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Prediction of typhoon design wind speed and profile over complex terrain

机译:复杂地形上台风设计风速和剖面的预测

摘要

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.
机译:通常,通过很少的现场测量数据或在风洞中进行物理模拟,通常无法实现为位于复杂地形和台风易发地区的建筑物或桥梁设计台风的特性。这项研究提出了一种数值模拟程序,通过整合台风风场模型,蒙特卡洛模拟技术,CFD模拟和人工神经网络(ANN)来预测复杂地形上的定向台风设计风速和剖面。以香港昂船洲大桥为例,研究拟议数值模拟程序的可行性。首先利用台风风场模型和蒙特卡罗模拟方法在复杂地形的上游产生定向台风风场。然后,使用代表上游的台风定向风场和通过CFD模拟获得的现场风,对用于预测现场台风定向风场的ANN进行训练。最终,基于训练后的人工神经网络模型,可以生成该站点的数千个定向台风风场,并且可以使用该站点的极端风速分析和定向平均风廓线来生成定向设计风速。案例研究表明,所提出的程序是可行且适用的,复杂地形对设计台风风速和风廓线的影响是显着的。

著录项

  • 作者

    Huang WF; Xu YL;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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