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《Journal of Northeast Forestry University》 2009-10
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Damage Identification of Bridge Based on Variation Ratio of Curvature Mode and Neural Network

Liu Chuncheng,Xu Jian,Huang Jinhua,Yang Jie(School of Civil & Architecture Engineering,Northeast Dianli University,Jilin 132012,P. R. China)  
A new identification method of damaged bridge structure is given to identify the location and extent of damages based on variation ratio of curvature mode and BP neural network. The damage identification method is tested by a simply supported beam and a continuous beam bridge. Results showed that a satisfactory precision could be obtained by this method even if the errors existed in the structural parametric FEM analysis of bridges. This method could also be applied to the damage identification of complex bridge structures.
【Fund】: 交通部西部科技项目(200631882350);; 吉林省教育厅“十一五”科技发展计划项目(200627)
【CateGory Index】: U441.4
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