2015
DOI: 10.1080/15374416.2015.1052709
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Improved Treatment of Anisotropic Scattering in Radiation Transfer Analysis Using the Finite Volume Method

Abstract: Discretization of the integral anisotropic-scattering term in the equation of radiative transfer will result in two kinds of numerical errors -alterations in scattered energy and asymmetry factor. Though quadrature flexibility with large angular directions and further solid-angle splitting in the finite volume method (FVM) allow for reductionminimization of these errors, computational efficiency is adversely impacted. A phase-function normalization technique to get rid of these errors is simpler and is applie… Show more

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Cited by 10 publications
(13 citation statements)
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“…(11) and (12), and directional symmetry e U l 0 l ¼ e U ll 0 simultaneously. DOM radiation transfer results generated using this normalization technique have been shown to eliminate angular false scattering errors, resulting in accurate conformity to both FVM and Monte Carlo (MC) predictions [40,44].…”
Section: Angular False Scatteringmentioning
confidence: 81%
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“…(11) and (12), and directional symmetry e U l 0 l ¼ e U ll 0 simultaneously. DOM radiation transfer results generated using this normalization technique have been shown to eliminate angular false scattering errors, resulting in accurate conformity to both FVM and Monte Carlo (MC) predictions [40,44].…”
Section: Angular False Scatteringmentioning
confidence: 81%
“…In order to ensure mitigation of angular false scattering in approximate methods, such as the DOM and FVM, it is critical that scattered energy and asymmetry factor are simultaneously conserved after directional discretization. A new phase-function normalization approach developed by the current authors [40] is able to achieve such concurrent conservation, leading to accurate conformity of both DOM [42,43] and FVM [44] ERT solutions with benchmark Monte Carlo predictions.…”
Section: Introductionmentioning
confidence: 92%
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“…A new generation of numerical algorithm belongs to the Finite Volume Method (FVM) [Hunter, B. et al 2016, Shewchuk, J.R. 2002, & Hejazi, H. et al 2014 . Its processes are that divide the solving area into a series of discrete non-overlapping control volume, and make sure each node has a control volume around; integral the differential equation to be solved at each little control volume to derive a set of discrete equations.…”
Section: Instructionmentioning
confidence: 99%