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http://dx.doi.org/10.7734/COSEIK.2014.27.4.231

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

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.)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.27, no.4, 2014 , pp. 231-238 More about this Journal
Abstract
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.
Keywords
system identification; model updating; modified genetic algorithm;
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