Title

Bridge Damage Identification Using Vehicle-Bridge Interaction Analysis And Ga Optimization

Abstract

In this study, a damage detection approach using train-induced vibration response of the bridge is proposed, utilizing only direct structural analysis by means of introducing soft computing methods. The possible damage patterns of the bridge are assumed according to theoretical and empirical considerations at first.Then, the running train-induced dynamic response of the bridge under a certain damage pattern is calculated employing a developed train-bridge interaction analysis program. When the calculated result is most identical to the recorded response, this damage pattern will be the solution. However, owing to the huge number of possible damage patterns, it is extremely time-consuming to calculate the bridge responses of all the cases and thus difficult to identify the exact solution quickly. Therefore, theGAoptimization is introduced to quickly solve the problem.The basic concept of the proposed approach is presented in this paper, and its feasibility is numerically investigated using two different train models and a simple girder bridge model. © 2013 Taylor & Francis Group, London.

Publication Date

12-1-2013

Publication Title

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

Number of Pages

4617-4624

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84892402628 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84892402628

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