2001
DOI: 10.1002/nme.228
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Local error estimates of FEM for displacements and stresses in linear elasticity by solving local Neumann problems

Abstract: SUMMARYIn this paper we present two types of local error estimators for the primal ÿnite-element-method (FEM) by duality arguments. They are ÿrst derived from the (explicit) residual error estimation method (REM) and then-as a new contribution-from the (implicit) posterior equilibrium method (PEM) using improved boundary tractions, gained by local post-processing with local Neumann problems, with applications in elastic problems. For the displacements a local error estimator with an upper bound is derived and … Show more

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Cited by 68 publications
(46 citation statements)
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“…An adaptive mesh generation scheme attempts to automate the mesh generation and in the scheme, accuracy of error estimation of a given mesh is essential (Hwang, 1988;McFee and Giannacopoulos, 2001;Ohnimus et al, 2001;Stampfle et al, 2001;Yoon, 2005;Zhu et al, 1991). In general engineering problems, accurate solutions are not known and thus accurate error estimation is inherently a difficult problem.…”
Section: Error Estimation With Representative Strainsmentioning
confidence: 99%
“…An adaptive mesh generation scheme attempts to automate the mesh generation and in the scheme, accuracy of error estimation of a given mesh is essential (Hwang, 1988;McFee and Giannacopoulos, 2001;Ohnimus et al, 2001;Stampfle et al, 2001;Yoon, 2005;Zhu et al, 1991). In general engineering problems, accurate solutions are not known and thus accurate error estimation is inherently a difficult problem.…”
Section: Error Estimation With Representative Strainsmentioning
confidence: 99%
“…We refer the reader to References [11][12][13][14] for a detailed description of this approach, and to [16,[28][29][30][31] for the extension to non-linear quantities of interest. For the sake of clarity we will omit the reference to the space of the random parameters Y.…”
Section: Estimation Of the Outputs Of Interestmentioning
confidence: 99%
“…The development of error estimators for such quantities was initiated in the 1980s [7,8]. Recently, numerous works have been published that provide error estimates and bounds for several quantities of interest [9][10][11][12][13][14][15][16]. However, these works have been developed for deterministic FEA and little research has been carried out on the verification of probabilistic models [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed methods based on the use of SA-field, like the error in constitutive equation (Ladevèze, 1975;Ladevèze and Leguillon, 1983) or like the equilibrated residuals (Babuška and Rheinboldt, 1978;Babuška and Miller, 1987), provide efficient error estimators, for global or local quantities (Ladevèze and Moës, 1999;Prudhomme and Oden, 1999;Ohnimus et al, 2001;Becker and Rannacher, 2001), even in some nonlinear contexts (Babuška and Rheinboldt, 1982;Ladevèze et al, 1986;Ladevèze, 2001;Louf et al, 2003) and domain decomposition methods (Parret-Fréaud et al, 2010).…”
Section: Introductionmentioning
confidence: 99%