Hannukainen, Antti; Mourrat, Jean-Christophe; Stoppels, Harmen T. Computing homogenized coefficients via multiscale representation and hierarchical hybrid grids. (English) Zbl 1481.65255 ESAIM, Math. Model. Numer. Anal. 55, Suppl., 149-185 (2021). Summary: We present an efficient method for the computation of homogenized coefficients of divergence-form operators with random coefficients. The approach is based on a multiscale representation of the homogenized coefficients. We then implement the method numerically using a finite-element method with hierarchical hybrid grids, which is a semi-implicit method allowing for significant gains in memory usage and execution time. Finally, we demonstrate the efficiency of our approach on two- and three-dimensional examples, for piecewise-constant coefficients with corner discontinuities. For moderate ellipticity contrast and for a precision of a few percentage points Wikipedia Wolfram MathWorld , our method allows to compute the homogenized coefficients on a laptop computer in a few seconds, in two dimensions, or in a few minutes, in three dimensions. Cited in 2 Documents MSC: 65N55 Multigrid methods; domain decomposition for boundary value problems involving PDEs 65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs 35B27 Homogenization in context of PDEs; PDEs in media with periodic structure Keywords:homogenization; multiscale method; hierarchical hybrid grids × Cite Format Result Cite Review PDF Full Text: DOI arXiv References: [1] A. Abdulle, D. Arjmand and E. Paganoni, Exponential decay of the resonance error in numerical homogenization via parabolic and elliptic cell problems. C. R. Math. Acad. Sci. Paris 357 (2019) 545-551. · Zbl 1422.65362 [2] M.A. Akcoglu and U. Krengel, Ergodic theorems for superadditive processes. J. Reine Angew. Math. 323 (1981) 53-67. · Zbl 0453.60039 [3] Y. Almog, Averaging of dilute random media: a rigorous proof of the Clausius-Mossotti formula. Arch. Ration. Mech. Anal. 207 (2013) 785-812. · Zbl 1277.78027 [4] Y. Almog, The Clausius-Mossotti formula in a dilute random medium with fixed volume fraction. Multiscale Model. Simul. 12 (2014) 1777-1799. · Zbl 1326.74111 [5] Y. Almog, The Clausius-Mossotti formula for dilute random media of perfectly conducting inclusions. SIAM J. Math. Anal. 49 (2017) 2885-2919. · Zbl 1368.74047 [6] A. Anantharaman and C. Le Bris, A numerical approach related to defect-type theories for some weakly random problems in homogenization. Multiscale Model. Simul. 9 (2011) 513-544. · Zbl 1233.35014 [7] A. Anantharaman and C. Le Bris, Elements of mathematical foundations for numerical approaches for weakly random homogenization problems. Commun. Comput. Phys. 11 (2012) 1103-1143. · Zbl 1373.35027 [8] S. Armstrong and P. Dario, Elliptic regularity and quantitative homogenization on percolation clusters. Commun. Pure Appl. Math. 71 (2018) 1717-1849. · Zbl 1419.82024 [9] S.N. Armstrong and J.-C. Mourrat, Lipschitz regularity for elliptic equations with random coefficients. Arch. Ration. Mech. Anal. 219 (2016) 255-348. · Zbl 1344.35048 [10] S.N. Armstrong and C.K. Smart, Quantitative stochastic homogenization of convex integral functionals. Ann. Sci. Éc. Norm. Supér. (4) 49 (2016) 423-481. · Zbl 1344.49014 [11] S. Armstrong, T. Kuusi and J.-C. Mourrat, Mesoscopic higher regularity and subadditivity in elliptic homogenization. Commun. Math. Phys. 347 (2016) 315-361. · Zbl 1357.35025 [12] S. Armstrong, T. Kuusi and J.-C. Mourrat, The additive structure of elliptic homogenization. Invent. Math. 208 (2017) 999-1154. · Zbl 1377.35014 [13] S. Armstrong, T. Kuusi and J.