Parameter and Aerodynamic Force Identification of Single-Degree-of-Freedom System in Wind Tunnel Test
Publication: Journal of Engineering Mechanics
Volume 145, Issue 1
Abstract
The extended Kalman filter with unknown inputs (EKF-UI) method has been extensively studied for application in system and input identification of multiple-degrees-of-freedom systems. The inverse problem is, however, unidentifiable for the case of a single-degree-of-freedom system with unknown system parameters and excitation. This study presents a strategy to address this problem based on output using only the EKF-UI method. A numerical example is given to validate the proposed method for system parameters and input identification. The strategy is then applied to identify the aerodynamic load and system parameters of a tower model in a wind tunnel test. Both system stiffness and damping were found to vary with the incident wind speed, and the vortex shedding-induced excitation in the cross-wind direction was clearly noted in the power spectrum of the identified wind load.
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Acknowledgments
This study was supported by the Key laboratory of bridge wind resistant and new technology of Hunan Province (Grant No. 15K028) and the 111 Project (Grant No. B18062). This project was also supported by the National Key Research and Development Program of China (Grant Nos. 2017YFC0703600 and 2017 YFC0703604).
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Information
Published In
Journal of Engineering Mechanics
Volume 145 • Issue 1 • January 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Oct 8, 2017
Accepted: Jun 18, 2018
Published online: Oct 25, 2018
Published in print: Jan 1, 2019
Discussion open until: Mar 25, 2019
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