2001
DOI: 10.1109/20.952647
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Optimal discretization based adaptive finite element analysis for electromagnetics with vector tetrahedra

Abstract: Abstract-Efficient functional derivative formulas suitable for optimal discretization based refinement criteria are developed for 3-D adaptive finite element analysis (FEA) with vector tetrahedra. Results for generalized vector Helmholtz systems are derived directly from first principles, and confirmed numerically through fundamental benchmark evaluations. Practical adaption applications are illustrated for selected FEA refinement models.Index Terms-Adaptive systems, electromagnetic analysis, error analysis, f… Show more

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Cited by 4 publications
(40 citation statements)
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“…More recently, a number of extended variations of the grading function approach, designed for 2-D, 3-D, and even approximation problems, were reported in References [36; 38-40]. Overall, the most promising of these contributions were subsequently found to be potentially unreliable, or at best inconclusive, for practical ÿnite element applications [44]. Finally, two other EP methods were proposed in References [29; 41].…”
Section: Foundational Supportmentioning
confidence: 99%
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“…More recently, a number of extended variations of the grading function approach, designed for 2-D, 3-D, and even approximation problems, were reported in References [36; 38-40]. Overall, the most promising of these contributions were subsequently found to be potentially unreliable, or at best inconclusive, for practical ÿnite element applications [44]. Finally, two other EP methods were proposed in References [29; 41].…”
Section: Foundational Supportmentioning
confidence: 99%
“…The counterparts of the optimization equations derived for 1-D systems may be developed in a common form for 2-D and 3-D simplex elements. However, while the principal steps of the development are the same, the speciÿcs of their implementation can be substantially di erent, and in some instances considerably more complex for the 3-D case [44]. Consequently, the more general 3-D case is considered ÿrst, followed by a brief explanation for extracting the corresponding 2-D equations.…”
Section: -D and 3-d Systemsmentioning
confidence: 99%
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