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Comparison between codes MCNPX and Gate/Geant4 in volume fraction studies.

Renato Raoni Werneck Affonso¹, Caroline Mattos Barbosa¹, Roos S F Dam¹

¹Universidade Federal do Rio de Janeiro, COPPE/PEN, P.O. Box 68509, 21941-972, Rio de Janeiro, Brazil.

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|August 22, 2020

Summary

This study compares two Monte Carlo codes, MCNP-X and Gate/Geant4, for predicting volume fractions in two-phase water-air flows. The research helps scientists choose the best tool for multiphase flow analysis.

Keywords:

Artificial neural networks Gamma-rays Monte Carlo Volume fractions

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Area of Science:

Multiphase flow dynamics
Computational physics
Nuclear engineering

Background:

Volume fraction is critical for multiphase flow system performance.
Monte Carlo codes are used for modeling such systems.
Researchers need guidance on selecting appropriate Monte Carlo codes for two-phase flow studies.

Purpose of the Study:

To model a biphasic (water and air) stratified flow experiment.
To compare the efficacy of MCNP-X and Gate/Geant4 for volume fraction studies.
To determine which Monte Carlo code offers greater benefits for researchers.

Main Methods:

Modeling a water-air biphasic flow experiment in a stratified regime.
Utilizing two Monte Carlo-based codes: MCNP-X and Gate/Geant4.
Applying artificial neural networks for pulse height distribution recognition to predict volume fractions.

Main Results:

The study provides a comparative analysis of MCNP-X and Gate/Geant4 for volume fraction prediction.
Identifies the benefits and drawbacks of each code for specific research applications.
Offers insights into the accuracy and efficiency of each code in modeling stratified two-phase flows.

Conclusions:

The research assists scientists in selecting the most suitable Monte Carlo code for volume fraction studies in two-phase flows.
Highlights the importance of code selection for accurate multiphase flow analysis.
Contributes to the advancement of computational modeling in fluid dynamics.