Improved correlation-based modal strain energy method for global damage detection of truss bridge structures

Wang, Liang, Chan, Tommy H.T., Thambiratnam, David P., & Tan, Andy C. C. (2010) Improved correlation-based modal strain energy method for global damage detection of truss bridge structures. In Zhang, J. R. & Cai, C. S. (Eds.) Proceedings of the International Symposium on Life-Cycle Performance of Bridge and Structures, Science Press, Changsha, China, pp. 145-154.

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The previous investigations have shown that the modal strain energy correlation method, MSEC, could successfully identify the damage of truss bridge structures. However, it has to incorporate the sensitivity matrix to estimate damage and is not reliable in certain damage detection cases. This paper presents an improved MSEC method where the prediction of modal strain energy change vector is differently obtained by running the eigensolutions on-line in optimisation iterations. The particular trail damage treatment group maximising the fitness function close to unity is identified as the detected damage location. This improvement is then compared with the original MSEC method along with other typical correlation-based methods on the finite element model of a simple truss bridge. The contributions to damage detection accuracy of each considered mode is also weighed and discussed. The iterative searching process is operated by using genetic algorithm. The results demonstrate that the improved MSEC method suffices the demand in detecting the damage of truss bridge structures, even when noised measurement is considered.

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ID Code: 33238
Item Type: Conference Paper
Refereed: Yes
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Structural Engineering (090506)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2010 Science Press
Deposited On: 16 Aug 2010 23:46
Last Modified: 29 Feb 2012 14:21

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