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Название: Macrotransport Processes: Brownian Tracers as Stochastic Averagers in Effective-medium Theories of Heterogeneous Media
Автор: Brenner H.
Journal of Statistical Physics, Vol. 62, Nos. 5/6, 1991, p. 1095-1119.
Macrotransport processes (generalized Taylor dispersion phenomena) constitute coarse-grained descriptions of comparable convective-diffusive-reactive microtransport processes, the latter supposed governed by microscale linear constitutive equations and boundary conditions, but characterized by spatially nonuniform phenomenological coefficients. Following a brief review of existing applications of the theory, we focus — by way of background information - upon the original (and now classical) Taylor-Aris dispersion problem, involving the combined convective and molecular diffusive transport of a point-size Brownian solute "molecule" (tracer) suspended in a Poiseuille solvent flow within a circular tube. A series of elementary generalizations of this prototype problem to chromatographic-like solute transport processes in tubes is used to illustrate some novel statistical-physical features. These examples emphasize the fact that a solute molecule may, on average, move axially down the tube at a different mean velocity (either larger or smaller) than that of a solvent molecule. Moreover, this solute molecule may suffer axial dispersion about its mean velocity at a rate greatly exceeding that attributable to its axial molecular diffusion alone. Such "chromatographic anomalies" represent novel macroscale non-linearities originating from physicochemical interactions between spatially inhomogeneous convective-diffusive-reactive microtransport processes.