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http://dx.doi.org/10.7734/COSEIK.2020.33.5.303

Selection of the Number and Location of Monitoring Sensors using Artificial Neural Network based on Building Structure-System Identification  

Kim, Bub-Ryur (Department of Architectural Engineering, Kyungil University)
Choi, Se-Woon (Department of Architectural Engineering, Daegu Catholic University)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.33, no.5, 2020 , pp. 303-310 More about this Journal
Abstract
In this study, a method for selection of the location and number of monitoring sensors in a building structure using artificial neural networks is proposed. The acceleration-history values obtained from the installed accelerometers are defined as the input values, and the mass and stiffness values of each story in a building structure are defined as the output values. To select the installation location and number of accelerometers, several installation scenarios are assumed, artificial neural networks are obtained, and the prediction performance is compared. The installation location and number of sensors are selected based on the prediction accuracy obtained in this study. The proposed method is verified by applying it to 6- and 10-story structure examples.
Keywords
artificial neural network; system identification; installation location; number of sensors;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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