Abstract
In this paper we show how to accurately estimate the local truncation error of the Chebyshev spectral collocation method using \(\tau \)-estimation. This method compares the residuals on a sequence of approximations with different polynomial orders. First, we focus the analysis on one-dimensional scalar linear and non-linear test cases to examine the accuracy of the estimation of the truncation error. Then, we show the validity of the analysis for the incompressible Navier–Stokes equations. First on the Kovasznay flow, where an analytical solution is known, and finally in the lid driven cavity (LDC). We demonstrate that this approach yields a highly accurate estimation of the truncation error if the precision of the approximations increases with the polynomial order.
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References
Berger, M.J.: Adaptive finite difference methods in fluid dynamics. Technical report, Courant Institute of Mathematical Sciences, New York University, New York (1987)
Bernert, K.: \(\tau \)-Extrapolation-theoretical foundation, numerical experiment, and application to Navier–Stokes equations. Siam J. Sci. Comput. 18, 460–478 (1997)
Botella, O., Peyret, R.: Benchmark spectral results on the lid driven cavity flow. Comput. Fluids 27(4), 421–433 (1998). doi:10.1016/S0045-7930(98)00002-4. http://www.sciencedirect.com/science/article/pii/S0045793098000024
Boyd, J.: Chebyshev and Fourier Spectral Methods. Springer, Berlin (1989)
Brandt, A., Livne, O.: Multigrid Techniques: 1984 Guide with Applications to Fluid Dynamics. SIAM, Philadelphia (1984)
Burggraf, O.R.: Analytical and numerical studies of the structure of steady separated flows. J. Fluid Mech. 24, 113–151. doi:10.1017/S0022112066000545. http://dx.doi.org/10.1017/S0022112066000545
Canuto, C., Hussaini, M.Y., Quarteroni, A., Zang, T.: Spectral Methods in Fluid Dynamics. Springer, Berlin (1989)
Casoni, E.: Shock capturing for discontinuous Galerkin methods. Ph.D. thesis, Universitat Politcnica de Catalunya (2011)
Chorin, A.J.: A numerical method for solving incompressible flow problems. J. Comput. Phys. 2, 12–26 (1967)
Cockburn, B., Kanschat, G., Tzau, D.: The local discontinuous Galerkin method for the Oseen equations. Math. Comput. 73, 569593 (2003)
de Vicente, J.: Spectral multi-domain methods for the global instability analysis of complex cavity flows. Ph.D. thesis, Polytechnic University of Madrid (2010)
Fraysse, F., De Vicente, J., Valero, E.: The estimation of truncation error by \(\tau \)-estimation revisited. J. Comput. Phys. 231, 3457–3482 (2012)
Fulton, S.R.: On the accuracy of multigrid truncation error estimates. Electron. Trans. Numer. Anal. 15, 29–37 (2003)
Ghia, U., Ghia, K., Shin, C.: High-Re solutions for incompressible flow using the Navier Stokes equations and a multigrid method. J. Comput. Phys. 48(3), 387–411 (1982). doi:10.1016/0021-9991(82)90058-4. http://www.sciencedirect.com/science/article/pii/0021999182900584
Hartmann, R., Held, J., Leicht, T., Prill, F.: Discontinuous Galerkin methods for computational aerodynamics 3D adaptive flow simulation with the DLR padge code. Aerosp. Sci. Technol. 14(7), 512–519 (2010). doi:10.1016/j.ast.2010.04.002. http://www.sciencedirect.com/science/article/pii/S1270963810000441
Hartmann, R., Held, J., Leicht, T.: Adjoint-based error estimation and adaptive mesh refinement for the RANS and \(k-\omega \) turbulence model equations. J. Comput. Phys. 230(11), 4268–4284 (2011). doi:10.1016/j.jcp.2010.10.026. http://www.sciencedirect.com/science/article/pii/S0021999110005826. Special issue High Order Methods for CFD Problems
Kondaxakis, D., Tsangaris, S.: A weak Legendre collocation spectral method for the solution of the incompressible Navier Stokes equations in unstructured quadrilateral subdomains. J. Comput. Phys. 192(1), 124–156 (2003). doi:10.1016/S0021-9991(03)00350-4. http://www.sciencedirect.com/science/article/pii/S0021999103003504
Kopriva, D.A.: Implementing Spectral Methods for Partial Differential Equations: Algorithms for Scientists and Engineers. Scientific Computation. Springer, New York (2009)
Kovasznay, L.I.G.: Laminar flow behind a two-dimensional grid. Proc. Camb. Philos. Soc. 44, 5862 (1948)
