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Universal Approach for ADS Blanket Calculations Using the Monte Carlo Method

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Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications

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Abstract

The universal scheme of Monte Carlo method has been developed for neutronic calculations of ADS blanket.

The new approach can be successfully used for calculations of ADS in a wide range of subcriticality levels. The theoretical substantiation and the results of test problem calculation are given.

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References

  1. I. Slessarev: Accelerator Driven Systems (ADS): A Principal neutronics and transmutation potential. Accelerator Driven Systems: Energy Generation and Transmutation of Nuclear Waste. Status Report. IAEA. Vienna, 1997. IAEA-TECDOC-985

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Author information

Authors and Affiliations

  1. Institute of Physics and Power Engineering, Obninsk, Russia

    V. V. Korobeinikov

Authors
  1. V. V. Korobeinikov
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Editor information

Editors and Affiliations

  1. Instituto Tecnológico e Nuclear, Estrada Nacional no. 10, 2686-953, Sacavém, Portugal

    Andreas Kling

  2. Laboratório de Instrumentação e Partículas, Av. Elias Garcia, 14-1° Rovisco Pais, 1000-149, Lisboa, Portugal

    Fernando J. C. Baräo

  3. Department of Nuclear Energy System, JAERI, Tokai-mura, Naka-gun, 319-1195, Ibaraki-ken, Japan

    Masayuki Nakagawa

  4. Departamento da Física, Universidade de Coimbra, 3004-516, Coimbra, Portugal

    Luis Távora

  5. Departamento de Física, IST, AV. Rovisco Pais, 1049-001, Lisboa, Portugal

    Pedro Vaz

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© 2001 Springer-Verlag Berlin Heidelberg

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Korobeinikov, V.V. (2001). Universal Approach for ADS Blanket Calculations Using the Monte Carlo Method. In: Kling, A., Baräo, F.J.C., Nakagawa, M., Távora, L., Vaz, P. (eds) Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18211-2_135

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  • DOI: https://doi.org/10.1007/978-3-642-18211-2_135

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62113-0

  • Online ISBN: 978-3-642-18211-2

  • eBook Packages: Springer Book Archive

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