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'Hybrid' multiple mapping conditioning on passive and reactive scalars

机译:被动和反应式标量上的“混合”多重映射条件

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A two-dimensional, hybridized multiple mapping conditioning (MMC) model is used to model local extinction and reignition phenomena in homogeneous, isotropic decaying turbulence. The equations are solved in a prescribed, jointly Gaussian reference space with stochastic reference variables emulating the fluctuations of the mixture fraction and normalized sensible enthalpy conditioning variables. In "pure" MMC the joint PDF of the conditioning scalars is a solved quantity. Here we use a hybrid method where the time evolution of the marginal PDF for mixture fraction is solved and a presumed β-PDF is used for the conditional distribution of the normalized sensible enthalpy. Model results are compared with DNS in three flame cases with varying levels of local extinction, up to global extinction. Results for principal chemical species are in very good agreement with DNS and those for intermediate species are also satisfactory. The doubly conditioned MMC yields results which are considerably more accurate than those by modeling with conditioning on mixture fraction alone. A transformation of the Gaussian reference space casts the MMC model in the same form as conditional moment closure (CMC). The great advantage is that the MMC model contains the doubly conditioned scalar dissipation terms in closed form and these are generally found to be in good agreement with the DNS data.
机译:使用二维混合多重映射条件(MMC)模型对均质各向同性衰减湍流中的局部灭绝和重燃现象进行建模。方程在指定的联合高斯参考空间中求解,其随机参考变量模拟混合物分数的波动和归一化的敏感焓条件变量。在“纯” MMC中,调节标量的联合PDF是一个已解决的数量。在这里,我们使用一种混合方法,其中解决了混合分数的边际PDF的时间演化问题,并且将假定的β-PDF用于归一化敏感焓的条件分布。在三种情况下,模型结果与DNS进行了比较,这三种情况具有不同程度的局部灭绝,直至全球灭绝。主要化学物质的结果与DNS非常吻合,中间化学物质的结果也令人满意。双条件MMC产生的结果比仅对混合物分数进行条件建模的结果要准确得多。高斯参考空间的转换将MMC模型转换为与条件矩闭合(CMC)相同的形式。最大的优点是MMC模型包含封闭形式的双条件标量耗散项,并且通常发现它们与DNS数据高度吻合。

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