Comparative study of wind and turbulence characteristics during Super Typhoon Saola based on stationary and nonstationary models

被引:0
|
作者
Xue, Yu-Cheng [1 ,2 ]
He, Jun-Yi [1 ,2 ]
Chan, Pak-Wai [3 ]
Li, Qiu-Sheng [1 ,2 ]
机构
[1] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China
[2] City Univ Hong Kong, Architecture & Civil Engn Res Ctr, Shenzhen Res Inst, Shenzhen, Peoples R China
[3] Hong Kong Observ, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
PROFILES; BRIDGE; TOWER; LAYER;
D O I
10.1063/5.0220148
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
An in-depth understanding of typhoon wind and turbulence characteristics in the atmospheric boundary layer is of crucial importance to structural design of high-rise structures. This study utilizes observational wind records collected from the 356-m-high Shenzhen Meteorological Gradient Tower, which is currently the tallest in Asia and the world's second tallest meteorological tower during Super Typhoon Saola to investigate typhoon wind and turbulence characteristics based on the stationary and nonstationary models. The mean wind speed and direction, power law exponent, friction velocity, and wind speed profiles are analyzed using the stationary model. Moreover, a comparative analysis employing the stationary and nonstationary models is carried out to study turbulence characteristics involving turbulence intensity, gust factor, turbulence integral length scale, power spectral density (PSD), and turbulence parameter profiles, along with a comparison to those stipulated in several building or structural design codes and standards. The results indicate that the typhoon wind speed signals exhibit strong nonstationarity, especially for longitudinal wind direction. The turbulence parameters calculated within the nonstationary framework are lower than those from the stationary model. In addition, the PSDs of the three orthogonal wind components obtained from the stationary and nonstationary model display similarities at the frequency above 0.01 Hz, and von K & aacute;rm & aacute;n spectra perform better in fitting the observed PSDs compared to the Kaimal spectra. The findings of this research reveal notable disparities in typhoon wind and turbulence characteristics yielded from the stationary and nonstationary models, highlighting the necessity of accounting for nonstationarity under typhoon wind conditions.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] A comparative study of heat transfer characteristics of wall-bounded jets using different turbulence models
    Rathore, Sushi Kumar
    Das, Manab Kumar
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2015, 89 : 337 - 356
  • [42] Comparative study on wind speed distribution models of Hohhot suburb based on measured data
    Wang, Wenxin
    Chen, Kexin
    Bai, Yang
    Wang, Jianwen
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (09): : 370 - 376
  • [43] Comparative Study on Simplified Models of Real Mountains Based on Similar Wind Field Effects
    Bao X.
    Lou W.
    Xu H.
    Zhang Y.
    Bian R.
    Chen K.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2022, 49 (09): : 108 - 116
  • [44] COMPARATIVE STUDY OF TWO COUNTERFLOW PACKED COLUMN MODELS BY THE TURBULENCE METHOD BASED ON THE CONCENTRATION OF AN EXCHANGEABLE SUBSTANCE.
    Safonov, M.S.
    Larikov, A.A.
    Evdokimov, S.V.
    Bel'nov, V.K.
    Afonina, N.I.
    Theoretical Foundations of Chemical Engineering, 1982, 16 (05) : 397 - 404
  • [45] Numerical Study of the Flow Characteristics of Downburst-like Wind over the 3D Hill Using Different Turbulence Models
    Yan, Bowen
    Shen, Ruifang
    Ma, Chenyan
    Cheng, Xu
    Huang, Guoqing
    Yan, Zhitao
    Li, Xiao
    Zhang, Zhigang
    APPLIED SCIENCES-BASEL, 2023, 13 (12):
  • [46] A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China
    Yang, Zihao
    Dong, Sheng
    RENEWABLE ENERGY, 2024, 226
  • [47] Comparative study of reformed neural network based short-term wind power forecasting models
    Xing, Zuoxia
    Qu, Boyang
    Liu, Yang
    Chen, Zhe
    IET RENEWABLE POWER GENERATION, 2022, 16 (05) : 885 - 899
  • [48] Analysis on Time Domain Characteristics of Wind Loads during Construction Period of Super Large Cooling Towers Based on Large Eddy Simulation
    Ke S.
    Xu L.
    Zhu P.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2018, 45 (11): : 62 - 72
  • [49] Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China
    Li, Chengyu
    Wang, Qunwei
    Zhou, Peng
    COMPLEXITY, 2020, 2020
  • [50] Induction generator-based wind and marines turbines failure diagnosis. Non-stationary signal processing techniques comparative study
    Diagnostic des défaillances de génératrices asynchrones d'éoliennes offshores et d'hydroliennes: Étude comparatives des techniques de traitement de signaux stationnaires
    1600, Lavoisier (17): : 1 - 2