A new methodology for the treatment of Monte-Carlo vs. experimental data
Palavras-chave:
gamma ray densitometry, volume fraction, MCNP codeResumo
This work will be performed as part of a doctoral thesis. Its objective is the development of a methodology based on gamma ray densitometry techniques and artificial neural networks to predict volume fractions in multiphase flows with the support of computational fluid-dynamics (CFD) and MCNP-X code.Referências
PELOWITZ, D. B. MCNP-X TM User’s Manual. Version 2.5.0. New Mexico: Los Alamos National Laboratory Report, 2005. Não paginado.
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Publicado
2021-07-08
Como Citar
Affonso, R. R. W., da Silva, A. X., & Salgado, C. M. (2021). A new methodology for the treatment of Monte-Carlo vs. experimental data. Instituto De Engenharia Nuclear: Progress Report, (3), 12. Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/311
Edição
Seção
Application of Nuclear Techniques in Health and Environment
Licença
Copyright (c) 2018 Renato R. W. Affonso, Ademir Xavier da Silva, César Marques Salgado
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