Analysis and Elimination of Numerical Pressure Dependency in Coupled Stokes-Darcy Problem
Jiachuan Zhang
TL;DR
The paper addresses the sensitivity of velocity accuracy to pressure in mixed FEM for the Stokes-Darcy system. It introduces an auxiliary velocity projection $S_h\boldsymbol{u}$ to decouple velocity error from pressure and develops a divergence-free reconstruction operator $\Pi_h$ to enforce exact discrete divergence and interface continuity, yielding pressure-robust discretizations. Theoretical a priori estimates show that the pressure-dependent consistency errors vanish with $\Pi_h$, and numerical tests confirm dramatic reductions in velocity error under high pressure or low viscosity, while maintaining competitive computational costs. The work broadens pressure-robust strategies to coupled multi-physics settings with higher-order and 3D potential, offering a robust framework for simulations in porous media and free-fluid coupling. It paves the way for extensions to time-dependent problems and nonlinear interactions, enhancing reliability and efficiency of multi-physics simulations.
Abstract
This paper presents a pressure-robust mixed finite element method (FEM) for the coupled Stokes-Darcy system. We revisits the rigorous theoretical framework of Layton et al. [2002], where velocity and pressure errors are coupled, masking pressure's influence on velocity accuracy. To investigate the pressure dependency, we introduce a auxiliary velocity projection that preserves discrete divergence and interface continuity constraints. By analyzing the difference between the discrete and projected velocities, we rigorously prove that classical FEM incurs pressure-dependent consistency errors due to inexact divergence enforcement and approximate interface conditions. To eliminate these errors, we design a pressure-robust method using divergence-free reconstruction operator, which enforce exact divergence constraint and interface continuity. Numerical examples confirm the theory: under high-pressure or low-viscosity, the proposed method reduces velocity errors by orders of magnitude compared to classical method.
