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简支梁多位置损伤识别研究
引用本文:魏锦辉,潘春风,张青阔.简支梁多位置损伤识别研究[J].华北水利水电学院学报,2009,30(4):37-39.
作者姓名:魏锦辉  潘春风  张青阔
作者单位:1. 郑州航空工业管理学院,河南,郑州,450002
2. 西峡工程质量监督站,河南,西峡,474500
基金项目:郑州航空工业管理学院青年基金 
摘    要:曲率模态是结构损伤识别的敏感标示量,采用数值仿真方法,把曲率模态用于桥梁损伤识别.利用简支梁损伤前后一阶曲率变化率作为识别参数,便可明显确定其多处损伤位置.对相关样本参数进行归一化处理并引入噪声干扰,利用BP人工神经网络进行数值仿真计算,也能对其损伤程度进行有效模拟,验证了BP神经网络也有很强的泛化能力及容错能力.

关 键 词:损伤识别  曲率模态  BP人工神经网络  简支梁

Study on Multiple Damage Identification for Simply Supported Beam Bridges
WEI Jin-hui,PAN Chun-feng,ZHANG Qing-kuo.Study on Multiple Damage Identification for Simply Supported Beam Bridges[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2009,30(4):37-39.
Authors:WEI Jin-hui  PAN Chun-feng  ZHANG Qing-kuo
Affiliation:1.Zhengzhou Institute of Aeronautical Industry Management;Zhengzhou 450052;China;2.Xixia Construction Project Quality Supervisory Station;Xixia 474500;China
Abstract:Based on numerical simulation,the curvature modal method used in damage identification of bridges was discussed.The curvature mode is very sensitive.When the change of the first-order curvature mode is used in the damage identification for simply supported beam bridges,it can locate the multiple damage accurately.With the BP Neural network trained by some sample data which is normalized and added noise,it can also realize the degree of damage identification,and prove the generalization capability tolerant c...
Keywords:damage identification  curvature mode  BP artificial networks  simply supported beam  
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