We present the current Reduced Basis framework for the efficient numerical approximation of parametrized steady Navier-Stokes equations. We have extended the existing setting developed in the last decade (see e.g. [S. Deparis, SIAM J. Numer. Anal. 46 (2008) 2039-2067; A. Quarteroni and G. Rozza, Numer. Methods Partial Differ. Equ. 23 (2007) 923-948; K. Veroy and A.T. Patera, Int. J. Numer. Methods Fluids 47 (2005) 773-788]) to more general affine and nonaffine parametrizations (such as volume-based techniques), to a simultaneous velocity-pressure error estimates and to a fully decoupled Offline/Online procedure in order to speedup the solution of the reduced-order problem. This is particularly suitable for real-time and many-query contexts, which are both part of our final goal. Furthermore, we present an efficient numerical implementation for treating nonlinear advection terms in a convenient way. A residual-based a posteriori error estimation with respect to a truth, full-order Finite Element approximation is provided for joint pressure/velocity errors, according to the Brezzi-Rappaz-Raviart stability theory. To do this, we take advantage of an extension of the Successive Constraint Method for the estimation of stability factors and of a suitable fixed-point algorithm for the approximation of Sobolev embedding constants. Finally, we present some numerical test cases, in order to show both the approximation properties and the computational efficiency of the derived framework.
Mots clés : reduced basis method, parametrized Navier-Stokes equations, steady incompressible fluids, a posteriori error estimation, approximation stability
@article{M2AN_2014__48_4_1199_0, author = {Manzoni, Andrea}, title = {An efficient computational framework for reduced basis approximation and \protect\emph{a posteriori }error estimation of parametrized {Navier-Stokes} flows}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {1199--1226}, publisher = {EDP-Sciences}, volume = {48}, number = {4}, year = {2014}, doi = {10.1051/m2an/2014013}, zbl = {1301.76025}, language = {en}, url = {http://www.numdam.org/articles/10.1051/m2an/2014013/} }
TY - JOUR AU - Manzoni, Andrea TI - An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2014 SP - 1199 EP - 1226 VL - 48 IS - 4 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/m2an/2014013/ DO - 10.1051/m2an/2014013 LA - en ID - M2AN_2014__48_4_1199_0 ER -
%0 Journal Article %A Manzoni, Andrea %T An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2014 %P 1199-1226 %V 48 %N 4 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/m2an/2014013/ %R 10.1051/m2an/2014013 %G en %F M2AN_2014__48_4_1199_0
Manzoni, Andrea. An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 48 (2014) no. 4, pp. 1199-1226. doi : 10.1051/m2an/2014013. http://www.numdam.org/articles/10.1051/m2an/2014013/
[1] An “empirical interpolation” method: application to efficient reduced-basis discretization of partial differential equations. C. R. Math. Acad. Sci. Paris 339 (2004) 667-672. | MR | Zbl
, , and ,[2] Backward-facing step flows for various expansion ratios at low and moderate Reynolds numbers. J. Fluids Eng. 126 (2004) 362-374.
