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    Abstract:

    At present, the available wind observation data for estimation of directional extreme wind speeds is lacking, especially the data of tropical cyclones. Up to the present, there is still no method can provide directional extreme wind speed estimates in mixed climates. In this paper, the samples of extreme wind speeds in typhoon climate and normal climate are separately obtained using the Monte Carlo method. For the typhoon climate, the samples of extreme wind speeds are simulated by the typhoon wind field model established by Yan Meng. For the normal climate, the samples of extreme wind speeds are simulated by the distribution function fitted from the wind observation data. Then, a new method of estimating the directional extreme wind speeds is proposed. The results of estimated extreme wind speeds are presented and discussed using Shanghai as an example. The results demonstrate the distribution of extreme wind speeds in those two kinds of climates and the reasonable transition between these climates. The strong correlation among the extreme wind speeds in different directions is also shown in the mixed climate.

    Reference
    [1] Davenport A G. The application of statistical concepts to the wind loading of structures [J]. Proc Inst Civ Eng, 1961, 19: 449-472
    [2] Davenport A G. Note on the distribution of the largest value of a random function with application to gust loading [J]. Proceedings of the Institution of Civil Engineers, 1964, 28: 187-196
    [3] Davenport A G. The buffeting of structures by gusts. Wind Effects on Buildings and Structures [C]//Proceedings of the Conference held at the National Physical Laboratory. London, HMSO, 1965: 357-391.
    [4] Davenport A G. The relationship of reliability to wind load [J]. Journal of wind engineering and industrial aerodynamics, 1983, 13: 3-27
    [5] Davenport A G,Surry D,Stathopoulos T. Wind loads on low rise buildings: Final report of phases I and II BLWT-SS8-1977. [R]. London, Ontario, Univ.of Western Ontario. 1977.
    [6] Cook N J. Towards better estimation of extreme winds [J]. Journal of wind engineering and industrial aerodynamics, 1982, 9 (3): 295-323
    [7] Cook N J. Note on directional and seasonal assessment of extreme winds for design [J]. Journal of wind engineering and industrial aerodynamics, 1983, 12 (3): 365-372
    [8] Cook N J,Miller C A. Further note on directional assessment of extreme winds for design [J]. Journal of wind engineering and industrial aerodynamics, 1999, 79 (3): 201-208
    [9] 全涌,刘磊,顾明. 考虑风向的极值风速估计的Cook方法改进 [J]. 同济大学学报(自然科学版), 2015, 43 (2): 189-192,204Quan Yong, Liu Lei, Gu Ming. Improvement of Cook method considering directional extreme wind speed [J]. Journal of Tongji University (Natural Science), 2015, 43 (2): 189-192, 204
    [10] Haraguchi K,Kanda J. Probability model for annual maximum wind speeds in multi-direction [C]//Wind Engineering into 21st Century, ICWE. 1999: 205-212.
    [11] Kanda J,Itoi T. Correlated Gumbel probability model for directional wind speeds, [C]// ICOSSAR. 2001.
    [12] Zhang X,Chen X. Assessing probabilistic wind load effects via a multivariate extreme wind speed model: A unified framework to consider directionality and uncertainty [J]. Journal of wind engineering and industrial aerodynamics, 2015, 147: 30-42
    [13] Zhang X,Chen X. Influence of dependence of directional extreme wind speeds on wind load effects with various mean recurrence intervals [J]. Journal of Wind Engineering Industrial Aerodynamics, 2016, 148: 45-56
    [14] Gomes L,Vickery B J. Extreme wind speeds in mixed wind climates [J]. Journal of wind engineering and industrial aerodynamics, 1978, 2 (4): 331-344
    [15] Cook N J,Harris R I,Whiting R. Extreme wind speeds in mixed climates revisited [J]. Journal of wind engineering and industrial aerodynamics, 2003, 91 (3): 403-422
    [16] Cook N J. Confidence limits for extreme wind speeds in mixed climates [J]. Journal of wind engineering and industrial aerodynamics, 2004, 92 (1): 41-51
    [17] Meng Y,Matsui M,Hibi K. An analytical model for simulation of the wind field in a typhoon boundary layer [J]. Journal of wind engineering and industrial aerodynamics, 1995, 56 (2–3): 291-310
    [18] Meng Y,Matsui M,Hibi K. A numerical study of the wind field in a typhoon boundary layer [J]. Journal of wind engineering and industrial aerodynamics, 1997, 67–68 (0): 437-448
    [19] 张秉超. 建筑围护结构极值风压的全概率分析方法研究 [D]. 上海 同济大学硕士学位论文. 2014Zhang BingChao. Research on the fully probabilistic method of the extreme wind pressure on Buildings [D]. Tongji University, 2014
    [20] 肖玉凤. 基于数值模拟的东南沿海台风危险性分析及轻钢结构风灾易损性研究 [D]. 哈尔滨 哈尔滨工业大学博士学位论文. 2011Xiao Yufeng. Typhoon wind hazard analysis based on numerical simulation and fragility of light-gauge steel structure in southeast china coastal regions [D]. Harbin Institute of Technology, 2011
    [21] 中华人民共和国国家标准. GB50009-2012建筑结构荷载规范 [S]. 北京: 中国建筑工业出版社, 2012Professional Standard of the People’s Republic of China. GB50009-2012 Load code for the design of building structures [S]. Beijing: China Architecture and Building Press, 2012
    [22] Harris R I. XIMIS, a penultimate extreme value method suitable for all types of wind climate [J]. Journal of wind engineering and industrial aerodynamics, 2009, 97 (5-6): 271-286
    [23] Harris R I. Gumbel re-visited - a new look at extreme value statistics applied to wind speeds [J]. Journal of wind engineering and industrial aerodynamics, 1996, 59 (1): 1-22
    [24] The MathWorks Inc. MATLAB [CP/DK]. The MathWorks Inc., Verson 8.2.0.701 (R2013b).
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. ESTIMATING DIRECTIONAL EXTREME WIND SPEEDS IN MIXED CLIMATES COMBINED WITH TYPHOON[J].同济大学学报(自然科学版),2018,46(02):188~194

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History
  • Received:May 11,2017
  • Revised:December 13,2017
  • Adopted:October 09,2017
  • Online: March 20,2018
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