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Preasymptotic Taylor dispersion: evolution from the initial condition

Ehsan Taghizadeh, Francisco J. Valdés‐Parada, Brian D. Wood

2020Journal of Fluid Mechanics38 citationsDOIOpen Access PDF

Abstract

Although the process of hydrodynamic dispersion has been studied for many years, the description of solute spreading at early times has proved to be challenging. In particular, for some kinds of initial conditions, the solute evolution may exhibit a second moment that decreases (rather than increases, as is typically observed) in time. Most classical approaches would predict a negative effective hydrodynamic dispersion coefficient for such a situation. This creates some difficulties: not only does a negative dispersion coefficient lead to a violation of the second law of thermodynamics, but it also creates a mathematically ill-posed problem. We outline a set of four desirable qualities in a well-structured theory of unsteady dispersion as follows: (i) positivity of the dispersion coefficient, (ii) non-dependence upon initial conditions, (iii) superposability of solutions and (iv) convergence of solutions to classical asymptotic results. We use averaging to develop an upscaled result that adheres to these qualities. We find that the upscaled equation contains a source term that accounts for the relaxation of the initial configuration. This term decreases exponentially fast in time, leading to correct asymptotic behaviour while also accounting for the early-time solute dynamics. Analytical solutions are presented for both the effective dispersion coefficient and the source term, and we compare our upscaled results with averaged solutions obtained from numerical simulations; both averaged concentrations and spatial moments are compared. Error estimates are quantified, and we find good correspondence between the upscaled theory and the numerical results for all times.

Topics & Concepts

Taylor dispersionDispersion (optics)Computer scienceMechanicsStatistical physicsPhysicsOpticsThermodynamicsDiffusionParticle Dynamics in Fluid FlowsFluid Dynamics and Turbulent FlowsNonlinear Dynamics and Pattern Formation