NANADec 23, 2021

A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures

arXiv:2112.123978 citationsh-index: 32
Originality Incremental advance
AI Analysis

This work provides a scalable solution for engineers and researchers dealing with complex simulations involving coupled contact mechanics and fluid flow in fractured systems, which is an incremental improvement to existing methods.

This paper addresses the challenge of solving coupled frictional contact mechanics and fluid flow in fractured porous media by developing scalable preconditioning strategies. The proposed framework, based on physically-informed block partitioning and multigrid preconditioners, demonstrates algorithmic scalability and performance on a real-world problem.

A preconditioning framework for the coupled problem of frictional contact mechanics and fluid flow in the fracture network is presented. The porous medium is discretized using low-order continuous finite elements, with cell-centered Lagrange multipliers and pressure unknowns used to impose the constraints and solve the fluid flow in the fractures, respectively. This formulation does not require any interpolation between different fields, but is not uniformly inf-sup stable and requires a stabilization. For the resulting 3 x 3 block Jacobian matrix, we design scalable preconditioning strategies, based on the physically-informed block partitioning of the unknowns and state-of-the-art multigrid preconditioners. The key idea is to restrict the system to a single-physics problem, approximately solve it by an inner algebraic multigrid approach, and finally prolong it back to the fully-coupled problem. Two different techniques are presented, analyzed and compared by changing the ordering of the restrictions. Numerical results illustrate the algorithmic scalability, the impact of the relative number of fracture-based unknowns, and the performance on a real-world problem.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes