[1]彭兴黔,刘春艳,徐刚.低矮建筑屋面风荷载体型系数的数值模拟[J].华侨大学学报(自然科学版),2011,32(5):579-583.[doi:10.11830/ISSN.1000-5013.2011.05.0579]
 PENG Xing-qian,LIU Chun-yan,XU Gang.Numerical Simulation of Wind Loads Shape Coefficient on the Roof of Low-Rise Buildings[J].Journal of Huaqiao University(Natural Science),2011,32(5):579-583.[doi:10.11830/ISSN.1000-5013.2011.05.0579]
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低矮建筑屋面风荷载体型系数的数值模拟()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第32卷
期数:
2011年第5期
页码:
579-583
栏目:
出版日期:
2011-09-20

文章信息/Info

Title:
Numerical Simulation of Wind Loads Shape Coefficient on the Roof of Low-Rise Buildings
文章编号:
1000-5013(2011)05-0579-05
作者:
彭兴黔刘春艳徐刚
华侨大学土木工程学院
Author(s):
PENG Xing-qian LIU Chun-yan XU Gang
College of Civil Engineering, Huaqiao University, Quanzhou 362021, China
关键词:
低矮建筑 体型系数 风荷载 屋面 数值模拟
Keywords:
low-rise buildings shape coefficient wind loads roof numerical simulation
分类号:
TU312.1
DOI:
10.11830/ISSN.1000-5013.2011.05.0579
文献标志码:
A
摘要:
采用剪切应力输运(SST)k-ω模型,对门式刚架屋面风场和表面风压进行数值模拟分析.在不同高宽比、长宽比及不同坡度情况下,研究低矮双坡房屋的屋面风荷载体型系数的变化规律和分布特征.结果表明,低矮建筑的屋面分压分布与屋面的长宽比、高宽比及主导风向均有很大的关系; 随着高宽比和长宽比的增大,屋面分区的风荷载体型系数的变化呈先平缓后增加的趋势,而屋面坡度变化对风荷载体型系数的影响较小.在门式刚架抗风设计时,高宽比和长宽比最优选择分别为0.38和2.5.
Abstract:
SST k-ω turbulence model was used to numerically simulate the roof wind field and superficial wind pressure of portal frame.The variation and distributed characteristic of wind load shape coefficient on the roof of low-rise buildings were studied,for different parameters of the height-width ratio,the length-width ratio and the pitches.The results indicate that the height-width ratio,the length-width ratio and the direction of dominant wind greatly effect on the distribution of the wind pressure.As the height-width ratio and length-width ratio increase,the wind load shape coefficient increases slowly at initial stage,then increases obviously thereafter.The roof gradient effects slightly on the wind load shape coefficient.The optimal values of the height-width ratio and the length-width ratio for portal frame are 2.5 and 0.38,respectively.

参考文献/References:

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备注/Memo

备注/Memo:
福建省自然科学基金资助项目(E0510022); 福建省泉州市科技计划重点项目(2007G7); 福建省厦门市发改委科技计划项目(2008-70)
更新日期/Last Update: 2014-03-23