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Numerical simulation of wind turbulence by DSRFG and identification of the aerodynamic admittance of bridge decks
Engineering Applications of Computational Fluid Mechanics ( IF 6.1 ) Pub Date : 2020-11-23 , DOI: 10.1080/19942060.2020.1844805
Wei Chen 1 , Zhiwen Zhu 1, 2
Affiliation  

Discretizing and synthesizing random flow generation (DSRFG) is applied to generate inflow turbulence satisfying large eddy simulation (LES) requirements for bridge wind engineering. The variation of the turbulent wind along the computational domain is investigated considering multiple grid sizes and time steps. The aerodynamic admittance functions (AAFs) of a thin plate and two bridge sections are evaluated. Turbulence properties are well maintained from the inlet downstream in the windward direction. The grid resolution minorly affects the along-wind profiles of the mean velocity and turbulence intensity, but it greatly influences the wind spectra. The turbulence energy of the wind spectra may decay in the high-frequency range, which can be improved by applying finer grids and small time steps. Reasonable grid and time step size are suggested to provide stable turbulent wind flow along the computational domain. Fairly good agreement between the estimated AAFs of the thin plate and the Sears function validate the feasibility of LES in predicting the AAFs. The AAFs of the bridge sections are different from the Sears function. The contributions of the longitudinal and vertical velocity components to the buffeting forces are not equal, and it is inappropriate to employ one equivalent AAF for each force component.



中文翻译:

用DSRFG数值模拟风湍流并确定桥面的空气动力导纳

离散和合成随机流生成(DSRFG)用于生成流入湍流,该湍流满足桥梁风电工程的大涡流仿真(LES)要求。考虑多个网格大小和时间步长,研究了湍流沿计算域的变化。评估了薄板和两个桥段的空气导纳函数(AAF)。从进气口顺风向下游可以很好地保持湍流特性。网格分辨率对平均风速和湍流强度沿风的分布影响很小,但对风谱影响很大。风谱的湍流能量可能会在高频范围内衰减,这可以通过应用更精细的网格和较小的时间步长来改善。建议合理的网格和时间步长大小,以沿计算域提供稳定的湍流。薄板的估计AAF与Sears函数之间的良好一致性验证了LES在预测AAF中的可行性。桥梁部分的AAF与Sears功能不同。纵向和垂直速度分量对抖振力的贡献是不相等的,因此对每个力分量采用一个等效的AAF是不合适的。

更新日期:2020-11-23
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