Search arXivSearch

arXiv · 1904.05231

Models of infiltration into homogeneous and fractal porous media with localized sources

Abstract

We study a random walk infiltration (RWI) model, in homogeneous and in fractal media, with localized sources at their boundaries. The particles released at a source, which is maintained at a constant density, execute unbiased random walks over a lattice; it represents solute infiltration by diffusion into a medium in contact with a reservoir. A scaling approach shows that the infiltrated length, area, or volume evolves in time as the number of distinct sites visited by a single random walker in the same medium. This is consistent with simulations of the lattice model and exact and numerical solutions of the corresponding diffusion equation. In a Sierpinski carpet, the infiltrated area is expected to evolve as t^{D_F/D_W} (Alexander-Orbach relation), where D_F is the fractal dimension of the medium and D_W is the random walk dimension; the numerical integration of the diffusion equation supports this relation and improves results of lattice random walk simulations. In a Menger sponge in which D_F>D_W (a fractal with a dimension close to 3), a linear time increase of the infiltrated volume is predicted and confirmed numerically. Thus, no evidence of fractality can be observed in infiltrated volumes or masses in media where random walks are not recurrent, although the tracer diffusion is anomalous. We compare our results with a fluid infiltration model in which the pressure head is constant at the source and the front displacement is driven by the local gradient of that head. Exact or numerical solutions in two and three dimensions and in a carpet show that this type of fluid infiltration is in the same universality class of RWI, with an equivalence between the head and the particle concentration. These results set a relation between different infiltration processes with localized sources and the recurrence properties of random walks in the same media.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Fabio D. A. Aarao Reis, Vaughan R. Voller. 2019-04-10. Models of infiltration into homogeneous and fractal porous media with localized sources. https://doi.org/10.1103/physreve.99.042111

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

The meaning of entropy (demonstration of a much needed theorem)

The association of information with entropy has been argued on plausibility arguments involving the operation of imaginary engines and beings, and it is not a universal theorem. In this paper, a theorem by Charles Bennett on reversible computation that associates entropy with erasure of information is recognized as this much needed theorem. It is proposed a real, non thermal engine, operated by humans. It is proved: (1) The engine obeys two laws, identical {\it mutatis mutandis} to the two laws of thermodynamics; therefore, the entropy that arises in the operation of the engine has the same meaning of the entropy that arises in the operation of thermal engines. (2) The engine operates in stages similar to the stages in Bennett's three tapes reversible computer; therefore the entropy in the engine has the same meaning of the entropy in computation. The conclusion is that also the thermal entropy is a measure of erased or missing information. As a side result, information is measured in physical units, which complies with Landauer's principle. A prototype at work is shown in video.

cond-mat.stat-mech

Information geometry of perturbed gradient flow systems on hypergraphs: A perspective towards nonequilibrium physics

This article serves to concisely review the link between gradient flow systems on hypergraphs and information geometry which has been established within the last five years. Gradient flow systems describe a wealth of physical phenomena and provide powerful analytical technquies which are based on the variational energy-dissipation principle. Modern nonequilbrium physics has complemented this classical principle with thermodynamic uncertaintly relations, speed limits, entropy production rate decompositions, and many more. In this article, we formulate these modern principles within the framework of perturbed gradient flow systems on hypergraphs. In particular, we discuss the geometry induced by the Bregman divergence, the physical implications of dual foliations, as well as the corresponding infinitesimal Riemannian geometry for gradient flow systems. Through the geometrical perspective, we are naturally led to new concepts such as moduli spaces for perturbed gradient flow systems and thermodynamical area which is crucial for understanding speed limits. We hope to encourage the readers working in either of the two fields to further expand on and foster the interaction between the two fields.

cond-mat.stat-mech

Anomalous diffusion and singular transport from hydrodynamic recoupling

In charge neutral fluids, such as the Dirac fluid in graphene at the Dirac point, charge transport remains diffusive despite the presence of ballistically propagating sound waves: sound waves ``hydrodynamically decouple'' from the slower charge fluctuations. For quasi-one-dimensional charge neutral fluids, we show that this convective charge diffusion is not smoothly connected to the normal diffusion that arises when momentum conservation is broken by noise (or static impurities). Instead, the charge diffusion constant is a discontinuous function of noise, which (in the weak-noise limit) depends only on the ratio of momentum and energy relaxation rates. In the special limit of momentum-conserving noise (e.g., spatially uniform fluctuations of the Hamiltonian), the diffusion constant diverges in the presence of noise. We describe the resulting superdiffusion in terms of coupled Burgers equations. We present a general mechanism---hydrodynamic recoupling---by which weak noise can induce singular changes in transport coefficients. Our results highlight the limits of zero-noise extrapolation for predicting dynamical quantities like diffusion constants.

cond-mat.stat-mech