2011
DOI: 10.2528/pierb11022303
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REDESIGN AND OPTIMIZATION OF THE PAVING ALGORITHM APPLIED TO ELECTROMAGNETIC TOOLS (Invited Paper)

Abstract: Abstract-To study any electromagnetic system, the geometry model must be discretized into elements with an appropriate size for the working frequency. The discretization of a system must be transparent to the user of electromagnetic computing tools. A mesher is presented based on the paving algorithm. The algorithm has been modified to allow triangular elements and has been accelerated by distributing the load on multiple processors simultaneously. Also, a multilevel mode has been implemented. With this tool, … Show more

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Cited by 7 publications
(8 citation statements)
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“…of the MoM coefficient matrix of the system of linear equations given in (3). This convergence pattern is shown with respect to the number of MRW samples per region used in the integration of (7) and (8). Since the functions f j ind (j = 1, .…”
Section: Numerical Resultsmentioning
confidence: 88%
See 3 more Smart Citations
“…of the MoM coefficient matrix of the system of linear equations given in (3). This convergence pattern is shown with respect to the number of MRW samples per region used in the integration of (7) and (8). Since the functions f j ind (j = 1, .…”
Section: Numerical Resultsmentioning
confidence: 88%
“…These results anticipate a CPU time savings when MRW quadrature rules are used instead of DE quadrature rules. In order to compare the CPU time consumption by MRW and DE quadrature rules, the phase curves shown at 29.75 GHz in [17] have been reproduced by MRW and DE quadrature rules in the numerical integration of (7) and (8). The geometrical variables ψ 1 and α used to reproduce results given in [17] are shown in Figure 5 (i.e., these values of the geometrical parameters ψ 1 and α ensure that the required condition of 180 deg of phase difference is satisfied at 29.75 GHz to apply VRT).…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…Although the paving algorithm has been improved by later contributions (White and Kinney, 1995;Kinney, 1997) and successfully applied in various engineering and scientific areas including, for instance, electromagnetics (Moreno et al, 2011), it still sometimes generates meshes containing poor quality elements, and even invalid elements that cannot be improved by its quality improving procedure. This issue is particular critical for online simulations that require dynamical meshing, and must be solved prudently as inferior or invalid elements can cause a meshing failure and thus halt the simulation.…”
Section: Introductionmentioning
confidence: 99%