SearcharxivSearch

arXiv subjects

Chun Song

Publications and source records attributed to Chun Song.

2 recordsLinked to original sources

Pressure-Robust Enriched Galerkin Methods for Navier-Stokes Equations

This paper presents an enriched Galerkin (EG) finite element method for the incompressible Navier--Stokes equations. The method augments continuous piecewise linear velocity spaces with elementwise bubble functions, yielding a locally conservative velocity approximation while retaining the efficiency of low-order continuous elements. The viscous term is discretized using a symmetric interior penalty formulation, and the divergence constraint is imposed through a stable pressure space. To enhance the robustness of the velocity approximation with respect to the pressure, a reconstruction operator is introduced in the convective and coupling terms, resulting in a pressure-robust scheme whose accuracy does not deteriorate for small viscosities. Both Picard and Newton linearizations are formulated in a fully discrete manner, and the corresponding linear systems are assembled efficiently at each iteration. Optimal a~priori error estimates are established for the velocity in the mesh-dependent energy norm and for the pressure in the $L^2$ norm. Two representative numerical experiments are presented: a smooth manufactured solution and the lid-driven cavity flow. The numerical results confirm the theoretical convergence rates, demonstrating first-order convergence of the velocity in the energy norm, second-order convergence in the $L^2$ norm, and first-order convergence of the pressure. The proposed EG scheme accurately captures characteristic flow structures, illustrating its effectiveness and robustness for incompressible flow simulation.

math.NA

Second-order unconditionally stable time-filtered scheme for Cahn-Hilliard-Navier-Stokes system

In this work, we introduce the time filtering technique to develop several innovative semi-discrete schemes in time for the Cahn-Hilliard-Navier-Stokes (CHNS) system. These schemes achieve second-order temporal accuracy while maintaining unconditional energy stability. Our approach begins with the discretization of the CHNS system using the first-order semi-implicit method. Subsequently, by applying time filtering techniques, we improve the temporal accuracy from first-order to second-order. This improvement requires only minor modifications to the original first-order semi-implicit scheme, thereby enabling higher accuracy to be achieved at minimal cost. Moreover, we rigorously establish the unconditional energy stability of the proposed schemes through theoretical analysis. Additionally, we extend our work to develop semi-discrete schemes that incorporate variable and adaptive time-stepping strategies, enhancing the flexibility and efficiency of simulations. Numerical examples are presented to validate the theoretical results and demonstrate the effectiveness of the proposed methods.

math.NA