Correlation-based damage detection for complicated truss bridges using multi-layer genetic algorithms
Wang, Liang, Chan, Tommy H.T., Thambiratnam, David, Tan, Andy, & Cowled, Craig (2012) Correlation-based damage detection for complicated truss bridges using multi-layer genetic algorithms. Advances in Structural Engineering, 15(5), pp. 693-706.
The study presents a multi-layer genetic algorithm (GA) approach using correlation-based methods to facilitate damage determination for through-truss bridge structures. To begin, the structure’s damage-suspicious elements are divided into several groups. In the first GA layer, the damage is initially optimised for all groups using correlation objective function. In the second layer, the groups are combined to larger groups and the optimisation starts over at the normalised point of the first layer result. Then the identification process repeats until reaching the final layer where one group includes all structural elements and only minor optimisations are required to fine tune the final result. Several damage scenarios on a complicated through-truss bridge example are nominated to address the proposed approach’s effectiveness. Structural modal strain energy has been employed as the variable vector in the correlation function for damage determination. Simulations and comparison with the traditional single-layer optimisation shows that the proposed approach is efficient and feasible for complicated truss bridge structures when the measurement noise is taken into account.
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|Item Type:||Journal Article|
|Keywords:||Modal Correlation, Genetic Algorithm, Damage Detection, Optimisation, Modal Strain Energy, Mode Shape, Structural Health Monitoring, Truss Bridge|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Multi-Science Publishing|
|Deposited On:||09 Aug 2012 01:13|
|Last Modified:||19 Aug 2012 22:49|
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