节点文献
结构损伤识别的混合神经网络方法
On hybrid neural network method for structural damage identification
【摘要】 在损伤位置和程度的诊断中分别构造各自相适当的网络和识别样本形成混合神经网络系统,并选择不同的输入参数对结构损伤的位置和程度进行了识别,针对一个损伤钢梁进行了数值仿真,从而证明了混合神经网络两步检测法的可行性。
【Abstract】 The paper establishes the respectively suitable network and the identification samples to the hybrid neural network system from the diagnosis for damage position and the levels,selects the various input parameter to identify the structural damage position and the levels,and undertakes the numerical simulation for the damaged steel beam,so as to prove the feasibility of the hybrid neural network two-step checking method.
【关键词】 混合神经网络;
频率变化比;
残余力向量;
损伤定位;
损伤程度;
【Key words】 hybrid neural network; frequency change square ratio; residual force vector; damage location; damage level;
【Key words】 hybrid neural network; frequency change square ratio; residual force vector; damage location; damage level;
- 【文献出处】 山西建筑 ,Shanxi Architecture , 编辑部邮箱 ,2011年03期
- 【分类号】TU317
- 【被引频次】1
- 【下载频次】87