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首页> 外文期刊>International Journal of Environment and Pollution >Lagrangian micromixing modelling of reactive scalar statistics: scalar mixing layer in decaying grid turbulence
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Lagrangian micromixing modelling of reactive scalar statistics: scalar mixing layer in decaying grid turbulence

机译：拉格朗日误标统计模型：腐烂栅格湍流中的标量混合层

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摘要

A Lagrangian micro-mixing numerical model estimates the concentration statistics of reactive pollutants (NO, O-3 and NO2) of a scalar mixing layer in decaying grid turbulence. A stochastic macro-mixing scheme computes the fluid particle trajectories, which describe the turbulent flow (Lagrangian turbulence), whereas the micro-mixing scheme interaction by the exchange with the conditional mean (IECM), implementing a new formulation for the mixing time, represents the dissipation of concentration turbulent fluctuations due to molecular diffusion. The non-homogeneous reaction-dominated limit (NHRDL) of the conserved scalar theory simulates chemical reactions. The numerical model integrates these three schemes and is validated by comparison with experimental and direct numerical simulation (DNS) data, whereas inter-comparisons with other numerical models are also reported. The study focuses on the reliability of Lagrangian stochastic models in representing micro-scale pollutant dispersion (air quality) and the importance of representing chemical reactions depending on instantaneous concentrations rather than their means.
机译：拉格朗日微混合数模型估计标量混合层中的反应性污染物（NO，O-3和NO2）的浓度统计，以衰减栅格湍流。随机宏混合方案计算流体粒子轨迹，其描述湍流（拉格朗日湍流），而通过交换的微混合方案与条件平均值（IECM）相互作用，实现用于混合时间的新配方，代表由于分子扩散引起的浓度湍流波动的耗散。保守标量理论的非均相反应占极限（NHRDL）模拟化学反应。数值模型集成了这三种方案，并通过与实验和直接数值模拟（DNS）数据进行比较验证，而还报告了与其他数值模型的相互比较。该研究侧重于拉格朗日随机模型的可靠性在代表微尺寸污染物分散（空气质量）以及根据瞬时浓度而不是其手段代表化学反应的重要性。

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