Analysis of the multi‐spectral energy bundle method: fnding the number of sub‐bundles for the minimum computational time

Maurente, André Jesus Soares; Negócio, Denis Alexandre de Rubim Costa

Analysis of the multi‐spectral energy bundle method: fnding the number of sub‐bundles for the minimum computational time

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dc.contributor.author	Maurente, André Jesus Soares
dc.contributor.author	Negócio, Denis Alexandre de Rubim Costa
dc.date.accessioned	2021-03-11T20:58:19Z
dc.date.available	2021-03-11T20:58:19Z
dc.date.issued	2017-03-30
dc.description.resumo	The multi-spectral energy bundle (MSB) is a method proposed to reduce the computational time of Monte Carlo simulations in media with spectrally dependent properties. In this method the typical energy bundles of the Monte Carlo are treated as multi-spectral by assuming that they are composed of a set of monochromatic subbundles. The number of sub-bundles in each bundle affects the computational time in such a way that there exists an optimum number of sub-bundles that leads to the minimum time for the computation. However, due to the stochastic nature of the Monte Carlo, the optimum number of sub-bundles is not easy to be exactly found. This paper proposes a methodology which allows to accurately determine the number of sub-bundles for the minimum computational time, and apply the proposed methodology to 25 cases consisting of a onedimensional slab of gas composed of H2 O and non-emitting/absorbing species, where the FSK was used to consider spectral dependence of properties. The results showed that for the majority of the considered cases, 3 sub-bundles lead to either the minimum or a computational time quite close to the minimum, and always provides reduction of computational time. Thus, 3 sub-bundles is indicated for the analyzed class of problems	pt_BR
dc.identifier.citation	NEGÓCIO, Denis A. R. C.; MAURENTE, André. Analysis of the multi-spectral energy bundle method: finding the number of sub-bundles for the minimum computational time. Journal of The Brazilian Society of Mechanical Sciences and Engineering, [S.L.], v. 39, n. 6, p. 2331-2339, 30 mar. 2017. Disponível em: https://link.springer.com/article/10.1007/s40430-017-0766-0. Acesso em: 22 out. 2020. http://dx.doi.org/10.1007/s40430-017-0766-0.	pt_BR
dc.identifier.doi	10.1007/s40430-017-0766-0
dc.identifier.issn	1806-3691
dc.identifier.issn	1678-5878
dc.identifier.uri	https://repositorio.ufrn.br/handle/123456789/31815
dc.language	en	pt_BR
dc.publisher	Springer	pt_BR
dc.rights	Attribution 3.0 Brazil	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/br/	*
dc.subject	Thermal radiation	pt_BR
dc.subject	Participating gases	pt_BR
dc.subject	Monte Carlo simulation	pt_BR
dc.subject	Multi-spectral energy bundle method	pt_BR
dc.title	Analysis of the multi‐spectral energy bundle method: fnding the number of sub‐bundles for the minimum computational time	pt_BR
dc.type	article	pt_BR