Projects per year
Abstract
In this article, we develop a reduced basis method for efficiently solving the coupled Stokes/Darcy equations with parametric internal geometry. To accommodate possible changes in topology, we define the Stokes and Darcy domains implicitly via a phase-field indicator function. In our reduced order model, we approximate the parameter-dependent phase-field function with a discrete empirical interpolation method (DEIM) that enables affine decomposition of the associated linear and bilinear forms. In addition, we introduce a modification of DEIM that leads to non-negativity preserving approximations, thus guaranteeing positive-semidefiniteness of the system matrix. We also present a strategy for determining the required number of DEIM modes for a given number of reduced basis functions. We couple reduced basis functions on neighboring patches to enable the efficient simulation of large-scale problems that consist of repetitive subdomains. We apply our reduced basis framework to efficiently solve the inverse problem of characterizing the subsurface damage state of a complete in-situ leach mining site.
| Original language | English |
|---|---|
| Pages (from-to) | 1465-1502 |
| Number of pages | 38 |
| Journal | Computational Geosciences |
| Volume | 26 |
| Issue number | 6 |
| E-pub ahead of print | 6 Aug 2022 |
| DOIs | |
| Publication status | Published - Dec 2022 |
Keywords
- Beavers-Joseph-Saffman conditions
- Coupled Stokes/Darcy model
- Discrete empirical interpolation method
- In-situ leach mining
- Model order reduction
- Non-negativity preserving DEIM
- Phase-field
- Reduced basis method
ASJC Scopus subject areas
- Computer Science Applications
- Computers in Earth Sciences
- Computational Theory and Mathematics
- Computational Mathematics
Projects
- 1 Finished
-
ImageToSim: Multiscale Imaging-through-analysis Methods for Autonomous Patientspecific Simulation Workflows
Schillinger, D. (Principal Investigator)
1 Jan 2019 → 31 Dec 2021
Project: Research
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