Data-driven analysis and modeling of erosion networks
ORAL
Abstract
Channel formation and branching is widely seen in physical systems where movement of fluid though a porous structure causes the erosion of the medium. We introduce a simple model to capture this feedback mechanism in a multiphase model of flow through a frangible porous medium with dynamic permeability. We explore the model through simulations and examine how the channel morphology changes with different parameters. In addition, given a channel network, we develop a data-driven approach to predict the flow characteristics that led to the network formation.
–
Publication: N. J. Derr, D. C. Fronk, C. A. Weber, A. Mahadevan, C. H. Rycroft, and L. Mahadevan, Flow-driven branching patterns in a porous medium, Phys. Rev. Lett. 125, 158002 (2020).
Presenters
-
Christopher H Rycroft
University of Wisconsin–Madison, University of Wisconsin-Madison
Authors
-
Christopher H Rycroft
University of Wisconsin–Madison, University of Wisconsin-Madison
-
Nicholas J Derr
Massachusetts Institute of Technology
-
David Fronk
Harvard University
-
Christoph A Weber
Max Planck Institute for the Physics of Complex Systems
-
Amala Mahadevan
Woods Hole Oceanographic Institute
-
L Mahadevan
Harvard University