一种改进的大涡模拟入口湍流生成方法研究

RESEARCH ON AN IMPROVED INFLOW TURBULENCE GENERATION APPROACH FOR LARGE EDDY SIMULATION

  • 摘要: 大涡模拟中的入口湍流的生成方法研究,是当前计算风工程领域国内外研究的热点问题。该文在NSRFG(narrowband synthesis random flow generation)方法的基础上,对其中重要参数无量纲长度尺度\beta、空间相关性R和调谐因子\gamma _j进行深入理论分析,推导了调谐因子\gamma _j与无量纲长度尺度\beta 的函数关系,建议了一种改进的入口湍流合成技术——INSRFG(improved NSRFG)方法。利用该方法进行了与规范相对应的4类标准地貌湍流风场的大涡模拟数值仿真;通过对比分析,表明INSRFG方法模拟的大气边界层湍流风场,能较好满足脉动风速功率谱、空间相关性等湍流风场基本特性,并较好实现大气边界层风场模拟中的平衡态基本要求。研究表明,这种新的INSRFG湍流合成方法具有参数取值明确、数学模型简洁、计算效率相对较高的优点,是一种进行建筑结构大涡模拟研究的具有较好前景的通用入口湍流生成方法。

     

    Abstract: The inflow turbulence generation technique in the large eddy simulation (LES) research is a hot topic in the field of computational wind engineering. Based on the narrowband synthesis random flow generation (NSRFG) approach, the quantitative relationship between the tuning factor \gamma _j and the dimensionless length scale \beta is theoretically derived through deep investigation of several important parameters, i.e., the dimensionless length scale \beta , the spatial correlation R, and the tuning factor \gamma _j. An improved inflow turbulence generation technique, namely the improved NSRFG (INSRFG) method, is subsequently proposed. The LES simulations of turbulent wind fields corresponding to four typical standard wind terrains defined in the code are carried out by utilizing this method. The numerical comparison shows its applicability and accuracy in simulating the turbulent atmospheric boundary layer (ABL) flows, which satisfy the requirements of the fluctuating wind characteristics, such as the wind speed spectrum and the spatial correlation, and successfully achieve the equilibrium status for the numerical simulation of the ABL flow. The systematic study in this work shows that the proposed INSRFG technique has the advantages of clear parameter definition, compact mathematical expression and relatively high calculation efficiency, and has the potential to become a general inflow turbulence generator for large eddy simulations of building structures.

     

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