A new methodology for the treatment of Monte-Carlo vs. experimental data

Authors

  • Renato R. W. Affonso UFRJ (COPPE)/IEN
  • Ademir Xavier da Silva UFRJ (COPPE)
  • César Marques Salgado Instituto de Engenharia Nuclear

Keywords:

gamma ray densitometry, volume fraction, MCNP code

Abstract

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.

Author Biography

César Marques Salgado, Instituto de Engenharia Nuclear

DIRA

References

PELOWITZ, D. B. MCNP-X TM User’s Manual. Version 2.5.0. New Mexico: Los Alamos National Laboratory Report, 2005. Não paginado.

Capa Progress Report 2015-2017

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Published

2021-07-08

How to Cite

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. Retrieved from https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/311

Issue

No. 3 (2018): IEN - Progress Report 2015-2017 n.3

Section

Application of Nuclear Techniques in Health and Environment

License

Copyright (c) 2018 Renato R. W. Affonso, Ademir Xavier da Silva, César Marques Salgado

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.