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Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
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  • Korea Citation Index (KCI)

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Title Estimation of Rotational Stiffness of Connections in Steel Moment Frames by using Artificial Neural Network
Authors 최세운(Se-Woon Choi)
DOI https://doi.org/10.11112/jksmi.2018.22.1.107
Page pp.107-114
ISSN 2234-6937
Keywords 인공신경망 ; 손상평가 ; 회전강성 ; 철골모멘트 Artificial neural network ; Damage detection ; Rotational stiffness ; Steel moment frame
Abstract In this study, the damage detection method is proposed for the rotational stiffness of connections in steel moment frames by using artificial neural network(ANN). The flexural moment of columns, natural frequencies, modeshapes are used for the input layer in ANN while the damage index, that signify the damage level, is used for the output layer in ANN. The 5-story steel moment frame as an example structure is used to generate the train and test data. Total number of damage scenarios considered is 829. From the results of application, it is shown that the proposed method can accurately estimate the location and level of damages.