A multiscale numerical method is proposed for the solution of semi-linear elliptic stochastic partial differential equations with localized uncertainties and non-linearities, the uncertainties being modeled by a set of random parameters. It relies on a domain decomposition method which introduces several subdomains of interest (called patches) containing the different sources of uncertainties and non-linearities. An iterative algorithm is then introduced, which requires the solution of a sequence of linear global problems (with deterministic operators and uncertain right-hand sides), and non-linear local problems (with uncertain operators and/or right-hand sides) over the patches. Non-linear local problems are solved using an adaptive sampling-based least-squares method for the construction of sparse polynomial approximations of local solutions as functions of the random parameters. Consistency, convergence and robustness of the algorithm are proved under general assumptions on the semi-linear elliptic operator. A convergence acceleration technique (Aitken’s dynamic relaxation) is also introduced to speed up the convergence of the algorithm. The performances of the proposed method are illustrated through numerical experiments carried out on a stationary non-linear diffusion-reaction problem.
Accepté le :
DOI : 10.1051/m2an/2018025
Mots-clés : Uncertainty quantification, non-linear elliptic stochastic partial differential equation, multiscale, domain decomposition, sparse approximation
@article{M2AN_2018__52_5_1763_0, author = {Nouy, Anthony and Pled, Florent}, title = {A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {1763--1802}, publisher = {EDP-Sciences}, volume = {52}, number = {5}, year = {2018}, doi = {10.1051/m2an/2018025}, zbl = {1479.35971}, mrnumber = {3878605}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/m2an/2018025/} }
TY - JOUR AU - Nouy, Anthony AU - Pled, Florent TI - A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2018 SP - 1763 EP - 1802 VL - 52 IS - 5 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/m2an/2018025/ DO - 10.1051/m2an/2018025 LA - en ID - M2AN_2018__52_5_1763_0 ER -
%0 Journal Article %A Nouy, Anthony %A Pled, Florent %T A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2018 %P 1763-1802 %V 52 %N 5 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/m2an/2018025/ %R 10.1051/m2an/2018025 %G en %F M2AN_2018__52_5_1763_0
Nouy, Anthony; Pled, Florent. A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 52 (2018) no. 5, pp. 1763-1802. doi : 10.1051/m2an/2018025. http://archive.numdam.org/articles/10.1051/m2an/2018025/
[1] Non-intrusive coupling: an attempt to merge industrial and research software capabilities, in Chapter 15 of Recent Developments and Innovative Applications in Computational Mechanics, edited by , and . Springer, Berlin, Heidelberg (2011) 125–133. | DOI
, , and ,[2] Nonlinear Diffusion in Population Genetics, Combustion, and Nerve Pulse Propagation. Springer Berlin Heidelberg, Berlin, Heidelberg (1975) 5–49. | MR | Zbl
and ,[3] A stochastic variational multiscale method for diffusion in heterogeneous random media. J. Comput. Phys. 218 (2006) 654–676. | DOI | MR | Zbl
and ,[4] Theoretical Numerical Analysis: A Functional Analysis Framework, Vol. 39. Springer (2009). | MR | Zbl
and ,[5] An inverse matrix adjustment arising in discriminant analysis. Ann. Math. Stat. 22 (1951) 107–111. | DOI | MR | Zbl
,[6] Hypothetical mechanism of speciation. Evolution 23 (1969) 685–687.
