The accurate description of the aerodynamic forces due to free-stream turbulence acting on a stationary bridge deck represents a challenging task. This paper presents a Computational Fluid Dynamics (CFD) approach based on the two-dimensional (2D) Vortex Particle Method (VPM) for simulation of a six-component complex aerodynamic admittance. Deterministic free-stream turbulence is simulated by modeling the wakes of two fictitious pitching airfoils with vortex particles. For out-of-or in-phase sinusoidal oscillations of the airfoils, a longitudinal or vertical sinusoidal gust is obtained along the centerline, respectively. A closed-form solution, based on an existing mathematical model, is deduced to relate the gust amplitudes and vortex particles' circulation. Positioning a section downstream of the particle release locations yields sinusoidal buffeting forces. The complex aerodynamic admittance is then determined as a transfer function between the buffeting forces and the deterministic free-stream turbulence. A verification of the method is performed for the complex Sears' admittance of a flat plate. Finally, the CFD method is validated against wind tunnel tests for a streamlined bridge deck. The results from both, verification and validation, yielded a good agreement. Applications of the presented method are foreseen in the scope of buffeting analyses of line-like structures under the strip assumption.
Multi-box girder deck section (typically a twin-box) is considered an effective solution to increase the aeroelastic stability threshold. However, besides this positive feature, twin-box sections may have some aerodynamic problems that should be accurately addressed during the tailoring of the section: dependence of unsteady force coefficients of the mean angle of attack, amplitude of motion, Reynolds number; complex vortex shedding phenomenon and related vortex-induced vibrations. It is shown that small geometrical details can influence significantly the overall performance of the twin-box section, calling for further research studies on this topic.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.