Löhner, R.: Mesh adaptation in fluid mechanics. Eng. Fract. Mech. 50(56), 819–847 (1995). doi:10.1016/0013-7944(94)E0062-L. http://www.sciencedirect.com/science/article/pii/0013794494E0062L
Mavriplis, C.: Nonconforming discretizations and a posteriori error estimators for adaptive spectral element techniques. Ph.D. thesis, Massachusetts Institute of Technology (1989)
Mavriplis, C.A.: Adaptive mesh strategies for the spectral element method. Comput. Methods Appl. Mech. Eng. 116(14), 77–86 (1994). doi:10.1016/S0045-7825(94)80010-3. http://www.sciencedirect.com/science/article/pii/S0045782594800103
Oberkampf, W.L., Roy, C.J.: Verification and Validation in Scientific Computing. Cambridge University Press, Cambridge (2010)
Ozcelikkale, A., Sert, C.: Least-squares spectral element solution of incompressible Navier Stokes equations with adaptive refinement. J. Comput. Phys. 231, 3755–3769 (2012)
Peyret, R., Taylor, T.: Computational Methods for Fluid Flow. Springer Series in Computational Physics. Springer, New York (1983). http://books.google.com.ar/books?id=hZZRAAAAMAAJ
Roache, P.J.: Verification and Validation in Computational Science and Engineering. Hermosa Publishers, Albuquerque (1998)
Rosenberg, D., Fournier, A., Fischer, P., Pouquet, A.: Geophysical-astrophysical spectral-element adaptive refinement (GASpAR): object-oriented h-adaptive fluid dynamics simulation. J. Comput. Phys. 215(1), 59–80 (2006). doi:10.1016/j.jcp.2005.10.031. http://www.sciencedirect.com/science/article/pii/S0021999105004791
Roy, C.J.: Review of discretization error estimators in scientific computing. In: AIAA Paper (2010)
Shah, A., Yuan, L., Khan, A.: Upwind compact finite difference scheme for time-accurate solution of the incompressible Navier Stokes equations. Appl. Math. Comput. 215(9), 3201–3213 (2010). doi:10.1016/j.amc.2009.10.001. http://www.sciencedirect.com/science/article/pii/S0096300309008947
Shen, J.: Dynamics of regularized cavity flow at high Reynolds numbers. Appl. Math. Lett. 2(4), 381–384 (1989). doi:10.1016/0893-9659(89)90093-1. http://www.sciencedirect.com/science/article/pii/0893965989900931
Shen, J.: Pseudo-compressibility methods for the unsteady incompressible Navier Stokes equations. In: Beijing Symposium on Nonlinear Evolution Equations and Infinite, Dynamical Systems (1997)
Syrakos, A., Goulas, A.: Finite volume adaptive solutions using simple as smoother. Int. J. Numer. Methods Fluids 52, 1215–1245 (2006)
Syrakos, A., Efthimiou, G., Bartzis, J.G., Goulas, A.: Numerical experiments on the efficiency of local grid refinement based on truncation error estimates. J. Comput. Phys. 231(20), 6725–6753 (2012). doi:10.1016/j.jcp.2012.06.023. http://www.sciencedirect.com/science/article/pii/S0021999112003385
Venditti, D.A., Darmofal, D.L.: Adjoint error estimation and grid adaptation for functional outputs: application to quasi-one-dimensional flow. J. Comput. Phys. 164, 204–227 (2000)
Wang, L., Mavriplis, D.J.: Adjoint-based hp adaptive discontinuous Galerkin methods for the 2D compressible euler equations. J. Comput. Phys. 228(20), 7643–7661 (2009). doi:10.1016/j.jcp.2009.07.012. http://www.sciencedirect.com/science/article/pii/S0021999109003854
Wasberg, C., Gottlieb, D.: Optimal decomposition of the domain in spectral methods for wave-like phenomena. SIAM J. Sci. Comput. 22(2), 617–632 (2000)
Zienkiewicz, O.C.: The background of error estimation and adaptivity in finite element computations. Comput. Methods Appl. Mech. Eng. 195(46), 207–213 (2006). doi:10.1016/j.cma.2004.07.053. http://www.sciencedirect.com/science/article/pii/S0045782505000824. Adaptive Modeling and Simulation
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This research is supported by the European project ANADE (PINT-GA-2011-289428). Furthermore, the authors would like to thank Professor David A. Kopriva for his support, and for many invaluable discussions.
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Rubio, G., Fraysse, F., de Vicente, J. et al. The Estimation of Truncation Error by \(\tau \)-Estimation for Chebyshev Spectral Collocation Method. J Sci Comput 57, 146–173 (2013). https://doi.org/10.1007/s10915-013-9698-8
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DOI: https://doi.org/10.1007/s10915-013-9698-8