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An?lise da formula??o em Monte Carlo dos pacotes de energia multiespectrais aplicada a meios constitu?dos por vapor d'?gua / An analysis of the Monte Carlo multi-espectral energy bundles formulation applied to media constituted of water vaporBezerra, Yuri Shalom de Freitas 30 August 2014 (has links)
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Previous issue date: 2014-08-30 / O m?todo de Monte Carlo ? preciso e, quando comparado com outras t?cnicas num?ricas, ? de relativamente f?cil implementa??o para a solu??o de problemas envolvendo geometrias complexas e espalhamento anisotr?pico da radia??o. Al?m disso, diferentemente do que ocorre para a maioria das t?cnicas num?ricas, cujo tempo necess?rio para a execu??o de simula??es tende a crescer exponencialmente ? medida que a complexidade do problema aumenta, no Monte Carlo, o aumento no tempo computacional tende a ser linear. Ainda assim, as solu??es em Monte Carlo s?o computacionalmente pesadas para a solu??o da maioria dos problemas de interesse. O modelo dos Pacotes de Energia Multiespectrais permite a redu??o dos tempos computacionais associados ?s solu??es atrav?s do m?todo de Monte Carlo. O modelo ? aqui analisado para aplica??es em meios constitu?dos por esp?cies n?o-participantes e vapor d??gua, que ? um importante emissor de radia??o formado na combust?o de hidrocarbonetos. Aspectos relacionados ? otimiza??o dos tempos computacionais s?o investigados e solu??es obtidas com o modelo s?o comparadas com solu??es linha-por-linha benchmark. / The Monte Carlo method is accurate and is relatively simple to implement for the
solution of problems involving complex geometries and anisotropic scattering of radiation as
compared with other numerical techniques. In addition, differently of what happens for most
of numerical techniques, for which the associated simulations computational time tends to
increase exponentially with the complexity of the problems, in the Monte Carlo the increase
of the computational time tends to be linear. Nevertheless, the Monte Carlo solution is highly
computer time consuming for most of the interest problems. The Multispectral Energy Bundle
model allows the reduction of the computational time associated to the Monte Carlo solution.
The referred model is here analyzed for applications in media constituted for nonparticipating
species and water vapor, which is an important emitting species formed during
the combustion of hydrocarbon fuels. Aspects related to computer time optimization are
investigated the model solutions are compared with benchmark line-by-line solutions
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