-C. Mourrat, Quantitative Stochastic Homogenization and Large-Scale Regularity. In: Vol. 352 of Grundlehren der mathematischen Wissenschaften, Springer Nature (2019). · Zbl 1482.60001 [14] B.K. Bergen and F. Hülsemann, Hierarchical hybrid grids: data structures and core algorithms for multigrid. Numer. Linear Algebra App. 11 (2004) 279-291. · Zbl 1164.65517 [15] B. Bergen, F. Hülsemann and U. Rüde, Is 1.7 × 10^10 unknowns the largest finite element system that can be solved today? In: SC’05: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing. IEEE (2005). [16] L. Berlyand and V. Mityushev, Generalized Clausius-Mossotti formula for random composite with circular fibers. J. Stat. Phys. 102 (2001) 115-145. · Zbl 1072.82586 [17] J. Bey, Tetrahedral grid refinement. Computing 55 (1995) 355-378. · Zbl 0839.65135 [18] X. Blanc and C. Le Bris, Improving on computation of homogenized coefficients in the periodic and quasi-periodic settings. Netw. Heterogen. Media 5 (2010) 1-29. · Zbl 1262.65115 [19] X. Blanc, C. Le Bris and, F. Legoll, Some variance reduction methods for numerical stochastic homogenization. Philos. Trans. R. Soc. A 374 (2016) 15. · Zbl 1353.82006 [20] S.C. Brenner and L.R. Scott, The mathematical theory of finite element methods, 3rd edition. In: Vol. 15 of Texts in Applied Mathematics. Springer, New York (2008). · Zbl 1135.65042 [21] E. Cancès, V. Ehrlacher, F. Legoll, B. Stamm and S. Xiang, An embedded corrector problem for homogenization. Part II: algorithms and discretization. J. Comput. Phys. 407 (2020) 109254,26. · Zbl 1446.35015 [22] E. Cancès, V. Ehrlacher, F. Legoll, B. Stamm and S. Xiang, An embedded corrector problem for homogenization. Part I: theory. Preprint arXiv:1807.05131 (2018). · Zbl 1446.35015 [23] P. Dario, Optimal corrector estimates on percolation clusters. Preprint arXiv:1805.00902 (2020). [24] M. Duerinckx and A. Gloria, Analyticity of homogenized coefficients under Bernoulli perturbations and the Clausius-Mossotti formulas. Arch. Ration. Mech. Anal. 220 (2016) 297-361. · Zbl 1339.35023 [25] Y. Efendiev and T.Y. Hou, Multiscale finite element methods. In: Vol. 4 of Surveys and Tutorials in the Applied Mathematical Sciences. Springer, New York (2009). · Zbl 1163.65080 [26] A.-C. Egloffe, A. Gloria, J.-C. Mourrat and T.N. Nguyen, Random walk in random environment, corrector equation and homogenized coefficients: from theory to numerics, back and forth. IMA J. Numer. Anal. 35 (2015) 499-545. · Zbl 1315.60116 [27] J. Fischer, The choice of representative volumes in the approximation of effective properties of random materials. Arch. Ration. Mech. Anal. 234 (2019) 635-726. · Zbl 1431.65201 [28] A. Gholami, D. Malhotra, H. Sundar and G. Biros, FFT, FMM, or multigrid? A comparative study of state-of-the-art Poisson solvers for uniform and nonuniform grids in the unit cube. SIAM J. Sci. Comput. 38 (2016) C280-C306. · Zbl 1369.65138 [29] A. Gloria, Numerical approximation of effective coefficients in stochastic homogenization of discrete elliptic equations. ESAIM: M2AN 46 (2012) 1-38. · Zbl 1282.35038 [30] A. Gloria and Z. Habibi, Reduction in the resonance error in numerical homogenization II: correctors and extrapolation. Found. Comput. Math. 16 (2016) 217-296. · Zbl 1335.65086 [31] A. Gloria and J.-C. Mourrat, Spectral measure and approximation of homogenized coefficients. Probab. Theory Relat. Fields 154 (2012) 287-326. · Zbl 1264.35021 [32] A. Gloria and F. Otto, An optimal variance estimate in stochastic homogenization of discrete elliptic equations. Ann. Probab. 39 (2011) 779-856. · Zbl 1215.35025 [33] A. Gloria and F. Otto, An optimal error estimate in stochastic homogenization of discrete elliptic equations. Ann. Appl. Probab. 22 (2012) 1-28. · Zbl 1387.35031 [34] A. Gloria and F. Otto, Quantitative results on the corrector equation in stochastic homogenization. J. Eur. Math. Soc. (JEMS) 19 (2017) 3489-3548. · Zbl 1387.35032 [35] A. Gloria and F. Otto, The corrector in stochastic homogenization: optimal rates, stochastic integrability, and fluctuations. Preprint arXiv:1510.08290 (2016). [36] A. Gloria, S. Neukamm and F. Otto, Quantification of ergodicity in stochastic homogenization: optimal bounds via spectral gap on Glauber dynamics. Invent. Math. 199 (2015) 455-515. · Zbl 1314.39020 [37] A. Gloria, S. Neukamm and F. Otto, A regularity theory for random elliptic operators. Preprint arXiv:1409.2678 (2019). · Zbl 1440.35064 [38] T. Gradl and U. Rüde, High performance multigrid on current large scale parallel computers. In: 9th Workshop on Parallel Systems and Algorithms (2008). [39] A. Hannukainen, J.