论文标题

一种基于流动界数的新模型,用于在混合限制反应中进行时间依赖性有效分散

A new flow-kinematics-based model for time-dependent effective dispersion in mixing-limited reactions

论文作者

Deucher, Ricardo H., Durlofsky, Louis J.

论文摘要

开发和应用了2D混合限制的反应性传输系统的1D表示的新的上尺度过程。在此设置中,具有上尺度模型的关键并发症是,该过程必须区分界面扩展,这是由空间可变速度场驱动的,而混合的驱动,其中组件相互接触并彼此接触并反应。我们的模型通过使用时间依赖的有效分散项来捕获通过扩散而引起的增强混合。这种分散的早期行为是由流量运动学驱动的,而在后期,它达到了泰勒 - 散布的极限。早期行为是使用非常快的(纯粹的对流)跟踪过程对早期行为进行建模的,而从缩放参数估算了延迟效果。模型中唯一的自由参数是渐近有效分散。通过校准1D结果以参考2D结果来确定此数量。在大多数情况下,使用涉及系统变量的无量纲分组的拟合估计。使用能够以高卵石数量解决前线的伪谱方法生成双分子反应系统的数值结果。在广泛的参数范围内,对两种不同类型的2D速度字段进行了结果。显示的模型显示可为转换因子提供高度准确的结果,以及反应发生的空间分布的合理近似值。该模型还被证明对非反应系统有效,并且可以在校准步骤中使用此类结果以实现计算节省。

A new upscaling procedure that provides 1D representations of 2D mixing-limited reactive transport systems is developed and applied. A key complication with upscaled models in this setting is that the procedure must differentiate between interface spreading, driven by the spatially variable velocity field, and mixing, in which components contact one another and react. Our model captures the enhanced mixing caused by spreading through use of a time-dependent effective dispersion term. The early-time behavior of this dispersion is driven by flow kinematics, while at late times it reaches a Taylor-dispersion-like limit. The early-time behavior is modeled here using a very fast (purely advective) particle tracking procedure, while late-time effects are estimated from scaling arguments. The only free parameter in the model is the asymptotic effective dispersion. This quantity is determined for a few cases by calibrating 1D results to reference 2D results. For most cases, it is estimated using a fit involving a dimensionless grouping of system variables. Numerical results for bimolecular reaction systems are generated using a pseudo-spectral approach capable of resolving fronts at high Peclet numbers. Results are presented for two different types of 2D velocity fields over a wide range of parameters. The upscaled model is shown to provide highly accurate results for conversion factor, along with reasonable approximations of the spatial distribution of reaction occurrence. The model is also shown to be valid for non-reacting systems, and results for such cases can be used in the calibration step to achieve computational savings.

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