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Error estimate of a decoupled numerical scheme for the Cahn-Hilliard-Stokes-Darcy system

  • Wenbin Chen
  • , Shufen Wang
  • , Yichao Zhang
  • , Daozhi Han
  • , Cheng Wang
  • , Xiaoming Wang
  • Fudan University
  • University of Massachusetts Dartmouth
  • Southern University of Science and Technology

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

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.

Original languageEnglish
Pages (from-to)2621-2655
Number of pages35
JournalIMA Journal of Numerical Analysis
Volume42
Issue number3
DOIs
StatePublished - Jul 1 2022

Keywords

  • Error analysis
  • Phase field model
  • Two-phase flow
  • Unconditional stability

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