Abstract
We introduce and analyze a multiscale finite element type method (MsFEM) in the vein of the classical Crouzeix-Raviart finite element method that is specifically adapted for highly oscillatory elliptic problems. We illustrate numerically the efficiency of the approach and compare it with several variants of MsFEM.
The work of the first two authors is partially supported by ONR under Grant (No. N00014-12-1-0383) and EOARD under Grant (No. FA8655-10-C-4002).
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References
Aarnes, J.: On the use of a mixed multiscale finite element method for greater flexibility and increased speed or improved accuracy in reservoir simulation. Multiscale Model. Simul. 2(3), 421–439 (2004)
Aarnes, J., Heimsund, B.O.: Multiscale discontinuous Galerkin methods for elliptic problems with multiple scales. In: Engquist, B., Lötstedt, P., Runborg, O. (eds.) Multiscale Methods in Science and Engineering. Lecture Notes in Computational Science and Engineering, vol. 44, pp. 1–20. Springer, Berlin (2005)
Abdulle, A.: Multiscale method based on discontinuous Galerkin methods for homogenization problems. C. R. Math. Acad. Sci. Paris 346(1–2), 97–102 (2008)
Abdulle, A.: Discontinuous Galerkin finite element heterogeneous multiscale method for elliptic problems with multiple scales. Math. Comput. 81(278), 687–713 (2012)
Arbogast, T.: Implementation of a locally conservative numerical subgrid upscaling scheme for two-phase Darcy flow. Comput. Geosci. 6(3–4), 453–481 (2002)
Arbogast, T.: Mixed multiscale methods for heterogeneous elliptic problems. In: Graham, I.G., Hou, T.Y., Lakkis, O., Scheichl, R. (eds.) Numerical Analysis of Multiscale Problems. Lecture Notes in Computational Science and Engineering, vol. 83, pp. 243–283. Springer, Berlin (2011)
Arbogast, T., Boyd, K.J.: Subgrid upscaling and mixed multiscale finite elements. SIAM J. Numer. Anal. 44(3), 1150–1171 (2006)
Bensoussan, A., Lions, J.L., Papanicolaou, G.: Asymptotic analysis for periodic structures. Studies in Mathematics and Its Applications, vol. 5. North-Holland, Amsterdam (1978)
Bergh, J., Löfström, J.: Interpolation Spaces. An Introduction. Grundlehren der Mathematischen Wissenschaften, vol. 223. Springer, Berlin (1976)
Brenner, S.C., Scott, L.R.: The Mathematical Theory of Finite Element Methods, 3rd edn. Springer, New York (2008)
Chen, Z., Cui, M., Savchuk, T.Y.: The multiscale finite element method with nonconforming elements for elliptic homogenization problems. Multiscale Model. Simul. 7(2), 517–538 (2008)
Chen, Z., Hou, T.Y.: A mixed multiscale finite element method for elliptic problems with oscillating coefficients. Math. Comput. 72(242), 541–576 (2003)
Cioranescu, D., Donato, P.: An Introduction to Homogenization. Oxford Lecture Series in Mathematics and Its Applications, vol. 17. Clarendon, Oxford (1999)
Crouzeix, M., Raviart, P.A.: Conforming and nonconforming finite element methods for solving the stationary Stokes equations. I. RAIRO. Anal. Numér. 7(3), 33–75 (1973)
Efendiev, Y., Hou, T.Y.: Multiscale Finite Element Method: Theory and Applications. Surveys and Tutorials in the Applied Mathematical Sciences, vol. 4. Springer, New York (2009)
Efendiev, Y.R., Hou, T.Y., Wu, X.H.: Convergence of a nonconforming multiscale finite element method. SIAM J. Numer. Anal. 37(3), 888–910 (2000)
Engquist, B., Souganidis, P.: Asymptotic and Numerical Homogenization. Acta Numerica, vol. 17. Cambridge University Press, Cambridge (2008)
Ern, A., Guermond, J.L.: Theory and Practice of Finite Elements. Applied Mathematical Sciences, vol. 159. Springer, Berlin (2004)
Gilbarg, D., Trudinger, N.S.: Elliptic Partial Differential Equations of Second Order. Classics in Mathematics. Springer, Berlin (2001)
Gloria, A.: An analytical framework for numerical homogenization. Part II: Windowing and oversampling. Multiscale Model. Simul. 7(1), 274–293 (2008)
Hou, T.Y., Wu, X.H.: A multiscale finite element method for elliptic problems in composite materials and porous media. J. Comput. Phys. 134(1), 169–189 (1997)
Hou, T.Y., Wu, X.H., Cai, Z.: Convergence of a multiscale finite element method for elliptic problems with rapidly oscillating coefficients. Math. Comput. 68(227), 913–943 (1999)
Hou, T.Y., Wu, X.H., Zhang, Y.: Removing the cell resonance error in the multiscale finite element method via a Petrov-Galerkin formulation. Commun. Math. Sci. 2(2), 185–205 (2004)
Jikov, V.V., Kozlov, S.M., Oleinik, O.A.: Homogenization of Differential Operators and Integral Functionals. Springer, Berlin (1994)
Le Bris, C., Legoll, F., Lozinski, A.: A MsFEM type approach for perforated domains. (2013, in preparation)
Le Bris, C., Legoll, F., Thomines, F.: Multiscale Finite Element approach for “weakly” random problems and related issues. arXiv:1111.1524 [math.NA]
Malqvist, A., Peterseim, D.: Localization of elliptic multiscale problems. arXiv:1110.0692 [math.NA]
Owhadi, H., Zhang, L.: Localized bases for finite dimensional homogenization approximations with non-separated scales and high-contrast. Multiscale Model. Simul. 9, 1373–1398 (2011)
Rannacher, R., Turek, S.: Simple nonconforming quadrilateral Stokes element. Numer. Methods Partial Differ. Equ. 8, 97–111 (1982)
Acknowledgements
The third author acknowledges the hospitality of INRIA. We thank William Minvielle for his remarks on a preliminary version of this article.
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Le Bris, C., Legoll, F., Lozinski, A. (2014). MsFEM à la Crouzeix-Raviart for Highly Oscillatory Elliptic Problems. In: Ciarlet, P., Li, T., Maday, Y. (eds) Partial Differential Equations: Theory, Control and Approximation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41401-5_11
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DOI: https://doi.org/10.1007/978-3-642-41401-5_11
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