BP网络在钢筋混凝土细长柱承载力计算中应用

随着建筑行业的不断发展和高强材料日益广泛的应用，细长柱的应用也越来越广泛，但是在细长柱规范中没有给出具体的承载力计算公式，这给其承载力的预测带来了一定的困难。基于对现有各种柱计算方法的分析，用BP网络对长细比大于150的环形预应力细长柱的承载力进行了预测, 取得了令人满意的效果，为细长柱承载力的预测提供了一种新的方法和思路。

BP Neural Network Application on Carrying Capacity Calculation of Reinforced Concrete Slender Column

With the constant development of the building trade and extensive application day by day of high-strength material, the application of slender column is more and more comprehensive, but there is no specific calculating formulas for carrying capacity of the code of slender column, which is the certain difficulty for its predication of carrying capacity. By analyzing all kinds of calculation methods, the carrying capacity of the slender column with ring sections whose slenderness ration is more than 150 is predicted by using BP neural network, which makes satisfactory results and provides a new method and train of thought for prediction of slender column carrying capacity.