Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges
The significance of long-span bridges being susceptible to wind-induced vibrations and the need for evaluating their aerodynamic performance is the focus of this study. The main emphasis is on experimental methods for assessing the bridges’ aerodynamic stability, using sectional model tests with the...
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| Format: | Article |
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MDPI AG
2023-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/8/4672 |
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| author | Muhammad Saqlain Awan Ali Javed Muhammad Faheem Ud Din Afzal Luis Federico Navarro Vilchez Armin Mehrabi |
| author_facet | Muhammad Saqlain Awan Ali Javed Muhammad Faheem Ud Din Afzal Luis Federico Navarro Vilchez Armin Mehrabi |
| author_sort | Muhammad Saqlain Awan |
| collection | DOAJ |
| description | The significance of long-span bridges being susceptible to wind-induced vibrations and the need for evaluating their aerodynamic performance is the focus of this study. The main emphasis is on experimental methods for assessing the bridges’ aerodynamic stability, using sectional model tests with the free vibration technique. The dynamic properties of the model are determined from the measured response, using various system identification methods, including the modified Ibrahim time domain (MITD) and iterative least squares (ILS) for two-degree-of-freedom systems and the logarithmic decrement method (LDM) and the Hilbert transform method (HTM) for single-degree-of-freedom (SDOF) systems. A new dynamic testing setup was designed to facilitate single-degree-of-freedom (heave and pitch) and coupled two-degree-of-freedom (2DOF) motion in a wind tunnel section model. The vertical and torsional stiffnesses of the model were adjusted with elastic springs. A Great Belt Bridge section model was selected for testing due to its streamlined aerodynamic shape. The direct and crossflow derivatives were extracted from the measured response using the system identification methods mentioned. Additionally, analytical studies and numerical computational fluid dynamics simulations were conducted to validate the experimental results. The study found that HTM is most effective in SDOF due to its ability to extract both damping and frequency from the nonlinear response, whereas the MITD method is faster in converging system parameters in 2DOF system tests. The experimental and numerical results are comparable to the flat plate, which confirms the streamlined behavior of the Great Belt section from an aerodynamic perspective. |
| first_indexed | 2024-03-11T05:18:26Z |
| format | Article |
| id | doaj.art-e6a0730974bc4e18afcefe7ad3d0d959 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:18:26Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-e6a0730974bc4e18afcefe7ad3d0d9592023-11-17T18:07:30ZengMDPI AGApplied Sciences2076-34172023-04-01138467210.3390/app13084672Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span BridgesMuhammad Saqlain Awan0Ali Javed1Muhammad Faheem Ud Din Afzal2Luis Federico Navarro Vilchez3Armin Mehrabi4Faculty of Civil Engineering, Bauhaus-Universität Weimar, 99423 Weimar, GermanyDepartment of Civil and Environmental Engineering, Florida International University, Miami, FL 33174, USADepartment of Civil and Environmental Engineering, Florida International University, Miami, FL 33174, USAFaculty of Civil Engineering, Bauhaus-Universität Weimar, 99423 Weimar, GermanyDepartment of Civil and Environmental Engineering, Florida International University, Miami, FL 33174, USAThe significance of long-span bridges being susceptible to wind-induced vibrations and the need for evaluating their aerodynamic performance is the focus of this study. The main emphasis is on experimental methods for assessing the bridges’ aerodynamic stability, using sectional model tests with the free vibration technique. The dynamic properties of the model are determined from the measured response, using various system identification methods, including the modified Ibrahim time domain (MITD) and iterative least squares (ILS) for two-degree-of-freedom systems and the logarithmic decrement method (LDM) and the Hilbert transform method (HTM) for single-degree-of-freedom (SDOF) systems. A new dynamic testing setup was designed to facilitate single-degree-of-freedom (heave and pitch) and coupled two-degree-of-freedom (2DOF) motion in a wind tunnel section model. The vertical and torsional stiffnesses of the model were adjusted with elastic springs. A Great Belt Bridge section model was selected for testing due to its streamlined aerodynamic shape. The direct and crossflow derivatives were extracted from the measured response using the system identification methods mentioned. Additionally, analytical studies and numerical computational fluid dynamics simulations were conducted to validate the experimental results. The study found that HTM is most effective in SDOF due to its ability to extract both damping and frequency from the nonlinear response, whereas the MITD method is faster in converging system parameters in 2DOF system tests. The experimental and numerical results are comparable to the flat plate, which confirms the streamlined behavior of the Great Belt section from an aerodynamic perspective.https://www.mdpi.com/2076-3417/13/8/4672long-span bridgesflutter derivativessystem identification methodswind tunnel testfree vibration testcomputational fluid dynamics |
| spellingShingle | Muhammad Saqlain Awan Ali Javed Muhammad Faheem Ud Din Afzal Luis Federico Navarro Vilchez Armin Mehrabi Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges Applied Sciences long-span bridges flutter derivatives system identification methods wind tunnel test free vibration test computational fluid dynamics |
| title | Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges |
| title_full | Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges |
| title_fullStr | Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges |
| title_full_unstemmed | Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges |
| title_short | Evaluation of System Identification Methods for Free Vibration Flutter Derivatives of Long-Span Bridges |
| title_sort | evaluation of system identification methods for free vibration flutter derivatives of long span bridges |
| topic | long-span bridges flutter derivatives system identification methods wind tunnel test free vibration test computational fluid dynamics |
| url | https://www.mdpi.com/2076-3417/13/8/4672 |
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