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The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach
Joint Authors
Kaloop, Mosbeh R.
Bigdeli, Yasser
Hu, Jong Wan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-08
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This study evaluates the performance of passively controlled steel frame building under dynamic loads using time series analysis.
A novel application is utilized for the time and frequency domains evaluation to analyze the behavior of controlling systems.
In addition, the autoregressive moving average (ARMA) neural networks are employed to identify the performance of the controller system.
Three passive vibration control devices are utilized in this study, namely, tuned mass damper (TMD), tuned liquid damper (TLD), and tuned liquid column damper (TLCD).
The results show that the TMD control system is a more reliable controller than TLD and TLCD systems in terms of vibration mitigation.
The probabilistic evaluation and identification model showed that the probability analysis and ARMA neural network model are suitable to evaluate and predict the response of coupled building-controller systems.
American Psychological Association (APA)
Kaloop, Mosbeh R.& Hu, Jong Wan& Bigdeli, Yasser. 2017. The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach. Shock and Vibration،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1204664
Modern Language Association (MLA)
Kaloop, Mosbeh R.…[et al.]. The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach. Shock and Vibration No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1204664
American Medical Association (AMA)
Kaloop, Mosbeh R.& Hu, Jong Wan& Bigdeli, Yasser. The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1204664
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204664