Multi-scale simulation of time-varying wind fields for Hangzhou Jiubao Bridge during Typhoon Chan-hom

被引:30
作者
Huang, Mingfeng [1 ]
Wang, Yifan [1 ]
Lou, Wenjuan [1 ]
Cao, Shuyang [2 ]
机构
[1] Zhejiang Univ, Inst Struct Engn, Hangzhou, Zhejiang, Peoples R China
[2] Tongji Univ, Civil Engn Disaster Prevent Natl Key Lab, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-scale simulation; Typhoon wind field; WRF-LES mode; Turbulence generation; LARGE-EDDY SIMULATION; NUMERICAL WEATHER PREDICTION; SEA INTERACTION THEORY; BOUNDARY-LAYER; TROPICAL CYCLONES; WRF MODEL; KINEMATIC SIMULATION; FORECASTING-MODEL; MESOSCALE; IMPLEMENTATION;
D O I
10.1016/j.jweia.2018.06.020
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper proposes a downscaled simulation framework aimed to resolve micro-scale wind velocity fields around a targeted site influenced by a typhoon. The framework is consisting of three procedures: (1) typhoon evolution reanalysis by the Advanced Hurricane Weather Research and Forecasting (AHW) model, (2) the large-eddy simulation (LES) coupled in the Weather Research and Forecasting (WRF) model (WRF-LES), and (3) stochastic generation of local turbulent flows. The framework incorporates high-resolution Geographic Information System (GIS) data to capture the effects of urbanization and complex local topography. The framework is applied to carry out multi-scale simulation of time-varying wind fields for Hangzhou Jiubao Bridge during Typhoon Chan-hom in 2015. The AHW model is able to resolve the three-dimensional wind velocity fields of Chan-hom, which provide the initial and lateral boundary conditions for further downscaled simulation over Hangzhou area. The kinematic simulation (KS) method due to its computational efficiency is employed to generate zero-mean turbulent wind velocities, which are then combined with the outputs of WRF-LES mode to reproduce full turbulent wind velocity fields for Jiubao Bridge. The simulation results of real application demonstrate the effectiveness and applicability of the framework, which provides a cross-scale simulation capability of reproducing typhoon wind fields.
引用
收藏
页码:419 / 437
页数:19
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