Abstract
We analyze a fully discrete finite element numerical scheme for the Cahn-Hilliard-Stokes-Darcy system that models two-phase flows in coupled free flow and porous media. To avoid a well-known difficulty associated with the coupling between the Cahn-Hilliard equation and the fluid motion, we make use of the operator-splitting in the numerical scheme, so that these two solvers are decoupled, which in turn would greatly improve the computational efficiency. The unique solvability and the energy stability have been proved in Chen et al. (2017, Uniquely solvable and energy stable decoupled numerical schemes for the Cahn-Hilliard-Stokes-Darcy system for two-phase flows in karstic geometry. Numer. Math., 137, 229-255). In this work, we carry out a detailed convergence analysis and error estimate for the fully discrete finite element scheme, so that the optimal rate convergence order is established in the energy norm, i.e., in the ℓ ∞(0, T; H1) ∩2 (0, T; H2) norm for the phase variables, as well as in the ℓ ∞ (0, T; H1) ∩ ℓ2 (0, T; H2) norm for the velocity variable. Such an energy norm error estimate leads to a cancelation of a nonlinear error term associated with the convection part, which turns out to be a key step to pass through the analysis. In addition, a discrete ℓ2 (0;T; H3) bound of the numerical solution for the phase variables plays an important role in the error estimate, which is accomplished via a discrete version of Gagliardo-Nirenberg inequality in the finite element setting.
Recommended Citation
W. Chen et al., "Error Estimate of a Decoupled Numerical Scheme for the Cahn-Hilliard-Stokes-Darcy System," IMA Journal of Numerical Analysis, vol. 42, no. 3, pp. 2621 - 2655, Oxford University Press; Institute of Mathematics and its Applications, Jul 2022.
The definitive version is available at https://doi.org/10.1093/imanum/drab046
Department(s)
Mathematics and Statistics
Second Department
Mechanical and Aerospace Engineering
Keywords and Phrases
Error analysis; Phase field model; Two-phase flow; Unconditional stability
International Standard Serial Number (ISSN)
1464-3642; 0272-4979
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2023 Oxford University Press; Institute of Mathematics and its Applications, All rights reserved.
Publication Date
01 Jul 2022
Included in
Aerospace Engineering Commons, Mathematics Commons, Mechanical Engineering Commons, Statistics and Probability Commons
