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2015
DOI: 10.1109/tmag.2014.2352553
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Finite Element Mesh Adaptation Strategy From Residual and Hierarchical Error Estimators in Eddy Current Problems

Abstract: A strategy of mesh adaptation in eddy current finite element modeling is developed from both residual and hierarchical error estimators. Wished distributions of element sizes of adapted meshes are determined from the element-wise local contributions to the estimators and define constraints for the mesh generator. Uniform distributions of the local error are searched.Index Terms-Eddy currents, error estimation, finite element (FE) method, mesh adaptation.

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Cited by 6 publications
(3 citation statements)
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References 18 publications
(27 reference statements)
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“…Traditionally, it can be achieved by iteratively refining the mesh till the error introduced is minimized [22]. The refinement of the unstructured triangles can be done by employing edge bisection [23], point insertion, or by use of templates [24], [25]. These methods suffer from various problems like handling nonconformity, treatment of surrounding elements, generation of redundant elements, and over-refinement which leads to strict the Courant-Friedrichs-Lewy (CFL) condition in time-domain simulations [22].…”
Section: Accounting For Smart-mesh Strategymentioning
confidence: 99%
“…Traditionally, it can be achieved by iteratively refining the mesh till the error introduced is minimized [22]. The refinement of the unstructured triangles can be done by employing edge bisection [23], point insertion, or by use of templates [24], [25]. These methods suffer from various problems like handling nonconformity, treatment of surrounding elements, generation of redundant elements, and over-refinement which leads to strict the Courant-Friedrichs-Lewy (CFL) condition in time-domain simulations [22].…”
Section: Accounting For Smart-mesh Strategymentioning
confidence: 99%
“…Two error estimators have been presented for the MSFEM in the past, one based on hierarchical finite element spaces [5], based on the theory presented in [6] and [7], and one using flux equilibration [8], similar to this paper. However, both of them estimated only the error of the discrete MSFEM solution with respect to the continuous MSFEM solution.…”
Section: Introductionmentioning
confidence: 99%
“…The others, based on a posteriori analysis, verify the quality of the obtained numerical solution. These a posteriori error estimators can be decomposed into three families: equilibrated error estimators (EEE) (Rikabi et al, 1988;Remacle et al, 1996;Marmin et al, 1998), hierarchical error estimators (HEE) (Dular, 2009;Dular et al, 2014) and residual error estimators (REE), (Beck et al, 2000;Nicaise and Creusé, 2003). With the EEE, it is possible to get a map of the local error directly linked to the exact solution (Tang et al, 2013b).…”
Section: Introductionmentioning
confidence: 99%