Characteristics Analysis of Urban Rail Transit Train Wind Load on Vertical Sound Barrier

Objective Currently, there are relatively few researches on the fluctuating wind pressure on urban rail transit sound barrier surface, necessitating an analysis on its distribution characteristics and influencing factors. Method Based on the URANS(Unsteady Reynolds-Averaged Navier-Stokes) method and the standard two-equation k-ε(turbulence) model, using the computational fluid dynamics(CFD) software Starccm+, a numerical simulation of rail transit train induced wind loads on vertical noise barriers is carried out. The time-history characteristics and spatial distribution patterns of fluctuating wind pressure acting on the barrier surface are analyzed. Additionally, the influence law of train operating conditions, the relative positional relation between the sound barrier and the train, and the barrier structural parameter variations on fluctuating wind pressure are summarized. Result ＆ Conclusion The pressure fluctuation induced by the passing train head wave are stronger than that induced by the tail wave, with the positive pressure peak of the head wave slightly smaller than the absolute value of its negative pressure peak; the absolute peak values of fluctuating wind pressure decrease with increasing height position, with the peak pressure at top being 43.22% of that at the bottom; the pressure fluctuation at the entrance is stronger than that at the exit, and the pressure fluctuation on the near-side sound barrier surface is stronger than that on the far-side surface; the peak fluctuating wind pressure value increases significantly with train running speed. Compared to single-train operation condition, encountering trains increase the peak values of fluctuating wind pressure by 8.27%. Increasing the sound barrier height by 0.5 m, the fluctuating wind pressure will increase approximately 1.5%～2.5%. The influence of barrier height adjustments on fluctuating wind pressure is weaker than that of changes in train operating conditions.