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首页> 外文期刊>Journal of Fluids Engineering: Transactions of the ASME >A Method of Measuring Turbulent Flow Structures With Particle Image Velocimetry and Incorporating Into Boundary Conditions of Large Eddy Simulations
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A Method of Measuring Turbulent Flow Structures With Particle Image Velocimetry and Incorporating Into Boundary Conditions of Large Eddy Simulations

机译:一种用粒子图像速度测量湍流结构的方法,并掺入大型涡仿真边界条件

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摘要

The setup of inlet conditions for a large eddy simulation (LES) is a complex and important problem. Normally, there are two methods to generate the inlet conditions for LES, i.e., synthesized turbulence methods and precursor simulation methods. This study presents a new method for determining inlet boundary conditions of LES using particle image velocimetry (PIV). LES shows sensitivity to inlet boundary conditions in the developing region, and this effect can even extend into the fully developed region of the flow. Two kinds of boundary conditions generated from PIV data, i.e., steady spatial distributed inlet (SSDI) and unsteady spatial distributed inlet (USDI), are studied. PIV provides valuable field measurement, but special care is needed to estimate turbulent kinetic energy and turbulent dissipation rate for SSDI. Correlation coefficients are used to analyze the autocorrelation of the PIV data. Different boundary conditions have different influences on LES, and their advantages and disadvantages for turbulence prediction and static pressure prediction are discussed in the paper. Two kinds of LES with different sub-grid turbulence models are evaluated: namely dynamic Smagorinsky-Lilly model (Lilly model) and wall modeled large eddy simulation (WMLES model). The performances of these models for flow prediction in a square duct are presented. Furthermore, the LES results are compared with PIV measurement results and Reynolds-stress model (RSM) results at a downstream location for validation.
机译:大型涡模拟(LES)的入口条件的设置是一个复杂和重要的问题。通常,有两种方法可以产生LES的入口条件,即合成的湍流方法和前体仿真方法。本研究提出了一种使用粒子图像速度(PIV)确定LES的入口边界条件的新方法。 LES显示了对显影区域中的入口边界条件的敏感性,并且这种效果甚至可以延伸到流动的完全发育区域中。研究了从PIV数据,即稳定空间分布式入口(SSDI)和不稳定的空间分布式入口(USDI)产生的两种边界条件。 PIV提供有价值的现场测量,但需要特别小心来估算SSDI的湍流动能和湍流耗散速率。相关系数用于分析PIV数据的自相关。不同的边界条件对LES的影响不同,并且在纸上讨论了湍流预测和静压预测的优点和缺点。评估了两种具有不同子电网湍流模型的LES:即动态Smagorinsky-Lilly模型(Lilly Model)和墙体建模的大型涡流模拟(WMLES型号)。提出了这些用于方形管道中的流动预测模型的性能。此外,将LES结果与PIV测量结果和雷诺 - 应力模型(RSM)进行比较,从而在下游位置进行验证。

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