RBF神经网络在检测PRC简支梁预应力中的应用  

The RBF neural network application in detecting PRC simple supported beam prestress

作　　者：崔振华 金锋[2] 刘冬锋 

机构地区：[1]长春高新建筑设计院 [2]吉林省城乡规划设计研究院设计五所

出　　处：《山西建筑》2009年第25期87-89,共3页Shanxi Architecture

摘　　要：采用神经网络技术,基于自振特性对PRC简支梁的预应力识别进行了数值仿真研究,对三种不同预应力水平的仿真测试,给出了较高的识别精度,表明基于RBF神经网络的PRC简支梁的预应力识别方法具有一定的可行性和进一步研究的价值。The PRC simple supported beam prestress detection based on self vibration characters was numerical simulated studied with neural network technology.Through simulated testing of three different prestress level,the higher detection precision was given,which indicated that PRC simple supported prestress detection method based on RBF neural network had some feasibility and further research value.

关 键 词：简支梁 预应力识别 RBF神经网络 自振频率 

分 类 号：TU378.2[建筑科学—结构工程]