MCNP-X code in radioactive particle tracking using artificial neural network for industrial agitators

Autores

  • Roos Sophia de Freitas Dam Instituto de Engenharia Nuclear
  • César Marques Salgado Instituto de Engenharia Nuclear

Palavras-chave:

radioactive particle tracking, MCNP-X code, artificial neural network, NaI(Tl), scintillator detector

Resumo

This report presents a method based on the principles of the Radioactive Particle Tracking (RPT) technique to evaluate industrial agitators. The reconstruction algorithm used is given by a 3-layer feedforward ANN with a backpropagation algorithm to calculate the instantaneous position of the radioactive particle and the geometry was simulated with MCNP-X code.

Biografia do Autor

Roos Sophia de Freitas Dam, Instituto de Engenharia Nuclear

CENS

César Marques Salgado, Instituto de Engenharia Nuclear

DIRA

Referências

CHAOUKI, J.; LARACHI, F.; DUDUKOVIC, P. Radioactive particle tracking in multiphase reactors: principles and applications In: Non-invasive monitoring of multiphase flows. Amsterdam: Eselvier, 1997. p. 335-406.

DAM, R. S. F.; SALGADO C. M. Study of the radioactive particle tracking technique using gamma-ray attenuation and MCNP-X code to evaluate industrial agitators. In: INTERNATIONAL NUCLEAR ATLANTIC CONFERENCE – INAC - MEETING ON NUCLEAR APPLICATIONS, 8., 2017, Belo Horizonte, Anais…Rio de Janeiro: ABEN, 2017. Não paginado.

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Publicado

2021-07-08

Edição

Seção

Application of Nuclear Techniques in Health and Environment