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http://dx.doi.org/10.11112/jksmi.2018.22.1.107

Estimation of Rotational Stiffness of Connections in Steel Moment Frames by using Artificial Neural Network  

Choi, Se-Woon (Dept. of Architecture, Daegu Catholic University)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.22, no.1, 2018 , pp. 107-114 More about this Journal
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.
Keywords
Artificial neural network; Damage detection; Rotational stiffness; Steel moment frame;
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Times Cited By KSCI : 2  (Citation Analysis)
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