کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
471846 698670 2016 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Geometry models of porous media based on Voronoi tessellations and their porosity–permeability relations
ترجمه فارسی عنوان
مدل های هندسی رسانه های متخلخل مبتنی بر Tessellations Voronoi و روابط نفوذپذیری ـ تخلخل آنها
کلمات کلیدی
تسلسات Voronoi؛ رسانه های متخلخل؛ روش شبکه بولتزمن؛ محاسبات موازی؛ رابطه تخلخل ـ نفوذپذیری؛ ناهمگونی؛ رسانه های فیبر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

In this paper, we present methods that directly model the random structure of porous media using Voronoi tessellations. Three basic structures were generated and they correspond to porous medium geometries with intersecting fractures (granular), interconnected tubes (tubular), and fibers (fibrous). Fluid flow through these models was solved by a massively parallelized lattice Boltzmann code. We established the porosity–permeability relations for these basic geometry models. It is found that, for granular and tubular geometries, the specific surface area is a critical structural parameter that can bring their porosity–permeability relations together under a unified Kozeny–Carman equation. A connected fracture network, superimposed on the basic Voronoi structure, increases the dimensionless permeability relative to the Kozeny–Carman equation; isolated large pores (vugs), on the other hand, decreases the dimensionless permeability relative to the Kozeny–Carman equation. The Kozeny–Carman equation, however, cannot distinguish a heterogeneous structure with an embedded partially penetrating fracture. The porosity–permeability relation for fibrous geometries in general agrees with those established for simple-cubic, body-centered cubic, and face-centered cubic models. In the dilute limit, however, the dependence on the solid fraction is weaker in Voronoi geometries, indicating weaker hydrodynamic interactions among randomly interconnected fibers than those in the idealized models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 72, Issue 2, July 2016, Pages 328–348
نویسندگان
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