Literature DB >> 26565348

Direct relations between morphology and transport in Boolean models.

Christian Scholz1,2, Frank Wirner1, Michael A Klatt3, Daniel Hirneise1, Gerd E Schröder-Turk3,4, Klaus Mecke3, Clemens Bechinger1,5.   

Abstract

We study the relation of permeability and morphology for porous structures composed of randomly placed overlapping circular or elliptical grains, so-called Boolean models. Microfluidic experiments and lattice Boltzmann simulations allow us to evaluate a power-law relation between the Euler characteristic of the conducting phase and its permeability. Moreover, this relation is so far only directly applicable to structures composed of overlapping grains where the grain density is known a priori. We develop a generalization to arbitrary structures modeled by Boolean models and characterized by Minkowski functionals. This generalization works well for the permeability of the void phase in systems with overlapping grains, but systematic deviations are found if the grain phase is transporting the fluid. In the latter case our analysis reveals a significant dependence on the spatial discretization of the porous structure, in particular the occurrence of single isolated pixels. To link the results to percolation theory we performed Monte Carlo simulations of the Euler characteristic of the open cluster, which reveals different regimes of applicability for our permeability-morphology relations close to and far away from the percolation threshold.

Mesh:

Year:  2015        PMID: 26565348     DOI: 10.1103/PhysRevE.92.043023

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Ubiquity of anomalous transport in porous media: Numerical evidence, continuous time random walk modelling, and hydrodynamic interpretation.

Authors:  Xiao-Rong Yang; Yan Wang
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

2.  Predicting permeability via statistical learning on higher-order microstructural information.

Authors:  Magnus Röding; Zheng Ma; Salvatore Torquato
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.