,[7] Elastic crack growth in finite elements with minimal remeshing. Int. J. Numer. Methods Eng. 45 (1999) 601–620. | DOI | Zbl
and ,[8] The mortar finite element method with Lagrange multipliers. Numer. Math. 84 (1999) 173–197. | DOI | MR | Zbl
[9] Adaptive sparse polynomial chaos expansion based on least angle regression. J. Comput. Phys. 230 (2011) 2345–2367. | DOI | MR | Zbl
and ,[10] A robust cubic reaction-diffusion system for gene propagation. Math. Comput. Model. 39 (2004) 1151–1163. | DOI | MR | Zbl
and ,[11] Analysis of a Chimera method. C. R. Acad. Sci. Ser. I – Math. 332 (2001) 655–660. | MR | Zbl
, and ,[12] A fictitious domain approach to the numerical solution of PDEs in stochastic domains. Numer. Math. 107 (2007) 257. | DOI | MR | Zbl
and ,[13] Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Netw. 17 (2004) 1467–1475. | DOI | Zbl
and ,[14] A stochastic coupling method for atomic-to-continuum Monte-Carlo simulations. Comput. Methods Appl. Mech. Eng. 197 (2008) 3530–3546. | DOI | MR | Zbl
, and ,[15] Model selection for small sample regression. Mach. Learn. 48 (2002) 9–23. | DOI | Zbl
, and ,[16] A multiscale method with patch for the solution of stochastic partial differential equationswith localized uncertainties. Comput. Methods Appl. Mech. Eng. 255 (2013) 255–274. | DOI | MR | Zbl
, and ,[17] Sparse adaptive Taylor approximation algorithms for parametric and stochastic elliptic PDEs. ESAIM: M2AN 47 (2013) 253–280. | DOI | Numdam | MR | Zbl
, , and ,[18] Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDEs. ESAIM: M2AN 49 (2015) 815–837. | DOI | Numdam | MR | Zbl
, , , and ,[19] A stochastic-deterministic coupling method for continuum mechanics. Comput. Methods Appl. Mech. Eng. 200 (2011) 3280–3288. | DOI | MR | Zbl
, , and ,[20] Problèmes mécaniques multi-échelles: la méthode Arlequin – multiscale mechanical problems: the Arlequin method. C. R. Acad. Sci. Ser. IIB – Mech.-Phys.-Astron. 326 (1998) 899–904. | Zbl
,[21] Multiscale finite element methods for stochastic porous media flow equations and application to uncertainty quantification. Comput. Methods Appl. Mech. Eng. 197 (2008) 3445–3455. | DOI | MR | Zbl
, and ,[22] Non-intrusive coupling: recent advances and scalable nonlinear domain decomposition. Arch. Comput. Methods Eng. 23 (2016) 17–38. | DOI | MR | Zbl
, , and ,[23] Poiseuille advection of chemical reaction fronts. Phys. Rev. Lett. 89 (2002) 104501. | DOI
,[24] Multiscale Finite Element Methods: Theory and Applications. Vol. 4 of Surveys and Tutorials in the Applied Mathematical Sciences. Springer-Verlag, New York (2009). | MR | Zbl
and ,[25] Multiscale finite element methods for nonlinear problems and their applications. Commun. Math. Sci. 2 (2004) 553–589. | DOI | MR | Zbl
, and ,[26] Modeling diffusion in random heterogeneous media: data-driven models, stochastic collocation and the variational multiscale method. J. Comput. Phys. 226 (2007) 326–353. | DOI | MR | Zbl
and ,[27] A stochastic multiscale framework for modeling flow through random heterogeneous porous media. J. Comput. Phys. 228 (2009) 591–618. | DOI | MR | Zbl
and ,[28] A stochastic mortar mixed finite element method for flow in porous media with multiple rock types. SIAM J. Sci. Comput. 33 (2011) 1439–1474. | DOI | MR | Zbl
, and ,[29] Non-intrusive and exact global/local techniques for structural problems with local plasticity. Comput. Mech. 44 (2009) 233–245. | DOI | MR | Zbl
, , and ,[30] A two-scale approximation of the Schur complement and its use for non-intrusive coupling. Int. J. Numer. Methods Eng. 87 (2011) 889–905. | DOI | MR | Zbl
, and ,[31] A novel method for solving multiscale elliptic problems with randomly perturbed data. Multiscale Model. Simul. 8 (2010) 977–996. | DOI | MR | Zbl
