On an Uzawa smoother in multigrid for poroelasticity equations

Summary A poroelastic saturated medium can be modeled by means of Biot's theory of consolidation. It describes the time-dependent interaction between the deformation of porous material and the fluid flow inside of it. Here, for the efficient solution of the poroelastic equations, a multigrid method is employed with an Uzawa-type iteration as the smoother. The Uzawa smoother is an equation-wise procedure. It shall be interpreted as a combination of the symmetric Gauss-Seidel smoothing for displacements, together with a Richardson iteration for the Schur complement in the pressure field. The Richardson iteration involves a relaxation parameter which affects the convergence speed, and has to be carefully determined. The analysis of the smoother is based on the framework of local Fourier analysis (LFA) and it allows us to provide an analytic bound of the smoothing factor of the Uzawa smoother as well as an optimal value of the relaxation parameter. Numerical experiments show that our upper bound provides a satisfactory estimate of the exact smoothing factor, and the selected relaxation parameter is optimal. In order to improve the convergence performance, the acceleration of multigrid by iterant recombination is taken into account. Numerical results confirm the efficiency and robustness of the acceleration scheme.

[1]  Cornelis W. Oosterlee,et al.  Local Fourier analysis for multigrid with overlapping smoothers applied to systems of PDEs , 2011, Numer. Linear Algebra Appl..

[2]  Justin W. L. Wan,et al.  Practical Fourier analysis for multigrid methods , 2007, Math. Comput..

[3]  Cornelis W. Oosterlee,et al.  A systematic comparison of coupled and distributive smoothing in multigrid for the poroelasticity system , 2004, Numer. Linear Algebra Appl..

[4]  L. Tham,et al.  Influence of Heterogeneity of Mechanical Properties on Hydraulic Fracturing in Permeable Rocks , 2004 .

[5]  F. Musy,et al.  A Fast Solver for the Stokes Equations Using Multigrid with a UZAWA Smoother , 1985 .

[6]  S. Vanka Block-implicit multigrid solution of Navier-Stokes equations in primitive variables , 1986 .

[7]  M. Biot General Theory of Three‐Dimensional Consolidation , 1941 .

[8]  Cornelis W. Oosterlee,et al.  KRYLOV SUBSPACE ACCELERATION FOR NONLINEAR MULTIGRID SCHEMES , 1997 .

[9]  D. Brandt,et al.  Multi-level adaptive solutions to boundary-value problems math comptr , 1977 .

[10]  Long Chen INTRODUCTION TO MULTIGRID METHODS , 2005 .

[11]  A. Brandt Rigorous quantitative analysis of multigrid, I: constant coefficients two-level cycle with L 2 -norm , 1994 .

[12]  Leslie George Tham,et al.  Numerical studies of the influence of microstructure on rock failure in uniaxial compression — Part I: effect of heterogeneity , 2000 .

[13]  Jose L. Gracia,et al.  Distributive smoothers in multigrid for problems with dominating grad–div operators , 2008, Numer. Linear Algebra Appl..

[14]  Cornelis W. Oosterlee,et al.  A stabilized difference scheme for deformable porous media and its numerical resolution by multigrid methods , 2008 .

[15]  Barbara Kaltenbacher,et al.  Iterative Solution Methods , 2015, Handbook of Mathematical Methods in Imaging.

[16]  Cornelis W. Oosterlee,et al.  Multigrid relaxation methods for systems of saddle point type , 2008 .

[17]  Mohamed M. S. Nasser Numerical Conformal Mapping via a Boundary Integral Equation with the Generalized Neumann Kernel , 2009, SIAM J. Sci. Comput..

[18]  Yvan Notay,et al.  A Simple and Efficient Segregated Smoother for the Discrete Stokes Equations , 2014, SIAM J. Sci. Comput..

[19]  M. Biot THEORY OF ELASTICITY AND CONSOLIDATION FOR A POROUS ANISOTROPIC SOLID , 1955 .