong typhoon in marine surface boundary layer", Wind Struct., 15(1), 1-15. https://doi.org/10.12989/was.2012.15.1.001

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