1. Ability of a pore network model to predict fluid flow and drag in saturated granular materials
- Author
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Berend van Wachem, Christopher Knight, Daniele Dini, Catherine O'Sullivan, Adnan Sufian, Engineering & Physical Science Research Council (EPSRC), and Engineering & Physical Science Research Council (E
- Subjects
Technology ,Shortest paths ,0211 other engineering and technologies ,Pore networks ,02 engineering and technology ,0915 Interdisciplinary Engineering ,010502 geochemistry & geophysics ,01 natural sciences ,Engineering ,Immersed boundary ,Fluid dynamics ,SPACE ,Engineering, Geological ,Geosciences, Multidisciplinary ,PACKING ,Geology ,0914 Resources Engineering and Extractive Metallurgy ,Physics - Fluid Dynamics ,Mechanics ,Local flow field ,Immersed boundary method ,Computer Science Applications ,Volumetric flow rate ,Drag ,Physical Sciences ,Computer Science, Interdisciplinary Applications ,MONODISPERSE ,CFD ,Drag force ,VISCOUS-FLOW ,FOS: Physical sciences ,Condensed Matter - Soft Condensed Matter ,Computational fluid dynamics ,Geological & Geomatics Engineering ,0905 Civil Engineering ,PERMEABILITY ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Science & Technology ,Computer simulation ,Lift-induced drag ,business.industry ,Delaunay triangulation ,Fluid Dynamics (physics.flu-dyn) ,DEM ,BEDS ,Geotechnical Engineering and Engineering Geology ,Modified Delaunay ,ARRAYS ,Computer Science ,Soft Condensed Matter (cond-mat.soft) ,NUMERICAL-SIMULATION ,business - Abstract
The local flow field and seepage induced drag obtained from Pore Network Models (PNM) is compared to Immersed Boundary Method (IBM) simulations, for a range of linear graded and bimodal samples. PNM were generated using a weighted Delaunay Tessellation (DT), along with the Modified Delaunay Tessellation (MDT) which considers the merging of tetrahedral Delaunay cells. The local pressure field was very accurately captured in all linear graded and bimodal samples. Local flux (flow rate) exhibited more scatter, but the PNM based on the MDT clearly provided a better correlation with the IBM. There was close similarity in the network shortest paths obtained from PNM and IBM, indicating that the PNM captures dominant flow channels. Further, by overlaying the PNM on a streamline profile, it was demonstrated that local pressure drops coincided with the pore constrictions. A rigorous validation was undertaken for the drag force calculated from the PNM by comparing with analytical solutions for ordered array of spheres. This method was subsequently applied to all linear graded and bimodal samples, and the calculated force was compared with the IBM data. Linear graded samples were able to calculate the force with reasonable accuracy, while the bimodal sample exhibited slightly more scatter., Comment: 37 pages, 28 figures. Article published in Computers and Geotechnics (see https://doi.org/10.1016/j.compgeo.2019.02.007)
- Published
- 2019
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