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Journal ArticleDOI

The superconvergent patch recovery and a posteriori error estimates. Part 2: Error estimates and adaptivity

O. C. Zienkiewicz, +1 more
- 30 May 1992 - 
- Vol. 33, Iss: 7, pp 1365-1382
TLDR
In this paper, the authors derived a theorem showing the dependence of the effectivity index for the Zienkiewicz-Zhu error estimator on the convergence rate of the recovered solution.
Abstract
In this second part of the paper, the issue of a posteriori error estimation is discussed. In particular, we derive a theorem showing the dependence of the effectivity index for the Zienkiewicz–Zhu error estimator on the convergence rate of the recovered solution. This shows that with superconvergent recovery the effectivity index tends asymptotically to unity. The superconvergent recovery technique developed in the first part of the paper1 is the used in the computation of the Zienkiewicz–Zhu error estimator to demonstrate accurate estimation of the exact error attainable. Numerical tests are shown for various element types illustrating the excellent effectivity of the error estimator in the energy norm and pointwise gradient (stress) error estimation. Several examples of the performance of the error estimator in adaptive mesh refinement are also presented.

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Citations
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A Posteriori Error Estimation in Finite Element Analysis

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The extended/generalized finite element method: An overview of the method and its applications

TL;DR: An overview of the extended/generalized finite element method (GEFM/XFEM) with emphasis on methodological issues is presented in this article, which enables accurate approximation of solutions that involve jumps, kinks, singularities, and other locally non-smooth features within elements.
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Verification and Validation in Scientific Computing

TL;DR: A comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations that are described by partial differential and integral equations and the simulations that result from their numerical solution.
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Verification and Validation in Computational Fluid Dynamics

TL;DR: An extensive review of the literature in V&V in computational fluid dynamics (CFD) is presented, methods and procedures for assessing V &V are discussed, and a relatively new procedure for estimating experimental uncertainty is given that has proven more effective at estimating random and correlated bias errors in wind-tunnel experiments than traditional methods.
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A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

TL;DR: An overview of a comprehensive framework is given for estimating the predictive uncertainty of scientific computing applications, which treats both types of uncertainty (aleatory and epistemic), incorporates uncertainty due to the mathematical form of the model, and provides a procedure for including estimates of numerical error in the Predictive uncertainty.
References
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Journal ArticleDOI

A simple error estimator and adaptive procedure for practical engineerng analysis

TL;DR: A new error estimator is presented which is not only reasonably accurate but whose evaluation is computationally so simple that it can be readily implemented in existing finite element codes.
Journal ArticleDOI

The superconvergent patch recovery and a posteriori error estimates. Part 1: The recovery technique

TL;DR: In this article, a general recovery technique is developed for determining the derivatives (stresses) of the finite element solutions at nodes, which has been tested for a group of widely used linear, quadratic and cubic elements for both one and two dimensional problems.
Journal ArticleDOI

Error Estimates for Adaptive Finite Element Computations

TL;DR: The main theorem gives an error estimate in terms of localized quantities which can be computed approximately, and the estimate is optimal in the sense that, up to multiplicative constants which are independent of the mesh and solution, the upper and lower error bounds are the same.
Journal ArticleDOI

Some a posteriori error estimators for elliptic partial differential equations

TL;DR: Three new a posteriori error estimators in the energy norm for finite element solutions to elliptic partial differential equations are presented and it is proved that as the mesh size decreases, under suitable assumptions, two of the error estimator approach upper bounds on the norm of the true error.
Journal ArticleDOI

Local and global smoothing of discontinuous finite element functions using a least squares method

TL;DR: In this article, the concepts and potential advantages of local and global least squares smoothing of discontinuous finite element functions are introduced, and the relationship between local smoothing and the reduced integration technique is established.
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