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Low-Dissipation Simulation Methods and Models for Turbulent Subsonic Flow

机译:湍流亚音速流的低耗散模拟方法和模型

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The simulation of turbulent flows by means of computational fluid dynamics is highly challenging. The costs of an accurate direct numerical simulation (DNS) are usually too high, and engineers typically resort to cheaper coarse-grained models of the flow, such as large-eddy simulation (LES). To be suitable for the computation of turbulence, methods should not numerically dissipate the turbulent flow structures. Therefore, energy-conserving discretizations are investigated, which do not dissipate energy and are inherently stable because the discrete convective terms cannot spuriously generate kinetic energy. They have been known for incompressible flow, but the development of such methods for compressible flow is more recent. This paper will focus on the latter: LES and DNS for turbulent subsonic flow. A new theoretical framework for the analysis of energy conservation in compressible flow is proposed, in a mathematical notation of square-root variables, inner products, and differential operator symmetries. As a result, the discrete equations exactly conserve not only the primary variables (mass, momentum and energy), but also the convective terms preserve (secondary) discrete kinetic and internal energy. Numerical experiments confirm that simulations are stable without the addition of artificial dissipation. Next, minimum-dissipation eddy-viscosity models are reviewed, which try to minimize the dissipation needed for preventing sub-grid scales from polluting the numerical solution. A new model suitable for anisotropic grids is proposed: the anisotropic minimum-dissipation model. This model appropriately switches off for laminar and transitional flow, and is consistent with the exact sub-filter tensor on anisotropic grids. The methods and models are first assessed on several academic test cases: channel flow, homogeneous decaying turbulence and the temporal mixing layer. As a practical application, accurate simulations of the transitional flow over a delta wing have been performed.
机译:通过计算流体动力学来模拟湍流是非常具有挑战性的。精确的直接数值模拟(DNS)的成本通常过高,工程师通常会采用便宜的粗粒度流模型,例如大涡流模拟(LES)。为了适合于湍流的计算,方法不应在数值上消散湍流结构。因此,研究了能量守恒离散化,该离散化不耗散能量并且固有地稳定,因为离散对流项不能虚假地产生动能。它们以不可压缩的流动而闻名,但是这种用于可压缩流动的方法的开发是最近的。本文将重点讨论后者:用于湍流亚音速流的LES和DNS。以平方根变量,内积和微分算子对称性的数学表示形式,提出了可压缩流能量守恒分析的新理论框架。结果,离散方程不仅精确地保留了主要变量(质量,动量和能量),而且对流项还保留了(次级)离散动能和内部能量。数值实验证实,在不增加人工耗散的情况下,仿真是稳定的。接下来,对最小耗散涡流粘度模型进行了回顾,该模型试图最大程度地减少为防止子网格规模污染数值解所需的耗散。提出了一种适用于各向异性网格的新模型:各向异性最小耗散模型。该模型适当地针对层流和过渡流关闭,并且与各向异性网格上的确切子滤波器张量一致。首先在几个学术测试案例上评估方法和模型:通道流,均匀衰减湍流和时间混合层。作为实际应用,已经对三角翼上的过渡流进行了精确的模拟。

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