An economical representation of effects of turbulence on the time-evolving structure of diffusive scalar fields is obtained by introducing a hierarchical (tree) network connecting fluid parcels, with effects of turbulent advection represented by swapping pairs of sub-trees at rates determined by turbulence time scales associated with the sub-trees. The fluid parcels reside at the base of the tree. The tree structure partitions the fluid parcels into adjacent pairs (or more generally, p-tuples). Adjacent parcels intermix at rates governed by diffusion time scales based on molecular diffusivities and parcel sizes. This simple procedure efficiently accomplishes long-standing objectives of turbulent mixing model development, such as generating physically based time histories of fluid-parcel nearest-neighbor encounters and the associated spatial structure of turbulent scalar fields. Correspondences between features of the hierarchical formulation and turbulent mixing phenomenology, both generic and case-specific, are noted.
Keywords Turbulence · Stochastic model · Mixing
MotivationMixing closure in computational models of turbulent combustion is typically implemented by partially or fully intermixing pairs or groups of notional fluid parcels selected from a parcel population that discretely instantiates the joint probability distribution function (PDF) of the thermochemical variables that are time advanced by the model [10]. In the absence of specially formulated constraints, this approach allows the intermixing of parcels with highly dissimilar states, which is both unphysical in principle and detrimental to model performance in practice.One such constraint that has proven effective is to intermix only parcel pairs that are close, by some criterion, in a metric space defined on the manifold of thermochemical states [26]. This constraint avoids the noted artifact, but the resulting formulation lacks other A.R. Kerstein (B)