2014SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|Number of page(s)||5|
|Section||3. Monte Carlo Methods for Simulation: e. Advanced Monte Carlo Capabilities|
|Published online||06 June 2014|
PNS and statistical experiments simulation in subcritical systems using Monte-Carlo method on example of Yalina-Thermal assembly
1 Joint Institute for Power and Nuclear Research - Sosny National Academy of Sciences of Belarus, 99 acad. Krasin str., Minsk 220109, Belarus
2 Nuclear Engineering Division, Argonne National Laboratory 9700 South Cass Avenue, Argonne, IL 60439, USA
* Corresponding Author, E-mail: firstname.lastname@example.org
In subcritical systems driven by an external neutron source, the experimental methods based on pulsed neutron source and statistical techniques play an important role for reactivity measurement. Simulation of these methods is very time-consumed procedure. For simulations in Monte-Carlo programs several improvements for neutronic calculations have been made. This paper introduces a new method for simulation PNS and statistical measurements. In this method all events occurred in the detector during simulation are stored in a file using PTRAC feature in the MCNP. After that with a special code (or post-processing) PNS and statistical methods can be simulated. Additionally different shapes of neutron pulses and its lengths as well as dead time of detectors can be included into simulation.
The methods described above were tested on subcritical assembly Yalina-Thermal, located in Joint Institute for Power and Nuclear Research SOSNY, Minsk, Belarus. A good agreement between experimental and simulated results was shown.
Key words: Monte-Carlo / PNS-method / ADS / Alpha-Feynman / Alpha-Rossi
© Owned by the authors, published by EDP Sciences, 2014