Adaptive multistep time discretization and linearization based on a posteriori error estimates for the Richards equation
| hal.structure.identifier | Université de Bordeaux [UB] | |
| dc.contributor.author | BARON, V. | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | COUDIÈRE, Y. | |
| hal.structure.identifier | Bureau de Recherches Géologiques et Minières [BRGM] | |
| dc.contributor.author | SOCHALA, Pierre | |
| dc.date.accessioned | 2024-04-04T02:41:05Z | |
| dc.date.available | 2024-04-04T02:41:05Z | |
| dc.date.issued | 2017-02 | |
| dc.identifier.issn | 0168-9274 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/191121 | |
| dc.description.abstractEn | We derive some a posteriori error estimates for the Richards equation. This parabolic equation is nonlinear in space and in time, thus its resolution requires fixed-point iterations within each time step. We measure the approximation error with the dual norm of the residual. A computable upper bound of this error consists of several estimators involving adequate reconstructions based on the degrees of freedom of the scheme. The space and time reconstructions are specified for a two-step backward differentiation formula and a discrete duality finite volume scheme. Our strategy to decrease the computational cost relies on an aggregation of the estimators in three components: space discretization, time discretization, and linearization. We propose an algorithm to stop the fixed-point iterations after the linearization error becomes negligible, and to choose the time step in order to balance the time and space errors. We analyze the influence of the parameters of this algorithm on three test cases and quantify the gain obtained in comparison with a classical simulation. | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.subject.en | A posteriori error estimates | |
| dc.subject.en | Richards equation | |
| dc.subject.en | Discrete duality finite volume scheme | |
| dc.subject.en | Backward differentiation formula | |
| dc.subject.en | Adaptive algorithm | |
| dc.title.en | Adaptive multistep time discretization and linearization based on a posteriori error estimates for the Richards equation | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.apnum.2016.10.005 | |
| dc.subject.hal | Planète et Univers [physics]/Sciences de la Terre | |
| bordeaux.journal | Applied Numerical Mathematics | |
| bordeaux.page | 104-125 | |
| bordeaux.volume | 112 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-03702088 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-03702088v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Applied%20Numerical%20Mathematics&rft.date=2017-02&rft.volume=112&rft.spage=104-125&rft.epage=104-125&rft.eissn=0168-9274&rft.issn=0168-9274&rft.au=BARON,%20V.&COUDI%C3%88RE,%20Y.&SOCHALA,%20Pierre&rft.genre=article |
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