Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-5535
Title: Determination of the moisture transport coefficient from pore network simulations of spontaneous imbibition in capillary porous media
Authors : Jabbari, Yasaman
Tsotsas, Evangelos
Kirsch, Christoph
Kharaghani, Abdolreza
et. al : No
Published in : Chemical engineering science
Volume(Issue) : 207
Pages : 600
Pages to: 610
Publisher / Ed. Institution : Elsevier
Issue Date: 2-Jul-2019
License (according to publishing contract) : CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Type of review: Peer review (Publication)
Language : English
Subjects : Spontaneous imbibition; Pore network models; Richards equation; Parameter identification; Scale transition
Subject (DDC) : 530: Physics
Abstract: The Richards model for spontaneous imbibition of a wetting liquid into a porous medium is revisited. Two methods are presented to determine the effective parameter in the Richards equation, i.e. the saturation-dependent moisture transport coefficient D(S), from pore network simulations: The first method employs a quasi-static pore network model (QPNM), whereas the second method uses a dynamic pore network model (DPNM) to estimate D(S) in an inverse approach. The DPNM simulation results serve as a reference to assess the quality of these two parameter estimation methods. It is found that the solution of the Richards equation is very sensitive to D(S), especially when the porous medium is close to fully saturated. While the saturation levels over time obtained from solving the Richards equation with D(S) calculated from the inverse method match well with those from the DPNM, some discrepancy is observed when the QPNM is used to estimate D(S) instead.
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Publication type: Article in scientific Journal
DOI : 10.1016/j.ces.2019.07.002
10.21256/zhaw-5535
ISSN: 0009-2509
URI: https://digitalcollection.zhaw.ch/handle/11475/17508
Restricted until : 2021-07-02
Appears in Collections:Publikationen School of Engineering

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