, and ,[32] To be or not to be intrusive? The solution of parametric and stochastic equations—the “Plain Vanilla” Galerkin case. SIAM J. Sci. Comput. 36 (2014) A2720–A2744. | DOI | MR | Zbl
, , , and ,[33] To be or not to be intrusive? The solution of parametric and stochastic equations—proper generalized decomposition. SIAM J. Sci. Comput. 37 (2015) A347–A368. | DOI | MR | Zbl
, , and ,[34] Finite element approximation of multi-scale elliptic problems using patches of elements. Numer. Math. 101 (2005) 663–687. | DOI | MR | Zbl
, , , and ,[35] A local multi-grid X-FEM approach for 3D fatigue crack growth. Int. J. Mater. Form. 1 (2008) 1103–1106. | DOI
, and ,[36] Solving dynamic contact problems with local refinement in space and time. Comput. Methods Appl. Mech. Eng. 201–204 (2012) 25–41. | DOI | MR | Zbl
, , and ,[37] Detailed studies of propagating fronts in the iodate oxidation of arsenous acid. J. Am. Chem. Soc. 104 (1982) 3838–3844. | DOI
, and ,[38] Accelerating the method of finite element patches using approximately harmonic functions. C. R. Math. 345 (2007) 107–112. | DOI | MR | Zbl
, and ,[39] Error control and adaptivity for heterogeneous multiscale approximations of nonlinear monotone problems. Discrete Contin. Dyn. Syst. – Ser. S 8 (2015) 119–150. | MR | Zbl
and ,[40] A localized orthogonal decomposition method for semi-linear elliptic problems. ESAIM: M2AN 48 (2014) 1331–1349. | DOI | Numdam | MR | Zbl
, and ,[41] A multiscale finite element method for elliptic problems in composite materials and porous media. J. Comput. Phys. 134 (1997) 169–189. | DOI | MR | Zbl
and ,[42] Pattern formation and evolution near autocatalytic reaction fronts in a narrow vertical slab. Phys. Rev. E 54 (1996) 2620–2627. | DOI
and ,[43] The variational multiscale method—a paradigm for computational mechanics. Comput. Methods Appl. Mech. Eng. 166 (1998) 3–24, Advances in Stabilized Methods in Computational Mechanics. | DOI | MR | Zbl
, , and ,[44] A version of the Aitken accelerator for computer iteration. Int. J. Numer. Methods Eng. 1 (1969) 275–277. | DOI | Zbl
and ,[45] Parallel domain decomposition methods for stochastic elliptic equations. SIAM J. Sci. Comput. 29 (2007) 2096–2114. | DOI | MR | Zbl
, and ,[46] Propagation of excitation pulses and autocatalytic fronts in packed-bed reactors. J. Phys. Chem. B 106 (2002) 3751–3758. | DOI
and ,[47] Multiplier spaces for the mortar finite element method in three dimensions. SIAM J. Numer. Anal. 39 (2001) 519–538. | DOI | MR | Zbl
, , and ,[48] Advection of chemical reaction fronts in a porous medium. J. Phys. Chem. B 112 (2008) 1170–1176. | DOI
, and ,[49] Fixed-point fluid–structure interaction solvers with dynamic relaxation. Comput. Mech. 43 (2008) 61–72. | DOI | Zbl
and ,[50] Pattern of reaction diffusion fronts in laminar flows. Phys. Rev. Lett. 90 (2003) 128302. | DOI
, , and ,[51] Multiscale finite element approach for “weakly” random problems and related issues. ESAIM: M2AN 48 (2014) 815–858. | DOI | Numdam | MR | Zbl
, and ,[52] Spectral Methods for Uncertainty Quantification With Applications to Computational Fluid Dynamics. Springer, Netherlands (2010). | DOI | MR | Zbl
and ,[53] Domain decomposition methods for CAD. C. R. Acad. Sci. Ser. I – Math. 328 (1999) 73–80. | MR | Zbl
and ,[54] A non-intrusive global/local algorithm with non-matching interface: derivation and numerical validation. Comput. Methods Appl. Mech. Eng. 277 (2014) 81–103. | DOI
, and ,[55] Méthodes numériques et modélisation pour certains problèmes multi-échelles. Habilitation à diriger des recherches, Université Paul Sabatier, Toulouse 3, France (2010).
