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Numerical Simulation of Time Domain of Non-Gaussian Turbulence Induced Buffeting of Long-Span Bridges
SUN Lizhou1, GUO Junhua2, YE Fei2, LUO Haisheng2, WANG Zezheng3,4
2025, 44(5):
27-37.
DOI: 10.3969/j.issn.1674-0696.2025.05.04
In bridge buffeting analysis, the Gaussian process assumption is widely applied to three aspects: turbulence, wind loads, and wind-induced structural vibrations. However, the atmospheric boundary layer, particularly near the central regions of tropical cyclones, often exhibits non-Gaussian turbulence characteristics. The short-duration high-speed airflow in such conditions can amplify structural dynamic responses. Therefore, it is essential to analyze the impact of non-Gaussian turbulence on flexible structures, especially long-span bridges, and compare their wind-induced vibration responses with those under conventional Gaussian turbulence. A time-domain buffeting analysis method for bridges, employing rational function approximations to unsteady self-excited aerodynamic forces and aerodynamic admittance, was utilized to compute vibrations under both Gaussian and non-Gaussian turbulence excitations. The non-Gaussian turbulence time histories were simulated using the Hermite polynomial transformation. Statistical results of bridge buffeting responses were obtained through Monte Carlo simulations. The findings reveal that vibration processes under excitation of both turbulence types conform to Gaussian distributions. However, the skewness of non-Gaussian turbulence significantly increases the root mean square (RMS) values and peak values of buffeting responses at identical wind speeds. Notably, the response growth rate diminishes as wind speed increases, while the peak factor exhibits a slight increase with higher turbulence skewness.
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