摘要
为了比较准确的预测应用FRP布加固混凝土柱的承载力,文中应用遗传神经网络来对加固后的混凝土柱承载力进行研究,该方法充分的利用了神经网络与遗传算法的优点。预测结果表明:应用该方法对FRP布加固混凝土柱的承载力进行研究是可行的。
In order to more accurately predict the bearing capacity of reinforced concrete column strengthened with FRP fabric, the paper applies genetic neural network to research the bearing capacity of reinforced concrete column, and this method make full use of the advantages of neural network and genetic algorithm. The forecast results indicate that using this method to research the bearing capacity of reinforced concrete column stren^the.nt^d with FRP f.h.q,, ;~ ~,~~oihl.
出处
《应用能源技术》
2012年第6期1-4,共4页
Applied Energy Technology
关键词
FRP布
混凝土柱
遗传算法
神经网络
FRP fabric
Concrete column
Genetic algorithm
Meural network