, and ,[3] On the existence, uniqueness, and approximation of saddle point problems arising from Lagrangian multipliers. RAIRO. Anal. Numér. 2 (1974) 129-151. | Numdam | MR | Zbl
,[4] Finite dimensional approximation of nonlinear problems. Part I: Branches of nonsingular solutions. Numer. Math. 36 (1980) 1-25. | MR | Zbl
, and ,[5] Numerical analysis for nonlinear and bifurcation problems. In vol. 5, Techniques of Scientific Computing (Part 2). Handbook of Numerical Analysis, edited by P.G. Ciarlet and J.L. Lions. Elsevier Science B.V. (1997) 487-637. | MR
and ,[6] A posteriori error analysis of the reduced basis method for non-affine parameterized nonlinear pdes. SIAM J. Numer. Anal. 47 (2009) 2001-2022. | MR | Zbl
, and ,[7] Reduced basis error bound computation of parameter-dependent Navier-Stokes equations by the natural norm approach. SIAM J. Numer. Anal. 46 (2008) 2039-2067. | MR | Zbl
,[8] Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity. J. Comput. Phys. 228 (2009) 4359-437. | MR | Zbl
and ,[9] Finite Elements and Fast Iterative Solvers with Applications in Incompressible Fluid Dynamics. Series in Numer. Math. Sci. Comput. Oxford Science Publications, Clarendon Press, Oxford (2005). | MR
, and ,[10] Reduced basis a posteriori error bounds for the Stokes equations in parametrized domains: a penalty approach. Math. Models Methods Appl. Sci. 21 (2010) 2103-2134. | MR
and ,[11] Incompressible Flow and the Finite Element Method: Advection-Diffusion and Isothermal Laminar Flow.John Wiley & Sons (1998). | Zbl
and ,[12] RB (reduced basis) for RB (Rayleigh-Bénard). Comput. Methods Appl. Mech. Engrg. 261-262 (2013) 132-141. | MR | Zbl
, and ,[13] A natural-norm successive constraint method for inf-sup lower bounds. Comput. Methods Appl. Mech. Engrg. 199 (2010) 1963-1975. | MR | Zbl
, , , and ,[14] A reduced order method for simulation and control of fluid flows. J. Comput. Phys. 143 (1998) 403-425. | MR | Zbl
and ,[15] Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty. ESAIM: M2AN 47 (2013) 1107-1131. | Numdam | MR
, , and ,[16] Model order reduction in fluid dynamics: challenges and perspectives. In vol. 9, Reduced Order Methods for Modeling and Computational Reduction. Edited by A. Quarteroni and G. Rozza. Springer MS&A Series (2014) 235-274. | MR
, , and ,[17] Reduced models for optimal control, shape optimization and inverse problems in haemodynamics. Ph.D. thesis, École Polytechnique Fédérale de Lausanne (2012).
,[18] Rigorous and heuristic strategies for the approximation of stability factors in nonlinear parametrized PDEs. Technical report MATHICSE 8.2014: http://mathicse.epfl.ch/, submitted (2014).
and ,[19] Model reduction techniques for fast blood flow simulation in parametrized geometries. Int. J. Numer. Methods Biomed. Engrg. 28 (2012) 604-625. | MR
, and ,[20] Shape optimization of cardiovascular geometries by reduced basis methods and free-form deformation techniques. Int. J. Numer. Methods Fluids 70 (2012) 646-670. | MR
, and ,[21] Certified real-time solution of parametrized partial differential equations. Handbook of Materials Modeling. Edited by S. Yip. Springer, The Netherlands (2005) 1523-1558.
, and ,[22] The reduced basis method for incompressible viscous flow calculations. SIAM J. Sci. Statis. Comput. 10 (1989) 777-786. | MR | Zbl
,[23] Numerical solution of parametrized Navier-Stokes equations by reduced basis methods. Numer. Methods Partial Differ. Equ. 23 (2007) 923-948. | MR | Zbl
and ,[24] Certified reduced basis approximation for parametrized partial differential equations in industrial applications. J. Math. Ind. 1 (2011). | MR | Zbl
, and ,[25] Numerical Approximation of Partial Differential Equations 1st edition. Springer-Verlag, Berlin-Heidelberg (1994). | MR | Zbl
and ,[26] Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants. Numer. Math. 125 (2013) 115-152. | MR
, and ,[27] Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations. Arch. Comput. Methods Engrg. 15 (2008) 229-275. | MR
, and ,[28] On the stability of reduced basis methods for Stokes equations in parametrized domains. Comput. Methods Appl. Mech. Engrg. 196 (2007) 1244-1260. | MR | Zbl
and ,[29] “Natural norm” a posteriori error estimators for reduced basis approximations. J. Comput. Phys. 217 (2006) 37-62. | MR | Zbl
, , , , and ,[30] Navier-Stokes Equations. AMS Chelsea, Providence, Rhode Island (2001). | MR | Zbl
,[31] Certified real-time solution of the parametrized steady incompressible Navier-Stokes equations: rigorous reduced-basis a posteriori error bounds. Int. J. Numer. Methods Fluids 47 (2005) 773-788. | MR | Zbl
and ,[32] A space-time variational approach to hydrodynamic stability theory. Proc. R. Soc. A 469 (2013) 0036. | MR
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