Multi-scale simulation of typhoon wind field at building scale utilizing mesoscale model with nested large eddy simulation

被引:10
作者
Huang, Mingfeng [1 ,2 ]
Liao, Sunce [1 ,2 ]
Lou, Wenjuan [1 ,2 ]
Lin, Wei [2 ,3 ]
Kareem, Ahsan [4 ]
机构
[1] Zhejiang Univ, Coll Civil & Architecture Engn, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ, Ctr Balance Architecture, Hangzhou 310058, Peoples R China
[3] Zhejiang Univ Co Ltd, Architectural Design & Res Inst, Hangzhou 310058, Peoples R China
[4] Univ Notre Dame, Nathaz Modeling Lab, Notre Dame, IN USA
关键词
Typhoon; Numerical simulation; WRF; LES; Multi-scale; Urban wind fields; ENVIRONMENT; WRF; DISTRIBUTIONS; PERFORMANCE; PREDICTION; BRIDGE; FLOW; CFD;
D O I
10.1016/j.jweia.2024.105733
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Based on the mesoscale WRF (Weather Research Forecast) and LES (Large Eddy Simulation), an integrated numerical simulation framework aiming to resolve typhoon wind fields around urban building blocks has been developed. The holistic multi-scale simulation spans four scales: macroscale (-1000 km), mesoscale (-100 km), microscale (-1 km), and building scale (0.1 - 100m). By interactively sharing the meteorological data among different scales, this simulation framework addressed the challenge of downscaling typhoon effects in urban environments. Typhoon weather reanalysis and urban wind field simulation were conducted by the WRF model with nested computational domains incorporating high-resolution topography data. For the downscaled LES model with urban buildings, the wind profiles produced by the WRF model were used at the interface with provided turbulent fluctuations in the flow. K11 building is a 270-m-tall building located in a densely built-up area of Hong Kong. Wind velocity and pressure fields surrounding the K11 building in Hong Kong during Typhoon Kammuri were obtained by the proposed framework, and the simulation results were validated by comparing with the meteorological data and full-scale measurements at the top of the K11 building. The interactions of the wind fields and building clusters resulting in vortex shedding, separation, and channeling effects have been resolved at high resolutions. Probabilistic distributions and higher-order statistics of wind pressure, i. e., skewness and kurtosis, were presented to highlight non-Gaussian characteristics of the simulated local wind pressure on the K11 building. Based on the simulated wind pressure, wind-induced vibration of the K11 building during the typhoon was analyzed and compared to the measurements.
引用
收藏
页数:20
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