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Structural Engineering and Mechanics Volume 62, Number 6, June25 2017 , pages 709-717 DOI: https://doi.org/10.12989/sem.2017.62.6.709 |
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Structural damage detection based on residual force vector and imperialist competitive algorithm |
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Z.H. Ding, R.Z. Yao, J.L. Huang, M. Huang and Z.R. Lu
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| Abstract | ||
| This paper develops a two-stage method for structural damage identification by using modal data. First, the Residual Force Vector (RFV) is introduced to detect any potentially damaged elements of structures. Second, data of the frequency domain are used to build up the objective function, and then the Imperialist Competitive Algorithm (ICA) is utilized to estimate damaged extents. ICA is a heuristic algorithm with simple structure, which is easy to be implemented and it is effective to deal with high-dimension nonlinear optimization problem. The advantages of this present method are: (1) Calculation complexity can be decreased greatly after eliminating many intact elements in the first step. (2) Robustness, ICA ensures the robustness of the proposed method. Various damaged cases and different structures are investigated in numerical simulations. From these results, anyone can point out that the present algorithm is effective and robust for structural damage identification and is also better than many other heuristic algorithms. | ||
| Key Words | ||
| structural damage identification; residual force vector; optimization problem; ICA; heuristic algorithm | ||
| Address | ||
| Z.H. Ding, R.Z. Yao, J.L. Huang, M. Huang and Z.R. Lu: School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong Province, 510006, P.R. China Z.H. Ding: Center for Infrastructural Monitoring and Protection, Curtin University, Bentley, WA6102, Australia | ||