以鞍形屋盖为研究对象，针对其破坏主要始于屋盖边缘等部位的现象和关于鞍形屋盖风压分区无据可循的现状，围绕鞍形屋盖风压系数分区问题，采用模糊C均值聚类根据风易损程度将鞍形屋盖表面划分为多个区域。分区过程中，针对模糊C均值聚类对初始变量具有依赖性的问题进行了改进，包括采取预先限制聚类数目最大值与采用有效性指标确定最优聚类数目的方式。基于此，给出了鞍形屋盖表面的最不利平均、极值风压系数分区图，并计算了各区域的分区风压系数。
Abstract
It is known that destruction mainly begins with the edge of the saddle roof and now there is no basis for saddle roof wind pressure partition. A saddle roof has been chosen as the research object and been divided into multiple regions by the Fuzzy c-means clustering method according to the wind vulnerability degree. In the process of partitioning, the Fuzzy C-means clustering is improved in the area of initial variable including dependency. Improvement measures include limit maximum of clustering number in advance and use the validity index to determine the optimal clustering number. Based on these measures, the most unfavorable mean and peak wind pressure coefficient distribution of saddle roof has been given and the wind pressure coefficient of each region has been calculated.
关键词
鞍形屋盖 /
风压系数分区 /
模糊C均值聚类 /
极值风压 /
风洞试验
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Key words
saddle roof /
zoning of wind pressure /
Fuzzy C-Means /
Extreme wind pressure /
wind tunnel test
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参考文献
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