A lattice Boltzmann method for Biot's consolidation model of linear poroelasticity
Stephan B. Lunowa, Barbara Wohlmuth

TL;DR
This paper introduces a stable and accurate lattice Boltzmann method for solving Biot's consolidation model of linear poroelasticity, addressing previous stability issues in strongly coupled systems.
Contribution
It develops a novel centered coupling scheme combining lattice Boltzmann methods for flow and elasticity, ensuring stability and accuracy in strongly coupled poroelastic problems.
Findings
The centered coupling scheme is stable for all tested cases.
The method accurately captures discontinuous solutions in consolidation problems.
Naive explicit or semi-implicit schemes are unstable in strong coupling regimes.
Abstract
Biot's consolidation model is a classical model for the evolution of deformable porous media saturated by a fluid and has various interdisciplinary applications. While numerical solution methods to solve poroelasticity by typical schemes such as finite differences, finite volumes or finite elements have been intensely studied, lattice Boltzmann methods for poroelasticity have not been developed yet. In this work, we propose a novel semi-implicit coupling of lattice Boltzmann methods to solve Biot's consolidation model in two dimensions. To this end, we use a single-relaxation-time lattice Boltzmann method for reaction-diffusion equations to solve the Darcy flow and combine it with a recent pseudo-time multi-relaxation-time lattice Boltzmann scheme for quasi-static linear elasticity. We employ a multi-grid method for the latter scheme to achieve quasi-optimal computational cost. For the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLattice Boltzmann Simulation Studies · Aerosol Filtration and Electrostatic Precipitation · Characterization and Applications of Magnetic Nanoparticles
