한국전산구조공학회논문집 (Journal of the Computational Structural Engineering Institute of Korea)

  • 제27권4호
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  • Pages.231-238
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  • 2014
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  • 1229-3059(pISSN)
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  • 2287-2302(eISSN)
한국전산구조공학회 (Computational Structural Engineering Institute of Korea)
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변형 유전 알고리즘을 이용한 건물 철골 보 구조물의 시스템 식별에 관한 해석적 연구

An Analytical Study on System Identification of Steel Beam Structure for Buildings based on Modified Genetic Algorithm

  • 오병관 (연세대학교 건축공학과) ;
  • 최세운 (대구카톨릭대학교 건축학부) ;
  • 김유석 (연세대학교 건축구조헬스케어연구단) ;
  • 조동준 (연세대학교 건축구조헬스케어연구단) ;
  • 박효선 (연세대학교 건축공학과)
  • Oh, Byung-Kwan (Department of Architectural Engineering, Yonsei Univ.) ;
  • Choi, Se-Woon (Department of Architecture, Catholic Univ. of Daegu) ;
  • Kim, Yousok (Center for Structural Health Care Technology in Buildings, Yonsei Univ.) ;
  • Cho, Tong-Jun (Center for Structural Health Care Technology in Buildings, Yonsei Univ.) ;
  • Park, Hyo-Seon (Department of Architectural Engineering, Yonsei Univ.)
  • 투고 : 2014.07.08
  • 심사 : 2014.07.30
  • 발행 : 2014.08.30
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초록

건물의 경우, 용도 변경에 따른 중력하중 변화, 시공 단계에 따라 중력하중 변화 등이 구조물 시스템에 영향을 미친다. 따라서, 본 연구에서는 시스템 식별 변수 설정에 있어 기존에 강성만을 변수로 설정한 방법에 추가적으로 질량을 변수로 설정하여 시스템을 식별하는 기법을 제안한다. 계측한 동특성과 FE모델에서 추출한 동특성 간의 차이를 최소화하여 변수를 탐색하게 된다. 최소화 기법으로 변형 유전 알고리즘을 적용하였다. 보다 전역적 해탐색을 위해 변형 유전 알고리즘은 더 넓은 해 탐색 공간에서 해를 찾는다. 철골 보 구조물의 시뮬레이션을 통해 본 연구가 제시한 기법을 검증하였고 변형 유전 알고리즘과 기존의 단순 유전 알고리즘의 성능을 비교하였다. 또한, 강성 식별만을 수행한 기존 연구의 방법과 본 연구가 제시한 기법간의 차이를 비교하였다.

In the buildings, the systems of structures are influenced by the gravity load changes due to room alteration or construction stage. This paper proposes a system identification method establishing mass as well as stiffness to parameters in model updating process considering mass change in the buildings. In this proposed method, modified genetic algorithm, which is optimization technique, is applied to search those parameters while minimizing the difference of dynamic characteristics between measurement and FE model. To search more global solution, the proposed modified genetic algorithm searches in the wider search space. It is verified that the proposed method identifies the system of structure appropriately through the analytical study on a steel beam structure in the building. The comparison for performance of modified genetic algorithm and existing simple genetic algorithm is carried out. Furthermore, the existing model updating method neglecting mass change is performed to compare with the proposed method.

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