2016
DOI: 10.13182/nse15-102
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Discontinuity Factors for Simplified P3 Theory

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Cited by 11 publications
(3 citation statements)
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“…Homogenization errors for pin computations are the main concern in these approximations, and they have been recently studied for different problems [12,13]. The main issue has been the definition of the discontinuity factors for the SP N approximation in two-or three-dimensional problems [14,15,16,17]. On the other hand, the SP N approximation has been implemented using the finite element method (FEM) for the spatial discretization [18,19,20].…”
Section: Introductionmentioning
confidence: 99%
“…Homogenization errors for pin computations are the main concern in these approximations, and they have been recently studied for different problems [12,13]. The main issue has been the definition of the discontinuity factors for the SP N approximation in two-or three-dimensional problems [14,15,16,17]. On the other hand, the SP N approximation has been implemented using the finite element method (FEM) for the spatial discretization [18,19,20].…”
Section: Introductionmentioning
confidence: 99%
“…We try to reduce the homogenization error using pin-wise homogenization. We use one dimensional geometries because the ambiguity in the definition of the flux discontinuity factors does not exist (Yu, Lu, and Chao, 2014;Yamamoto, Sakamoto, and Endo, 2016). As mentioned before, the one dimensional SP N approximation is equivalent to the complete P N approximation.…”
Section: Homogenization Strategy For Simplified Harmonic Equations (Smentioning
confidence: 99%
“…Homogenization errors for pin computations are the main concern in these approximations, and they have been recently studied for different problems (Kozlowski et al, 2011;Yu, Lu, and Chao, 2014). The main issue has been the definition of the discontinuity factors for the SP N approximation in two-or three-dimensional problems (Yu and Chao, 2015;Chao, 2016b;Chao, 2016a;Yamamoto, Sakamoto, and Endo, 2016). On the other hand, the SP N approximation has been implemented using the finite element method (FEM) for the spatial discretization (Turcksin, Ragusa, and Bangerth, 2010;Ragusa, 2010;Zhang, Ragusa, and Morel, 2013).…”
Section: Introductionmentioning
confidence: 99%