2005
DOI: 10.1007/s00466-005-0711-4
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Pointwise error estimation and adaptivity for the finite element method using fundamental solutions

Abstract: In this paper, we present a goal-oriented a posteriori error estimation technique for the pointwise error of finite element approximations using fundamental solutions. The approach is based on an integral representation of the pointwise quantity of interest using the corresponding Green's function, which is decomposed into an unknown regular part and a fundamental solution. Since only the regular part must be approximated with finite elements, very accurate results are obtained. The approach also allows the de… Show more

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Cited by 10 publications
(8 citation statements)
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“…The implicit estimator decomposes the error in two parts: the first component involves solving a local problem set on each element, constituted by a bubble space; and the second term computes the contribution of the inter‐element residuals on the elemental boundaries using the free‐space Green's functions. In other works, we can find similar concepts on the use of Green's functions for error estimation. On the other hand, the explicit estimator predicts the error by multiplying the residuals with the corresponding error time‐scale, τ 's.…”
Section: Introductionmentioning
confidence: 80%
See 1 more Smart Citation
“…The implicit estimator decomposes the error in two parts: the first component involves solving a local problem set on each element, constituted by a bubble space; and the second term computes the contribution of the inter‐element residuals on the elemental boundaries using the free‐space Green's functions. In other works, we can find similar concepts on the use of Green's functions for error estimation. On the other hand, the explicit estimator predicts the error by multiplying the residuals with the corresponding error time‐scale, τ 's.…”
Section: Introductionmentioning
confidence: 80%
“…In the literature, other methodologies or procedures are considered to generate adapted meshes. For example, starting from a initial mesh, other authors split the elements with large errors and merge those with small errors . In this latter case, usually, there appear hanging nodes that must be treated.…”
Section: Adaptive Mesh Refinementmentioning
confidence: 99%
“…Similar enrichment techniques were developed in [19] for elastodynamics problems and in [11] for quasi-static problems.…”
Section: The Adjoint Problem and Its Solutionmentioning
confidence: 91%
“…For steady-state problems, several works have proposed answers [7,28,33,34,38] and some of them provide guaranteed estimates, which is useful for robust design. However, to our knowledge, verification methods developed in dynamics [14,19,20,36,40] do not provide guaranteed local error estimation.…”
Section: Introductionmentioning
confidence: 97%
“…example, [21][22][23][24][25]). Several specific estimates, such as the adjoint-weighted residual method [17,20], the energy norm based estimates [26], the Green's function decomposition method [27], the strict-bounding approach based on Lagrangian formulation [28], the CRE-based error estimation [25], have been proposed and applied in solutions of Poisson's equation, linear and non-linear static problems in solid mechanics, eigenvalue problems, time-dependent problems, non-trivial problems of CFD and etc [29,30]. Among the available techniques, the CRE-based error estimation is a one to guarantee strict bounds of quantities.…”
Section: Introductionmentioning
confidence: 99%