Partial Differential Equations - Modelling and ... - ResearchGate

Partial Differential Equations - Modelling and ... - ResearchGate Partial Differential Equations - Modelling and ... - ResearchGate

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184 B. Maury The source term g is, therefore, a single layer distribution supported by ∂O, with weight −λ · n = −∂u/∂n (where n is the outward normal to ∂O). Note that it is in H 1/2 (∂O). Remark 7. Note that letting ε go to 0 for any h>0 leads to an estimate for a fictitious domain method (à laGlowinski, i.e. based on the use of Lagrange multiplier). In [GG95], an error estimate is obtained for such a method; it relies on two independent meshes for the primal and dual components of the solution (conditionally to some compatibility conditions between the sizes of the two meshes). We recover this estimate in the situation where the local mesh is simply the restriction of the covering mesh to the obstacle (to the reduced obstacle O h , to be more precise). Remark 8. The approach we presented can be extended to other situations, like the one we already considered in Example 2, as soon as a H 1 -penalty is used. The functional to minimize is then J ε (v) = 1 ∫ ∫ |∇v| 2 − fv + 1 ∫ ( u 2 + |∇u| 2) , 2 2ε Ω Ω so that B identifies to the restriction operator from H 1 0 (Ω) toH 1 (O). The discrete inf-sup condition, as well as the approximation properties, are essentially the same as in the case we considered here. Concerning the original problem of simulating fluid-particle flows, an extra difficulty lies in the fact that two constraints of different types must be dealt with (global incompressibility and local rigid motion). It raises additional issues which shall be addressed in the future. Ω References [ABF99] Ph. Angot, Ch.-H. Bruneau, and P. Fabrie. A penalization method to take into account obstacles in incompressible viscous flows. Numer. Math., 81(4):497–520, 1999. [AR] Ph. Angot and I. Ramière. Convergence analysis of the Q1-finite element method for elliptic problems with non boundary-fitted meshes. Submitted. [Bab73] I. Babuška. The finite element method with penalty. Math. Comp., 27:221–228, 1973. [BF91] F. Brezzi and M. Fortin. Mixed and hybrid finite element methods, volume 15 of Springer Series in Computational Mathematics. Springer- Verlag, New York, 1991. [DP02] S. Del Pino. Une méthode d’éléments finis pour la résolution d’EDP dans des domaines décrits par géométrie constructive. PhD thesis, Université Pierre et Marie Curie, Paris, 2002. [DPP03] S. Del Pino and O. Pironneau. A fictitious domain based general PDE solver. In E. Heikkola, editor, Numerical Methods for Scientific Computing, Barcelona, 2003.

Numerical Analysis of a Finite Element/Volume Penalty Method 185 [ff3] [FFp] [GG95] [JLM05] [JT96] [lif] [Mau99] [Mau01] [PG02] [RAB06] [RPVC05] [SMSTT05] [VCLR04] freeFEM3D (http://www.freefem.org/ff3d/). freeFEM++ (http://www.freefem.org/). V. Girault and R. Glowinski. Error analysis of a fictitious domain method applied to a Dirichlet problem. Japan J. Indust. Appl. Math., 12(3):487–514, 1995. J. Janela, A. Lefebvre, and B. Maury. A penalty method for the simulation of fluid-rigid body interaction. In CEMRACS 2004—mathematics and applications to biology and medicine, volume 14 of ESAIM Proc., pages 115–123 (electronic). EDP Sci., Les Ulis, 2005. A. A. Johnson and T. E. Tezduyar. Simulation of multiple spheres falling in a liquid-filled tube. Comput. Methods Appl. Mech. Engrg., 134(3-4): 351–373, 1996. LifeV (http://www.lifev.org/). B. Maury. Direct simulations of 2D fluid-particle flows in biperiodic domains. J. Comput. Phys., 156(2):325–351, 1999. B. Maury. A fat boundary method for the Poisson problem in a domain with holes. J. Sci. Comput., 16(3):319–339, 2001. T.-W. Pan and R. Glowinski. Direct simulation of the motion of neutrally buoyant circular cylinders in plane Poiseuille flow. J. Comput. Phys., 181(1):260–279, 2002. I. Ramière, Ph. Angot, and M. Belliard. A fictitious domain approach with spread interface for elliptic problems with general boundary conditions. Comput. Methods App. Mech. Engrg., 196(4–6):766–781, 2007. T. N. Randrianarivelo, G. Pianet, S. Vincent, and J. P. Caltagirone. Numerical modelling of solid particle motion using a new penalty method. Internat. J. Numer. Methods Fluids, 47:1245–1251, 2005. J. San Martín, J.-F. Scheid, T. Takahashi, and M. Tucsnak. Convergence of the Lagrange-Galerkin method for the equations modelling the motion of a fluid-rigid system. SIAM J. Numer. Anal., 43(4):1536–1571 (electronic), 2005. S. Vincent, J.-P. Caltagirone, P. Lubin, and T. N. Randrianarivelo. An adaptative augmented Lagrangian method for three-dimensional multimaterial flows. Comput. & Fluids, 33(10):1273–1289, 2004.

