顾明, 周晅毅. 神经网络方法在大跨度屋面风压研究中的应用[J]. 工程力学, 2003, 20(4): 99-103.
引用本文: 顾明, 周晅毅. 神经网络方法在大跨度屋面风压研究中的应用[J]. 工程力学, 2003, 20(4): 99-103.
GU Ming, ZHOU Xuan-yi. APPLICATION OF NEURAL NETWORK IN THE PREDICTION OF WIND LOAD ON LONG-SPAN ROOFS[J]. Engineering Mechanics, 2003, 20(4): 99-103.
Citation: GU Ming, ZHOU Xuan-yi. APPLICATION OF NEURAL NETWORK IN THE PREDICTION OF WIND LOAD ON LONG-SPAN ROOFS[J]. Engineering Mechanics, 2003, 20(4): 99-103.

神经网络方法在大跨度屋面风压研究中的应用

APPLICATION OF NEURAL NETWORK IN THE PREDICTION OF WIND LOAD ON LONG-SPAN ROOFS

  • 摘要: 大跨度结构屋盖表面风压系数和功率谱的测量对于结构风振响应的计算有重要意义。提出了根据有限的风洞试验测试结果用神经网络方法预测未知点平均和脉动风压系数、以及脉动风压的自功率谱和互功率谱函数的方法,并将这一方法应用于一座实际大跨度屋盖结构,其预测结果与实测值吻合得较好。这为研究大跨度屋盖结构的风荷载和风振响应分析提供了一个有效方法。

     

    Abstract: The coefficients and power spectra of wind pressure play important roles in computing wind-induced dynamic responses of long-span roofs. In this paper, a neural network method is used to predict the mean and fluctuating wind pressure coefficients and the power spectra of the fluctuating wind pressures on a real long-span roof based on the limited data from the wind tunnel test. The predictions are in good agreement with the experimental data, indicating that the present method is effective.

     

/

返回文章
返回