Paper Info
Title
Local Equilibration Error Estimators for Guaranteed Error Control in Adaptive Stochastic Higher-Order Galerkin Finite Element Methods.
Abstract
Equilibration error estimators have been shown to commonly lead to very accurate guaranteed error bounds in the a posteriori error control of finite element methods (FEMs) for second order elliptic equations. Here, we revisit equilibrated fluxes for higher-order FEMs with nonconstant coefficients and illustrate the favorable performance of different variants of the error estimator within two deterministic benchmark settings. After the introduction of the respective parametric problem with stochastic coefficients and the stochastic Galerkin FEM discretization, a novel a posteriori error estimator for the stochastic error in the energy norm is devised. It is based on the stochastic residual and its decomposition into approximation residuals and a truncation error of the stochastic discretization due to the reduction to a finite set of (random) parameters. Importantly, by using the derived deterministic equilibration techniques for the approximation residuals, the computable error bound is guaranteed for the considered class of problems. An adaptive algorithm allows the simultaneous re finement of the deterministic mesh and the stochastic discretization in anisotropic Legendre polynomial chaos. Several stochastic benchmark problems illustrate the efficiency of the adaptive process.
Year
DOI
Venue
2016
10.1137/15M102188X
SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION
Keywords
DocType
Volume
partial differential equations with random coefficients,equilibrated estimator,guaranteed bounds,uncertainty quantification,stochasticfinite element methods,operator equations,adaptive methods
Journal
4
Issue
ISSN
Citations 
1
2166-2525
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Martin Eigel1104.00
Christian Merdon2627.33