The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach
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 avera...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2017/5482307 |
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| _version_ | 1849306649364267008 |
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| author | Mosbeh R. Kaloop Jong Wan Hu Yasser Bigdeli |
| author_facet | Mosbeh R. Kaloop Jong Wan Hu Yasser Bigdeli |
| author_sort | Mosbeh R. Kaloop |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-36eb503eebd94db3b3600bf3642f872d |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-36eb503eebd94db3b3600bf3642f872d2025-08-20T03:55:01ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/54823075482307The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model ApproachMosbeh R. Kaloop0Jong Wan Hu1Yasser Bigdeli2Department of Civil and Environmental Engineering, Incheon National University, Incheon, Republic of KoreaDepartment of Civil and Environmental Engineering, Incheon National University, Incheon, Republic of KoreaDepartment of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, USAThis 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.http://dx.doi.org/10.1155/2017/5482307 |
| spellingShingle | Mosbeh R. Kaloop Jong Wan Hu Yasser Bigdeli The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach Shock and Vibration |
| title | The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach |
| title_full | The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach |
| title_fullStr | The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach |
| title_full_unstemmed | The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach |
| title_short | The Performance of Structure-Controller Coupled Systems Analysis Using Probabilistic Evaluation and Identification Model Approach |
| title_sort | performance of structure controller coupled systems analysis using probabilistic evaluation and identification model approach |
| url | http://dx.doi.org/10.1155/2017/5482307 |
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