Buffeting analysis plays an important role in the wind-resistant design of long-span bridges. While computational methods have been widely used in the study of self-excited forces on bridge sections, there is very little work on applying advanced simulation to buffeting analysis. In an effort to address this shortcoming, we developed a framework for the buffeting simulation of bridge sections subjected to turbulent flows. We carry out simulations of a rectangular bridge section with aspect ratio 10 and compute its aerodynamic admittance functions. The simulations show good agreement with airfoil theory and experimental observations. It was found that inflow turbulence plays an important role in obtaining accurate wind loads on the bridge sections. The proposed methodology is envisioned to have practical impact in wind engineering of structures in the future.
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This content will become publicly available on August 1, 2026
Reliability analysis and parametric studies of the buffeting performance of long-span bridges under multiple sets of random variables
Buffeting-induced accelerations and displacements of bridge deck girders commonly drive the bridge design’s comfort, operational, and strength limit states. The scattered nature of the main wind characteristics and bridge responses recorded in multiple monitoring campaigns make deterministic approaches insufficient to assess the bridge’s performance along its life span. This study reports comprehensive sensitivity and reliability studies conducted to unveil the influence of multiple parameters controlling long-span bridges’ buffeting responses. The impact of several sets of random variables on the reliability of the Great Belt Bridge is systematically studied. A detailed treatment of the uncertainty of flutter derivatives consisting of combining their frequency-dependent random definition with their experimentally defined correlation is proposed. Results show the drastic impact of uncertainty in the flutter derivatives, the vertical turbulence intensity, the mean wind velocity, and the definition of the buffeting loads, particularly the slopes of the force coefficients and the aerodynamic admittance, on the buffeting-induced accelerations. The influence of aerodynamic admittance on the results is analyzed in the context of random definitions of mean velocity, turbulent intensities, length scales, structural damping, and aerodynamic characteristics. The computational efficiency of gradient-based reliability methods is discussed, showing its potential to address high-dimensional problems within design frameworks.
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- Award ID(s):
- 2503131
- PAR ID:
- 10593543
- Editor(s):
- Stathopoulos, T
- Publisher / Repository:
- Elsevier
- Date Published:
- Journal Name:
- Journal of Wind Engineering and Industrial Aerodynamics
- Volume:
- 263
- Issue:
- C
- ISSN:
- 0167-6105
- Page Range / eLocation ID:
- 106112
- Subject(s) / Keyword(s):
- Buffeting Long-span bridges Reliability analysis Random variables Aerodynamic admittance Gradient-based reliability methods
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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