In this paper we present a new reduced basis technique for parametrized nonlinear scalar conservation laws in presence of shocks. The essential ingredients are an efficient algorithm to approximate the shock curve, a procedure to detect the smooth components of the solution at the two sides of the shock, and a suitable interpolation strategy to reconstruct such smooth components during the online stage. The approach we propose is based on some theoretical properties of the solution to the problem. Some numerical examples prove the effectiveness of the proposed strategy.
DOI : 10.1051/m2an/2014054
Mots clés : Nonlinear conservation laws, model reduction, reduced basis method
@article{M2AN_2015__49_3_787_0, author = {Taddei, T. and Perotto, S. and Quarteroni, A.}, title = {Reduced basis techniques for nonlinear conservation laws}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {787--814}, publisher = {EDP-Sciences}, volume = {49}, number = {3}, year = {2015}, doi = {10.1051/m2an/2014054}, zbl = {1316.65079}, mrnumber = {3342228}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/m2an/2014054/} }
TY - JOUR AU - Taddei, T. AU - Perotto, S. AU - Quarteroni, A. TI - Reduced basis techniques for nonlinear conservation laws JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2015 SP - 787 EP - 814 VL - 49 IS - 3 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/m2an/2014054/ DO - 10.1051/m2an/2014054 LA - en ID - M2AN_2015__49_3_787_0 ER -
%0 Journal Article %A Taddei, T. %A Perotto, S. %A Quarteroni, A. %T Reduced basis techniques for nonlinear conservation laws %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2015 %P 787-814 %V 49 %N 3 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/m2an/2014054/ %R 10.1051/m2an/2014054 %G en %F M2AN_2015__49_3_787_0
Taddei, T.; Perotto, S.; Quarteroni, A. Reduced basis techniques for nonlinear conservation laws. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 49 (2015) no. 3, pp. 787-814. doi : 10.1051/m2an/2014054. http://archive.numdam.org/articles/10.1051/m2an/2014054/
A note on admissible solutions of 1d scalar conservation laws and 2d Hamilton–Jacobi equations. J. Hyperbol. Differ. Eq. 31 (2004) 813–826. | DOI | MR | Zbl
and ,L. Ambrosio, N. Fusco and D. Pallara, Functions of Bounded Variation and Free Discontinuity Problems. Oxford Math. Monogr. Oxford Univ. Press, Oxford (2000). | MR | Zbl
First order quasilinear equations with boundary conditions. Commun. Part Differ. Eq. 4 (1979) 1017–1034. | DOI | MR | Zbl
, and ,An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations. C. R. Math. Acad. Sci. Paris 339 (2004) 667–672. | DOI | MR | Zbl
, , and ,Kruzkov’s estimates for scalar conservation laws revisited. Trans. Amer. Math. Soc. 350 (1998) 2847–2870. | DOI | MR | Zbl
and ,A. Bressan, Hyperbolic Systems of Conservation Laws-The One-Dimensional Cauchy Problem. Oxford Univ. Press, Oxford (2000). | MR | Zbl
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows. J. Comput. Phys. 242 (2013) 623–647. | DOI | MR | Zbl
, , and ,Continuous dependence on the nonlinearities of solutions of degenerate parabolic equations. J. Differ. Eq. 151 (1999) 231–251. | DOI | MR | Zbl
and ,Reduced basis approximation for nonlinear parametrized evolution equations based on empirical operator interpolation. SIAM J. Sci. Comput. 34 (2012) A937–A969. | DOI | MR | Zbl
, and ,L. Evans, Partial Differential Equations. In vol. 19 of Grad. Stud. Math. 2nd edition. American Mathematical Society, Providence (2010). | MR | Zbl
An approximate analysis technique for design calculations. AIAA J. 9 (1971) 177–179. | DOI
and ,M. Garavello and B. Piccoli, Traffic Flow on Networks – Conservation Laws Models. Vol. 1. American Institute of Mathematical Sciences, New York (2006). | MR | Zbl
J.F. Gerbeau and D. Lombardi, Approximated Lax Pairs for the reduced order integration of nonlinear evolution equations. Technical report, INRIA Paris-Rocquencourt (2014). Preprint ArXiv:1401.4829. | MR
Two a posteriori error estimates for one-dimensional scalar conservation laws. SIAM J. Numer. Anal. 38 (2000) 964–988. | DOI | MR | Zbl
and ,Reduced order modeling of time-dependent PDEs with multiple parameters in the boundary data. Comput. Methods Appl. Mech. 196 (2007) 1030–1047. | DOI | MR | Zbl
, and ,Reduced basis method for finite volume approximations of parametrized evolution equations. Math. Model. Numer. Anal. 42 (2008) 277–302. | DOI | Numdam | MR | Zbl
and ,A static condensation reduced basis element method: approximation and a posteriori error estimation. ESAIM: M2AN 47 (2013) 213–251. | DOI | Numdam | MR | Zbl
, and ,A reduced basis hybrid method for the coupling of parametrized domains represented by fluidic networks. Comput. Method Appl. Mech. 221–222 (2012) 63–82. | DOI | MR | Zbl
, and ,R. LeVeque, Numerical Methods for Conservation Laws. Birkhauser Verlag, Berlin (1992). | MR | Zbl
R. LeVeque, Finite Volume Methods for Hyperbolic Problems. Cambridge University Press, Cambridge (2002). | MR | Zbl
The reduced basis element method: application to a thermal fin problem. SIAM J. Sci. Comput. 26 (2004) 240–258. | DOI | MR | Zbl
, and ,A reduced basis element method for the steady Stokes problem. ESAIM: M2AN 40 (2006) 529–552. | DOI | Numdam | MR | Zbl
, and ,Certified reduced basis approximation for parametrized partial differential equations and applications. J. Math. Indian 1 (2011) 1–44. | MR | Zbl
, and ,MATLAB. version 7.10.0 (R2010a). The MathWorks Inc., Natick, Massachusetts (2010).
Recent advances in reduction methods for non-linear problems. Comput. Struct. 13 (1981) 31–44. | DOI | MR | Zbl
,Nonlinear reduced basis approximation of parametrized evolution equations via the method of freezing. C. R. Math. Acad. Sci. Paris, Série I 348 (2013) 901–906. | DOI | MR | Zbl
and ,A. Patera and G. Rozza, Reduced Basis Approximation and a posteriori Error Estimation for Parametrized Partial Differential Equations. To appear in MIT Pappalardo Graduate Monographs in Mechanical Engineering. Massachusetts Institute of Technology (2009).
Estimation of the error in the reduced basis method solution of nonlinear equations. Math. Comput. 45 (1985) 487–496. | DOI | MR | Zbl
,A. Quarteroni, L. Sacco and F. Saleri, Numerical Mathematics. In vol. 37 of Texts Appl. Math. 1st edition. Springer (2007). | MR | Zbl
A. Quarteroni and A. Valli, Numerical Approximation of Partial Differential Equations, 2nd edition. Springer-Verlag, Berlin, Heidelberg (1994). | MR | Zbl
Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations. Arch. Comput. Meth. Eng. 15 (2008) 229–275. | DOI | MR | Zbl
, and ,W. Rudin, Real and Complex Analysis, 2nd edition. Mc-Graw-Hill, New York (1974). | MR | Zbl
T. Bui-Thanh, M. Damodaran and K. Willcox, Proper Orthogonal Decomposition extensions for parametric applications in transonic aerodynamics. In Proc. of 16th AIAA Comput. Fluid Dynamics (2003).
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