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Direct Numerical Simulation, Theories and Modelling of Wall Turbulence with a Range of Pressure Gradients

机译:压力梯度范围内壁湍流的直接数值模拟,理论和建模

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A Direct Numerical Simulation (DNS) of Couette-Poiseuille flow is presented and analyzed in two ways. First, we test four semi-theoretical proposals for universal behaviour of respectively the velocity, the mixing length, the eddy viscosity, and the turbulence-kinetic-energy production rate. The question is which one may carry over from zero pressure gradient, for which they all agree, to finite pressure gradients, in which case they conflict. The DNS results, which are consistent between the favorable and the adverse pressure gradients, do not agree precisely with any of the theoretical proposals, but fall between those based on velocity (i.e., the log law) and on production. We do not know of a physical explanation for this trend, which has implications for theory, modelling, and wall functions. The residual effect of pressure gradients on the velocity profile, taken at y (+)=50, is examined in a wide range of simulations and experiments, which almost all turn out to follow a weak but definite trend to fall in adverse gradients. The second use of the data is to assess the accuracy of two turbulence models of the Reynolds-Averaged Navier-Stokes (RANS) type. These models are used in two modes. In the traditional mode, only the U velocity component is non-zero, and it depends only on the wall-normal coordinate y. In the newer mode, the V and W components are non-zero and the flow is allowed to depend on the lateral coordinate z with periodic conditions, but still not on x or t. For both pure Couette flow and the Couette-Poiseuille case considered here, this set-up allows some RANS models with nonlinear constitutive relations to generate streamwise vortices, which fill the channel. The presence of the rolls in the RANS generally improves the agreement with DNS and experiment, both qualitatively since the vortices are a known feature of such flows, and quantitatively, especially in terms of mixing in the core region of the channel. The vortices raise the skin-friction coefficient on the adverse-pressure-gradient side by as much as 30 %, depending on the chosen spacing between vortices.
机译:提出并通过两种方式分析了Couette-Poiseuille流的直接数值模拟(DNS)。首先,我们针对速度,混合长度,涡流粘度和湍流动力学能量产生速率的通用行为测试了四个半理论性建议。问题是,哪一个可能会从他们都同意的零压力梯度延续到有限的压力梯度,在这种情况下它们会发生冲突。 DNS结果在有利和不利的压力梯度之间是一致的,与任何理论建议均不完全一致,但介于基于速度(即对数定律)和产量的结果之间。我们不知道这种趋势的物理解释,这种解释对理论,建模和墙函数具有影响。在广泛的模拟和实验中检查了y(+)= 50时压力梯度对速度分布的残余影响,结果表明,几乎所有这些结果都遵循弱但确定的下降趋势。数据的第二个用途是评估雷诺平均Navier-Stokes(RANS)类型的两个湍流模型的准确性。这些模型以两种模式使用。在传统模式下,仅U速度分量为非零,并且仅取决于壁法线坐标y。在较新的模式中,V和W分量不为零,并且允许流以周期性条件依赖于横向坐标z,但仍不依赖于x或t。对于此处考虑的纯Couette流和Couette-Poiseuille情况,此设置都允许一些具有非线性本构关系的RANS模型生成流态涡流,这些涡流会填充通道。由于涡流是此类流的已知特征,因此从质上说,RANS中卷的存在通常会改善与DNS和实验的一致性,特别是在通道核心区域的混合方面,这在质量上是有利的。涡流将逆压梯度侧的皮肤摩擦系数提高多达30%,这取决于涡流之间的选定间距。

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