吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (4): 963-967.

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Damage identification for simply supported beam bridge based on modal curvature theory and neural network

LIU Han-bing, JIAO Yu-bo, CHENG Yong-chun, GONG Ya-feng   

  1. College of Transportation, Jilin University, Changchun 130022, China
  • Received:2010-04-26 Online:2011-07-01 Published:2011-07-01

Abstract:

A two-step method was proposed to identify the damage of the simply supported beam bridge with multiple girders. The method identifies the structure damage using the modal curvature difference and the neural network technique to avoid the disadvantages of each single method. A numerical example was provided for a simply supported T beam bridge with five girders to verify the feasibility of the method, and the results show that this two-step method is effective to locate damage and evaluate the damage degree.

Key words: road engineering, two-step identification method, modal curvature, neural network, simply supported beam bridge

CLC Number: 

  • U441.4
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