Hong-Son Nguyen1, Van-Quyen Nguyen2, Ngoc-An Tran3, Phan-Anh Nguyen3This email address is being protected from spambots. You need JavaScript enabled to view it., and Ngoc-Dung Bui4
1HaUI Institute of Technology, Hanoi University of Industry, Hanoi, Vietnam
2Department of Mechatronics, School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam
3Faculty of Civil Engineering, Vietnam Maritime University, Haiphong City, Vietnam
4Faculty of Technology and Engineering, Hai Phong University, Haiphong City, Vietnam
Received: July 29, 2025 Accepted: November 6, 2025 Publication Date: December 21, 2025
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
A wide range of studies have focused on improving the aerodynamic stability of long-span bridges by raising their critical flutter wind speed. There are two main approaches to enhancing aerodynamic stability: mechanical and aerodynamic methods. The aerodynamic approach suppresses vibrations not by dissipating energy, but by generating additional aerodynamic forces induced through the installation of thin plates. However, the optimization process in the case of passive control is highly complex, as it involves not only the forces generated by wind interaction with the deck structure but also those acting on attached thin plates. This paper proposes an optimization algorithm that simplifies the determination of optimal parameters for wings used in passive aerodynamic control. Based on the complex eigenvalue method, the optimization process is implemented using the Genetic Algorithm (GA) function available in MATLAB. In addition, this paper also reviews several previously proposed passive aerodynamic control strategies and, based on that, introduces a novel configuration: a wing mounted to one side of the deck using a hinged connection and a torsional spring. Numerical simulation results demonstrate that the newly proposed configuration outperforms previous approaches in all investigated scenarios.
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