2020
DOI: 10.1016/j.jqsrt.2020.107238
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A second-order maximum-entropy inspired interpolative closure for radiative heat transfer in gray participating media

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Cited by 9 publications
(4 citation statements)
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“…The interpolative closures were developed in the fields of CFD ( [33]) and of radiative transfer ( [32,39,41]). It aimed at reducing the computational costs of the entropy-based closure by using a high order polynomial approximation that interpolates the exact entropy-minimizing closure at specific locations in the realizability domain.…”
Section: Interpolative Closuresmentioning
confidence: 99%
“…The interpolative closures were developed in the fields of CFD ( [33]) and of radiative transfer ( [32,39,41]). It aimed at reducing the computational costs of the entropy-based closure by using a high order polynomial approximation that interpolates the exact entropy-minimizing closure at specific locations in the realizability domain.…”
Section: Interpolative Closuresmentioning
confidence: 99%
“…Even if the exact M N approximation does preserve symmetry in the solution, computing it numerically generally requires an approximation (see typically [18,4,3] for efficient techniques) which eventually violates symmetry. Such a closure can also be computed analytically at order 1 ( [13]) or can be approximated up to order 2 ( [29,39,31,41]), but high order multi-D models remain inaccessible.…”
Section: Introductionmentioning
confidence: 99%
“…Those are efficient, but the first fails at modeling beams, the second requires high computational costs due to need to solve large numbers of (potentially ill-conditioned) optimization problems. Those were an inspiration for many other techniques developed in this field, including the simplified models (Frank et al 2007;McClarren 2010), the flux-limited diffusion (Humbird and McClarren 2017;Olson, Auer, and Hall 2000)), the interpolative methods (Li and Li 2020;Pichard et al 2017;Sarr and Groth 2020) and others (see e.g. Pichard 2020;Schneider 2016).…”
Section: Introductionmentioning
confidence: 99%