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Combined wind profile characteristics based on wind parameters joint probability model in a mountainous gorge

Author

Listed:
  • Mingjin Zhang

    (Southwest Jiaotong University
    Southwest Jiaotong University)

  • Jinxiang Zhang

    (Southwest Jiaotong University)

  • Fanying Jiang

    (Southwest Jiaotong University)

  • Lianhuo Wu

    (Southwest Jiaotong University)

  • Jingxi Qin

    (University of California)

  • Yongle Li

    (Southwest Jiaotong University
    Southwest Jiaotong University)

Abstract

Long-span bridges in mountainous areas are greatly disturbed by wind, and the wind field at the mountain gorge bridge site is extremely complex. Therefore, it is of great engineering significance to accurately evaluate the wind field characteristics of this kind of terrain. In this paper, to enhance understanding of this kind of wind field, the wind field in a mountainous gorge is measured for a long time using wind radar, and the mean wind parameters are statistically analyzed. The results show that the mean wind parameters vary greatly under different wind directions, and the wind speed profile does not meet the power-law model. Therefore, a mixed model suitable for the wind speed profile in a mountainous gorge is proposed. Additionally, GEV distribution and Logistic distribution are found to be suitable for describing the distribution characteristics of wind speed and angle of attack, respectively. In addition, considering the correlation between wind parameters, this paper also constructs the joint probability model of wind speed and angle of attack at different heights by the Copula function. Thus, a combined wind parameters profile model is developed under different exceedance probabilities based on the inverse first-order reliability method (IFORM). This study can provide a reference for the construction of the joint probability model of wind parameters.

Suggested Citation

  • Mingjin Zhang & Jinxiang Zhang & Fanying Jiang & Lianhuo Wu & Jingxi Qin & Yongle Li, 2023. "Combined wind profile characteristics based on wind parameters joint probability model in a mountainous gorge," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 709-733, January.
    • Handle: RePEc:spr:nathaz:v:115:y:2023:i:1:d:10.1007_s11069-022-05571-w
    DOI: 10.1007/s11069-022-05571-w
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    References listed on IDEAS

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    1. Carta, J.A. & Ramírez, P., 2007. "Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions," Renewable Energy, Elsevier, vol. 32(3), pages 518-531.
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    1. Yang, Xinrong & Jiang, Xin & Liang, Shijing & Qin, Yingzuo & Ye, Fan & Ye, Bin & Xu, Jiayu & He, Xinyue & Wu, Jie & Dong, Tianyun & Cai, Xitian & Xu, Rongrong & Zeng, Zhenzhong, 2024. "Spatiotemporal variation of power law exponent on the use of wind energy," Applied Energy, Elsevier, vol. 356(C).

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