大跨屋盖结构风压分布特性的模糊神经网络预测

针对影响大跨屋盖结构风荷载分布特征的诸多复杂因素,并结合深圳会议展览中心风洞试验项目的研究,本文应用模糊神经网络方法,成功地预测了大跨屋盖结构的风压分布特性。研究结果表明,采用该方法可以综合考虑各种因素的影响,并十分有效、简捷地处理常规方法难以解决的问题,进一步的应用表明这种方法可以用于其它类型建筑物风洞试验的数据处理和风压分布预测。

Prediction of Wind Load on Large Span Roof Using Fuzzy Neural Networks

In view of the complex factors that influence the distributions of wind load on large span roof and the wind tunnel test of the Shenzhen Convention and Exhibition Center, a new fuzzy neural network model (FNNM) has been applied to predict the wind load distribution on large span roofs. The result given by this paper shows that the FNNM is easy to synthesize different factors that are difficult to deal with by the normal numeric algorithm. The results show that the well trained FNNM has a good behavior to predict the distribution of wind load on large span roof. It also shows that the proposed method can be used to predict the wind load on other structures.