A Mathematical Model of Nonlinear Aerodynamic Damping for High-Rise Buildings
Publication: Journal of Engineering Mechanics
Volume 150, Issue 5
Abstract
Vortex-induced vibration (VIV) is a critical problem for high-rise buildings. Thus, accurate prediction of aerodynamic damping becomes a key problem in the wind-resistant design of high-rise buildings. A common feature of the existing aerodynamic damping models is that most of their model parameters are functions of wind velocity. Such a feature leads to the inconvenience of users because the parameters need to change from case to case. This paper proposes an aerodynamic damping model that is a function of structure responses only. That means it does not need to adjust its parameters in different wind speeds. A single-degree-of-freedom aeroelastic square section high-rise building model with different structural damping ratios is tested in a wind tunnel for the analytical modeling. According to the identified aerodynamic damping coefficients and its relation with response amplitudes, the nonlinear aerodynamic damping model is proposed. It is a polynomial-type function of the instantaneous velocity and displacement of the structure. The results show that predicted responses, by using one set of model parameters, are in good agreement with the experiment data in the whole tested wind speed range. These results suggest that the proposed aerodynamic model can be a generic model for prediction of wind-induced vibration.
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Data Availability Statement
All data, model, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors are grateful for the financial support by Natural Science Foundation of China (52078087), the Graduate Research and Innovation Foundation of Chongqing, China (CYB22027), the 111 Project of the Ministry of Education, and the Bureau of Foreign Experts of China (No. B18062).
Author contributions: Yi Hui: Conceptualization, Methodology, Writing–original draft, Project administration, Funding acquisition. Zhen Liu: Conceptualization, Methodology, Software, Writing–original draft, Validation. Kunpeng Guo: Experiment, Writing–review. Qingshan Yang: Funding acquisition, Supervision.
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Published In
Journal of Engineering Mechanics
Volume 150 • Issue 5 • May 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Sep 20, 2023
Accepted: Jan 9, 2024
Published online: Mar 11, 2024
Published in print: May 1, 2024
Discussion open until: Aug 11, 2024
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