,[56] Acceleration of vector sequences by multi-dimensional ∆2 methods. Commun. Appl. Numer. Methods 2 (1986) 385–392. | DOI | Zbl
,[57] Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations. Comput. Methods Appl. Mech. Eng. 194 (2005) 1295–1331. | DOI | MR | Zbl
and ,[58] A finite element method for crack growth without remeshing. Int. J. Numer. Methods Eng. 46 (1999) 131–150. | DOI | MR | Zbl
, and ,[59] Variational multiscale stabilized FEM formulations for transport equations: stochastic advection–diffusion and incompressible stochastic Navier–Stokes equations. J. Comput. Phys. 202 (2005) 94–133. | DOI | MR | Zbl
and ,[60] Variational and Heterogeneous Multiscale Methods. Springer Berlin Heidelberg, Berlin, Heidelberg (2010) 713–720. | Zbl
,[61] Recent developments in spectral stochastic methods for the numerical solution of stochastic partial differential equations. Arch. Comput. Methods Eng. 16 (2009) 251–285. | DOI | MR | Zbl
,[62] An extended stochastic finite element method for solving stochastic partial differential equations on random domains. Comput. Methods Appl. Mech. Eng. 197 (2008) 4663–4682. | DOI | MR | Zbl
, , and ,[63] Fictitious domain method and separated representations for the solution of boundary value problems on uncertain parameterized domains. Comput. Methods Appl. Mech. Eng. 200 (2011) 3066–3082. | DOI | MR | Zbl
, and ,[64] Direct estimation of generalized stress intensity factors using a three-scale concurrent multigrid X-FEM. Int. J. Numer. Methods Eng. 85 (2011) 1648–1666. | DOI | MR | Zbl
, , and ,[65] Local/global non-intrusive crack propagation simulation using a multigrid X-FEM solver. Comput. Mech. 52 (2013) 1381–1393. | DOI
, , and ,[66] Numerical zoom for multiscale problems with an application to flows through porous media. Discrete Contin. Dyn. Syst. A 23 (2009) 265–280. | MR | Zbl
, , and ,[67] A local multigrid X-FEM strategy for 3-D crack propagation. Int. J. Numer. Methods Eng. 77 (2009) 581–600. | DOI | MR | Zbl
, and ,[68] Nonlinear Partial Differential Equations With Applications, Vol. 153. Springer (2005). | MR | Zbl
,[69] Phase diagram of sustained wave fronts opposing the flow in disordered porous media. EPL (Europhys. Lett.) 101 (2013) 38003. | DOI
, , and ,[70] Domain decomposition of stochastic PDEs: theoretical formulations. Int. J. Numer. Methods Eng. 77 (2009) 689–701. | DOI | MR | Zbl
, and ,[71] Poiseuille advection of chemical reaction fronts: eikonal approximation. J. Chem. Phys. 118 (2003) 5911–5915. | DOI
and ,[72] A Chimera grid scheme, in Advances in Grid Generation, Vol. 5, edited by and . American Society of Mechanical Engineers, FED, New York (1983) 59–69.
, and ,[73] Coupled model- and solution-adaptivity in the finite-element method. Comput. Methods Appl. Mech. Eng. 150 (1997) 327–350. | DOI | MR | Zbl
and ,[74] The design and analysis of the Generalized Finite Element Method. Comput. Methods Appl. Mech. Eng. 181 (2000) 43–69. | DOI | MR | Zbl
, and ,[75] Global sensitivity analysis using polynomial chaos expansions. Reliab. Eng. Syst. Saf. 93 (2008) 964–979. | DOI
,[76] Stochastic analysis of transport in tubes with rough walls. J. Comput. Phys. 217 (2006) 248–259, Uncertainty Quantification in Simulation Science. | DOI | MR | Zbl
and ,[77] A Review of A Posteriori Error Estimation and Adaptive Mesh-refinement Techniques. Wiley-Teubner, Stuttgart (1996). | Zbl
,[78] The heterogeneous multiscale methods. Commun. Math. Sci. 1 (2003) 87–132. | DOI | MR | Zbl
and ,[79] A multiscale preconditioner for stochastic mortar mixed finite elements. Comput. Methods Appl. Mech. Eng. 200 (2011) 1251–1262. | DOI | MR | Zbl
, and ,[80] Discretization Methods and Iterative Solvers Based on Domain Decomposition. Vol. 17 of Lecture Notes in Computational Science and Engineering. Springer, Berlin, New York (2001). | MR | Zbl
,[81] Fast numerical methods for stochastic computations: a review. Commun. Comput. Phys. 5 (2009) 242–272. | MR | Zbl
,[82] Numerical methods for differential equations in random domains. SIAM J. Sci. Comput. 28 (2006) 1167–1185. | DOI | MR | Zbl
and ,[83] A multiscale stochastic finite element method on elliptic problems involving uncertainties. Comput. Methods Appl. Mech. Eng. 196 (2007) 2723–2736. | DOI | MR | Zbl
,[84] A Green-function-based multiscale method for uncertainty quantification of finite body random heterogeneous materials. Comput. Struct. 87 (2009) 1416–1426. | DOI
, and ,[85] Domain decomposition methods for linear and semilinear elliptic stochastic partial differential equations. Appl. Math. Comput. 195 (2008) 630–640. | DOI | MR | Zbl
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