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Adaptive Time Discretization and Linearization Based on a Posteriori Estimates for the Richards Equation

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Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 78))

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Abstract

We derive some a posteriori error estimates for the Richards equation, based on the dual norm of the residual. This equation is nonlinear in space and in time, thus its resolution requires fixed-point iterations within each time step. We propose a strategy to decrease the computational cost relying on a splitting of the error terms in three parts: linearization, time discretization, and space discretization. In practice, we stop the fixed-point iterations after the linearization error becomes negligible, and choose the time step in order to balance the time and space errors.

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References

  1. Alt Wilhelm, H., Luckhaus, S.: Quasilinear elliptic-parabolic differential equations. Math. Z. 183(3), 311–341 (1983)

    Google Scholar 

  2. Baron, V., Coudière, Y., Sochala, P.: Comparison of DDFV and DG methods for flow in anisotropic heterogeneous porous media. Oil Gas Sci. Technol. Rev. IFP En. nouvelles (2013)

    Google Scholar 

  3. Bernardi, C., El Alaoui, L., Mghazli, Z.: A posteriori analysis of a space and time discretization of a nonlinear model for the flow in variably saturated porous media. IMA J. Numer. Anal. (2013)

    Google Scholar 

  4. Brezzi, F., Fortin, M.: Mixed and Hybrid Finite Element Methods. Springer, New York (1991)

    Google Scholar 

  5. Destuynder, P., Métivet, B.: Explicit error bounds in a conforming finite element method. Math. Comput. Am. Math. Soc. 68(228), 1379–1396 (1999)

    Google Scholar 

  6. Di Pietro, D.A., Vohralík, M., Yousef, S., et al.: A posteriori error estimates with application of adaptive mesh refinement for thermal multiphase compositional flows in porous media. Comput. Math. Appl. (2013)

    Google Scholar 

  7. Dolejší, V., Ern, A., Vohralík, M.: A framework for robust a posteriori error control in unsteady nonlinear advection-diffusion problems. SIAM J. Numer. Anal. 51(2), 773–793 (2013)

    Article  MATH  MathSciNet  Google Scholar 

  8. Ern, A., Stephansen, A.F., Vohralík, M.: Guaranteed and robust discontinuous Galerkin a posteriori error estimates for convection-diffusion-reaction problems. J. Comput. Appl. Math. 234(1), 114–130 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  9. Ern, A., Vohralík, M.: A posteriori error estimation based on potential and flux reconstruction for the heat equation. SIAM J. Numer. Anal. 48(1), 198–223 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  10. Haverkamp, R., Vauclin, M., Touma, J., Wierenga, P., Vachaud, G.: A comparison of numerical simulation models for one-dimensional infiltration. Soil Sci. Soc. America J. 41(2), 285–294 (1977)

    Article  Google Scholar 

  11. Ladevèze, P.: Comparaison de modèles de milieux continus. Ph.D. thesis (1975)

    Google Scholar 

  12. Manzini, G., Ferraris, S.: Mass-conservative finite volume methods on 2-D unstructured grids for the Richards equation. Adv. Water Res. 27(12), 1199–1215 (2004)

    Article  Google Scholar 

  13. Prager, W., Synge, J.L.: Approximations in elasticity based on the concept of function space. Q. Appl. Math. 5(3), 1–21 (1947)

    MathSciNet  Google Scholar 

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Correspondence to Vincent Baron .

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Baron, V., Coudière, Y., Sochala, P. (2014). Adaptive Time Discretization and Linearization Based on a Posteriori Estimates for the Richards Equation. In: Fuhrmann, J., Ohlberger, M., Rohde, C. (eds) Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems. Springer Proceedings in Mathematics & Statistics, vol 78. Springer, Cham. https://doi.org/10.1007/978-3-319-05591-6_48

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