2013
DOI: 10.1109/tmag.2013.2271993
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Residual and equilibrated error estimators for magnetostatic problems solved by finite element method

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Cited by 26 publications
(27 citation statements)
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“…In Fig. 2(a), we show the rates of convergence (in the log-log scale) of the error and of the spatial error estimator (7). As expected, varying the mesh size h, we have an one-order rate of convergence of the error, which is well described by the spatial error estimator.…”
Section: B Efficiencysupporting
confidence: 67%
See 1 more Smart Citation
“…In Fig. 2(a), we show the rates of convergence (in the log-log scale) of the error and of the spatial error estimator (7). As expected, varying the mesh size h, we have an one-order rate of convergence of the error, which is well described by the spatial error estimator.…”
Section: B Efficiencysupporting
confidence: 67%
“…To improve the quality of the resulting numerical solution, a posteriori techniques are more and more required, giving estimations of the computational error depending only on the numerical solution data of the problem. For example, in magnetostatics, the equilibrated error estimator is widely used [4], [5], [7], in the harmonic magnetodynamic case, the residual one is employed [1], [6], and for parabolic problems, some error estimators have been also proposed [2].…”
Section: Introductionmentioning
confidence: 99%
“…Concerning this issue, it is well known that the use of FEM in electromagnetics (as in other subjects) introduces errors related to the discretization and numerical problems can also arise because of the large size of the algebraic systems that have to be solved. In relation to the reliability of the FEM simulations regarding this topic, various indices of fitness have been proposed [6]- [12], but the problem of the precision required does not make this method suitable for performing accurate evaluations of the magnetic field relative to unconventional configurations of electrical machines. Furthermore, the option to increase the FEM meshing has its limits [13], because an excessive discretization greatly increases the computation time and can cause a numerical ill-conditioning that produces errors greater than those associated with a less dense mesh.…”
Section: Introductionmentioning
confidence: 99%
“…The REE and HEE can be applied to the solutions of various FE problems [10], [13], [14], [16]. They are here particularized to the eddy current FE problem in a domain , based on the magnetic vector potential a-formulation [16].…”
Section: Eddy Current Problems and Eesmentioning
confidence: 99%
“…Some are based on heuristic methods [3], [4], [7], evaluating only a part of the error, whereas others are developed from mathematical considerations [1], [5], [7], [13], [16], evaluating the whole error. Among these EEs are: 1) Zienkiewicz and Zhu's EEs, currently used due to their easy implementation [7], [11], [12]; 2) equilibrium EEs based on the verification of constitutive relations, but restricted to statics [5], [14]; 3) residual EE (REE) [13], [14], evaluating all the weakly verified terms in the FE formulations; and 4) hierarchical EE (HEE) [6], [10], evaluating local higher order solutions obtained using hierarchical higher order test functions. A comparison of REE and HEE has shown their equivalent behaviors [16].…”
Section: Introductionmentioning
confidence: 99%