Bayesian Operational Modal Analysis with Interactive Optimization for Model Updating of Large-Size UHV Transmission Towers
Publication: Journal of Structural Engineering
Volume 149, Issue 12
Abstract
Up to date, few studies on the dynamic characteristics analysis and model updating of large-size ultrahigh-voltage (UHV) transmission towers with long cross arms have been conducted due to the lack of onsite measurement data. In this paper, a framework for vibration test–based dynamic characteristics analysis and model updating of UHV transmission towers is proposed using a fast Bayesian fast Fourier transform (FFT) method with an interactive optimization approach. The dynamic response of a T-shaped UHV transmission tower is achieved by performing an ambient vibration test. The dynamic characteristic parameters (frequencies, damping ratios, and mode shapes) of the structure are obtained by using the fast Bayesian FFT method. Meanwhile, the relevant uncertainty of the identified parameters is also quantified. Then, an interactive optimization approach is presented to update the model using a set of automatic model correction schemes based on the particle swarm optimization algorithm. The interactive optimization approach is implemented by the continuous iteration process between the software MATLAB and ANSYS. The proposed interacting pattern could be well applied to the model updating of the transmission towers. This study could provide a reference for the field test, structural design, and safety evaluation of UHV transmission towers.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research is partially supported by the National Natural Science Foundation of China (Grant No. 51978570), the Science and Technology Project of China Electric Power Engineering Consulting Group Co., Ltd. (Grant No. DG1-T02-2018), the Provincial Natural Science Foundation of Shaanxi, China (Grant No. 2021JQ-035), and the Fundamental Research Funds for the Central Universities (Grant No. xzy012023075). The authors would like to express their thanks to Professor Siu-Kui Au of Nanyang Technological University for his theoretical and technical guidance.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 149 • Issue 12 • December 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Feb 20, 2023
Accepted: Aug 14, 2023
Published online: Oct 11, 2023
Published in print: Dec 1, 2023
Discussion open until: Mar 11, 2024
ASCE Technical Topics:
- Analysis (by type)
- Bayesian analysis
- Data analysis
- Dynamic analysis
- Dynamic models
- Electric power
- Energy engineering
- Energy infrastructure
- Engineering fundamentals
- Field tests
- Infrastructure
- Lifeline systems
- Methodology (by type)
- Models (by type)
- Optimization models
- Power transmission
- Power transmission towers
- Research methods (by type)
- Statistical analysis (by type)
- Tests (by type)
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