Structural Engineering and Mechanics

  • 제62권6호
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  • Pages.709-717
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  • 2017
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Structural damage detection based on residual force vector and imperialist competitive algorithm

  • Ding, Z.H. (School of Engineering, Sun Yat-sen University) ;
  • Yao, R.Z. (School of Engineering, Sun Yat-sen University) ;
  • Huang, J.L. (School of Engineering, Sun Yat-sen University) ;
  • Huang, M. (School of Engineering, Sun Yat-sen University) ;
  • Lu, Z.R. (School of Engineering, Sun Yat-sen University)
  • 투고 : 2016.03.30
  • 심사 : 2017.06.02
  • 발행 : 2017.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Guangdong Province Natural Science Foundation, China Scholarship Council (CSC)

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