Superconvergence of the MINI mixed finite element discretization of the Stokes problem: An experimental study in 3D

Stokes flows are a type of fluid flow where convective forces are small in comparison with viscous forces, and momentum transport is entirely due to viscous diffusion. Besides being routinely used as benchmark test cases in numerical fluid dynamics, Stokes flows are relevant in several applications in science and engineering including porous media flow, biological flows, microfluidics, microrobotics, and hydrodynamic lubrication. The present study concerns the discretization of the equations of motion of Stokes flows in three dimensions utilizing the MINI mixed finite element, focusing on the superconvergence of the method which was investigated with numerical experiments using five purpose-made benchmark test cases with analytical solution. Despite the fact that the MINI element is only linearly convergent according to standard mixed finite element theory, a recent theoretical development proves that, for structured meshes in two dimensions, the pressure superconverges with order O"h$ % ⁄ ', as well as the linear part of the computed velocity with respect to the piecewise-linear nodal interpolation of the exact velocity. The numerical experiments documented herein suggest a more general validity of the superconvergence in pressure, possibly to unstructured tetrahedral meshes and even up to quadratic convergence which was observed with one test problem, thereby indicating that there is scope to further extend the available theoretical results on convergence.

[1]  Rüdiger Verfürth,et al.  A posteriori error estimators for the Stokes equations II non-conforming discretizations , 1991 .

[2]  A. J. Wathen,et al.  Preconditioning , 2015, Acta Numerica.

[3]  Sungyun Lee,et al.  Modified Mini finite element for the Stokes problem in ℝ2 or ℝ3 , 2000, Adv. Comput. Math..

[4]  M. Fortin,et al.  Mixed Finite Element Methods and Applications , 2013 .

[5]  M. Medina‐Sánchez,et al.  Swimming Microrobots: Soft, Reconfigurable, and Smart , 2018 .

[6]  B. Joe,et al.  Relationship between tetrahedron shape measures , 1994 .

[7]  Franco Dassi,et al.  Tetrahedral mesh improvement using moving mesh smoothing and lazy searching flips , 2016 .

[8]  P. Alam,et al.  R , 1823, The Herodotus Encyclopedia.

[9]  R. Verfürth A posteriori error estimators for the Stokes equations , 1989 .

[10]  D. A. Field Qualitative measures for initial meshes , 2000 .

[11]  Herbert Edelsbrunner,et al.  Sliver exudation , 2000, J. ACM.

[12]  Hehu Xie,et al.  Supercloseness and superconvergence of stabilized low-order finite element discretizations of the Stokes Problem , 2011, Math. Comput..

[13]  M. Benzi Preconditioning techniques for large linear systems: a survey , 2002 .

[14]  Rihui Lan,et al.  A Novel Arbitrary Lagrangian–Eulerian Finite Element Method for a Mixed Parabolic Problem in a Moving Domain , 2020, Journal of Scientific Computing.

[15]  Barry Lee,et al.  Finite elements and fast iterative solvers: with applications in incompressible fluid dynamics , 2006, Math. Comput..

[16]  Franco Dassi,et al.  Tetrahedral mesh improvement using moving mesh smoothing, lazy searching flips, and RBF surface reconstruction , 2017, Comput. Aided Des..

[17]  E. Keilegavlen,et al.  Flow in Fractured Porous Media: A Review of Conceptual Models and Discretization Approaches , 2018, Transport in Porous Media.

[18]  Nikolaj Gadegaard,et al.  30 years of microfluidics , 2019, Micro and Nano Engineering.

[19]  Randolph E. Bank,et al.  A posteriori error estimates for the Stokes problem , 1991 .

[20]  Daniele Boffi,et al.  The MINI mixed finite element for the Stokes problem: An experimental investigation , 2018, Comput. Math. Appl..

[21]  D. Gropper,et al.  Hydrodynamic lubrication of textured surfaces: A review of modeling techniques and key findings , 2016 .

[22]  Jonathan Richard Shewchuk,et al.  What is a Good Linear Element? Interpolation, Conditioning, and Quality Measures , 2002, IMR.

[23]  Alessandro Russo,et al.  A posteriori error estimators for the Stokes problem , 1995 .

[24]  Victor M. Calo,et al.  Performance evaluation of block-diagonal preconditioners for the divergence-conforming B-spline discretization of the Stokes system , 2015, J. Comput. Sci..

[25]  Freddie D. Witherden,et al.  On the identification of symmetric quadrature rules for finite element methods , 2014, Comput. Math. Appl..

[26]  F. Brezzi On the existence, uniqueness and approximation of saddle-point problems arising from lagrangian multipliers , 1974 .

[27]  Yan Gu,et al.  Generalized finite difference method for solving stationary 2D and 3D Stokes equations with a mixed boundary condition , 2020, Comput. Math. Appl..

[28]  I. Babuska The finite element method with Lagrangian multipliers , 1973 .

[29]  L. Fauci,et al.  A fully three-dimensional model of the interaction of driven elastic filaments in a Stokes flow with applications to sperm motility. , 2015, Journal of biomechanics.

[30]  Randolph E. Bank,et al.  A posteriori error estimates for the Stokes equations: a comparison , 1990 .

[31]  Per-Olof Persson,et al.  A Simple Mesh Generator in MATLAB , 2004, SIAM Rev..

[32]  M. Fortin,et al.  A stable finite element for the stokes equations , 1984 .