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群体高层建筑风效应的数值模拟
引用本文:高炜文,傅继阳,徐安,黄友钦.群体高层建筑风效应的数值模拟[J].广州大学学报(综合版),2013(6):42-48.
作者姓名:高炜文  傅继阳  徐安  黄友钦
作者单位:广州大学结构安全与健康监测广州市重点实验室和广东省高校工程中心,广东广州510006
基金项目:广东省自然科学基金重点资助项目($2011030002800)
摘    要:基于计算流体力学软件平台FLUENT6.3,分别采用标准k-ε模型和RNGk-ε湍流模型,模拟了典型风向角下广州珠江新城利通广场作为单体建筑和处于高层建筑群中的表面风压分布和周围风环境,并与风洞试验结果进行了对比分析.研究表明:数值模拟得到的风压系数结果与风洞试验具有一致的趋势,但标准k-ε模型的结果与风洞试验相差较大,而RNGk-ε模型的结果与风洞试验较为吻合.利通前方的大尺寸低矮建筑可能减小利通各面上的风压.另一方面,利通前方的高层建筑群产生的遮挡效应使其迎风面上的风压系数减小,而利通侧风面和背风面的其他高楼引起的狭缝效应使利通上的风压增加.此外,通过流场数值模拟可对高层建筑群的风环境进行评价.

关 键 词:群体高层建筑  数值模拟  风压系数  风洞试验  湍流模型

Numerical simulation of wind effects on groups of high-rise buildings
GAO Wei-wen,FU Ji-yang,XU An,HUANG You-qin.Numerical simulation of wind effects on groups of high-rise buildings[J].Journal of Guangzhou University,2013(6):42-48.
Authors:GAO Wei-wen  FU Ji-yang  XU An  HUANG You-qin
Institution:( Key Laboratory in Guangzhou and Engineering Research Center in Colleges of Guangdong Province for Struetural Safety and Health Monitoring, Guangzhou University, Guangzhou 510006, China)
Abstract:Based on stand k-ε model and RNG k-ε model,distribution of the mean pressure of Leatop Plaza in Zhujiang New Town of Guangzhou as an individual building and in high-rise building complex were simulated in typical wind angle with software Fluent6.3. The calculated results were compared with those of experiments. The study results show that the calculated distribution of mean pressure of the high-rise building is consistent with the experiments. The results of RNG k-ε model are better than stand k-ε model. The wind pressure coeffi- cient of each surface may be reduced by the frontal low-rise building whose size is larger. On the other hand, the wind pressure on the windward side of Leatop was reduced by shielding effect caused by the high-rise build- ing complex in front of it, and the wind pressure on the crosswind surface and leeward side were increased by slitting effect caused by other high-rise buildings beside it. Moreover, the wind environment of the high-rise buildings can be evaluated by numerical simulations.
Keywords:high-rise buildings  numerical simulation  wind pressure coefficient  wind tunnel tests  turbulencemodel
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