2008
DOI: 10.1016/j.anucene.2007.10.008
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Generalized Runge–Kutta method for two- and three-dimensional space–time diffusion equations with a variable time step

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Cited by 33 publications
(11 citation statements)
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“…A homogeneous reactor (referenced in Nahla et al, 2012a) and a heterogeneous one (3D-TWIGL, referenced in Aboanber and Hamada, 2008).…”
Section: Computational Results and Analysismentioning
confidence: 99%
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“…A homogeneous reactor (referenced in Nahla et al, 2012a) and a heterogeneous one (3D-TWIGL, referenced in Aboanber and Hamada, 2008).…”
Section: Computational Results and Analysismentioning
confidence: 99%
“…Table 3 shows the results of the K eff calculation for the 3D-TWIGL reactor using the FDMs algorithm for 8 (20 Â 20 Â 20), 4 (40 Â 40 Â 40), and 2 (80 Â 80 Â 80 cells) cm-mesh size in all directions along with the results of LAPe, LAPc, TGRK (Aboanber and Hamada, 2008), and FESTRAN (Jagannathan, 1985, referenced in Aboanber andHamada, 2008). Note that the results of FDMs are approaching the results of LAPc and FESTRAN.…”
Section: Steady State Calculationsmentioning
confidence: 99%
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“…There have been many recent studies on the numerical solution of the time dependent diffusion equation and they use new techniques such as heatlets [1], generalized Runge-Kutta method [2], a finite difference method with the stability improved [3], and a meshless solution [4]. Also, there are many studies using the finite element method based on the Galerkin's algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…However it is only second-order accurate. On the other hand, multistep methods, such as the Runge-Kutta methods, render higher accuracy as well as a provision for adaptive step size control 3 . They are not, however, practical in realistic transient calculations involving thermal-hydraulic feedback because they require multiple evaluations of solution parameters within a time step.…”
Section: Introductionmentioning
confidence: 99%