-C. Mourrat and H. Stoppels, Homogenization.jl tutorial. Available from: https://haampie.github.io/Homogenization.jl/dev/ (2020). [40] T.Y. Hou and X.-H. Wu, A multiscale finite element method for elliptic problems in composite materials and porous media. J. Comput. Phys. 134 (1997) 169-189. · Zbl 0880.73065 [41] T.Y. Hou, X.-H. Wu and Z. Cai, Convergence of a multiscale finite element method for elliptic problems with rapidly oscillating coefficients. Math. Comput. 68 (1999) 913-943. · Zbl 0922.65071 [42] V. Khoromskaia, B.N. Khoromskij and F. Otto, Numerical study in stochastic homogenization for elliptic PDEs: convergence rate in the size of representative volume elements. Preprint arXiv:1903.12227 (2019). · Zbl 1538.65110 [43] S.M. Kozlov, Geometric aspects of averaging. Uspekhi Mat. Nauk 44 (1989) 79-120. · Zbl 0706.49029 [44] C. Le Bris and F. Legoll, Examples of computational approaches for elliptic, possibly multiscale PDEs with random inputs. J. Comput. Phys. 328 (2017) 455-473. · Zbl 1406.35496 [45] C. Le Bris, F. Legoll and W. Minvielle, Special quasirandom structures: a selection approach for stochastic homogenization. Monte Carlo Methods App. 22 (2016) 25-54. · Zbl 1334.35450 [46] D. Marahrens and F. Otto, Annealed estimates on the Green function. Probab. Theory Relat. Fields 163 (2015) 527-573. · Zbl 1342.60101 [47] J.C. Maxwell, Medium in which small spheres are uniformly disseminated, 3rd edition. In: A Treatise on Electricity and Magnetism, part II, chapter IX. Clarendon Press (1891) 314. [48] N.G. Meyers, An L^p-estimate for the gradient of solutions of second order elliptic divergence equations. Ann. Scuola Norm. Sup. Pisa 17 (1963) 189-206. · Zbl 0127.31904 [49] J.-C. Mourrat, Variance decay for functionals of the environment viewed by the particle. Ann. Inst. Henri Poincaré Probab. Stat. 47 (2011) 294-327. · Zbl 1213.60163 [50] J.-C. Mourrat, First-order expansion of homogenized coefficients under Bernoulli perturbations. J. Math. Pures Appl. 103 (2015) 68-101. · Zbl 1304.35066 [51] J.-C. Mourrat, Efficient methods for the estimation of homogenized coefficients. Found. Comput. Math. 19 (2019) 435-483. · Zbl 1411.82021 [52] J.-C. Mourrat, An informal introduction to quantitative stochastic homogenization. J. Math. Phys. 60 (2019) 11. · Zbl 1447.58034 [53] A. Naddaf and T. Spencer, On homogenization and scaling limit of some gradient perturbations of a massless free field. Commun. Math. Phys. 183 (1997) 55-84. · Zbl 0871.35010 [54] A. Naddaf and T. Spencer, Estimates on the variance of some homogenization problems (1998). · Zbl 0871.35010 [55] G.C. Papanicolaou, Diffusion in random media. In: Vol. 1 of Surveys in Applied Mathematics. Plenum, New York (1995) 205-253. · Zbl 0846.60081 [56] L.C. Piccinini and S. Spagnolo, On the Hölder continuity of solutions of second order elliptic equations in two variables. Ann. Scuola Norm. Sup. Pisa 26 (1972) 391-402. · Zbl 0237.35028 [57] J.W. Strutt, 3d Baron Rayleigh, On the influence of obstacles arranged in rectangular order upon the properties of a medium. Philos. Mag. 34 (1892) 481-502. · JFM 24.1015.02 [58] S.-H. Wei, L. Ferreira, J.E. Bernard and A. Zunger, Electronic properties of random alloys: special quasirandom structures. Phys. Rev. B 42 (1990) 9622. [59] X. Yue and E. Weinan, The local microscale problem in the multiscale modeling of strongly heterogeneous media: effects of boundary conditions and cell size. J. Comput. Phys. 222 (2007) 556-572. · Zbl 1158.74541 [60] A. Zunger, S.-H. Wei, L. Ferreira and J.E. Bernard, Special quasirandom structures. Phys. Rev. Lett. 65 (1990) 353. · doi:10.1103/PhysRevLett.65.353 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.