184 B. Maury<br />

The source term g is, therefore, a single layer distribution supported by ∂O,<br />

with weight −λ · n = −∂u/∂n (where n is the outward normal to ∂O). Note<br />

that it is in H 1/2 (∂O).<br />

Remark 7. Note that letting ε go to 0 for any h>0 leads to an estimate for<br />

a fictitious domain method (à laGlowinski, i.e. based on the use of Lagrange<br />

multiplier). In [GG95], an error estimate is obtained for such a method; it<br />

relies on two independent meshes for the primal <strong>and</strong> dual components of the<br />

solution (conditionally to some compatibility conditions between the sizes of<br />

the two meshes). We recover this estimate in the situation where the local<br />

mesh is simply the restriction of the covering mesh to the obstacle (to the<br />

reduced obstacle O h , to be more precise).<br />

Remark 8. The approach we presented can be extended to other situations,<br />

like the one we already considered in Example 2, as soon as a H 1 -penalty is<br />

used. The functional to minimize is then<br />

J ε (v) = 1 ∫ ∫<br />

|∇v| 2 − fv + 1 ∫ (<br />

u 2 + |∇u| 2) ,<br />

2<br />

2ε<br />

Ω<br />

Ω<br />

so that B identifies to the restriction operator from H 1 0 (Ω) toH 1 (O). The discrete<br />

inf-sup condition, as well as the approximation properties, are essentially<br />

the same as in the case we considered here.<br />

Concerning the original problem of simulating fluid-particle flows, an extra<br />

difficulty lies in the fact that two constraints of different types must be dealt<br />

with (global incompressibility <strong>and</strong> local rigid motion). It raises additional<br />

issues which shall be addressed in the future.<br />

Ω<br />

References<br />

[ABF99] Ph. Angot, Ch.-H. Bruneau, <strong>and</strong> P. Fabrie. A penalization method<br />

to take into account obstacles in incompressible viscous flows. Numer.<br />

Math., 81(4):497–520, 1999.<br />

[AR] Ph. Angot <strong>and</strong> I. Ramière. Convergence analysis of the Q1-finite element<br />

method for elliptic problems with non boundary-fitted meshes.<br />

Submitted.<br />

[Bab73] I. Babuška. The finite element method with penalty. Math. Comp.,<br />

27:221–228, 1973.<br />

[BF91] F. Brezzi <strong>and</strong> M. Fortin. Mixed <strong>and</strong> hybrid finite element methods,<br />

volume 15 of Springer Series in Computational Mathematics. Springer-<br />

Verlag, New York, 1991.<br />

[DP02] S. Del Pino. Une méthode d’éléments finis pour la résolution d’EDP<br />

dans des domaines décrits par géométrie constructive. PhD thesis,<br />

Université Pierre et Marie Curie, Paris, 2002.<br />

[DPP03] S. Del Pino <strong>and</strong> O. Pironneau. A fictitious domain based general PDE<br />

solver. In E. Heikkola, editor, Numerical Methods for Scientific Computing,<br />

Barcelona, 2003.

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