Abstract
Three-dimensional computer simulation and virtual reality technology enable the visualization of dose encountered by workers during dismantling operations by using simplified real-time dose computation tools. Such tools generally use a macroscopic approach for gamma dose rate calculation, namely the point kernel integration method with build-up factors. This simplified physical model enhances calculation performance but presents also some restrictions. In contrast, stochastic Monte Carlo methods enable a precise estimation of gamma dose rate, but computing time is prohibitive for real-time dose applications. To speed up the simulation, Monte Carlo codes can be used in combination with variance-reduction techniques, which have to be used very cautiously to stay within their limits of validity. This paper presents a comparison between two variance-reduction techniques implemented in the Monte Carlo code TRIPOLI-4\(\circledR \), the exponential transform and the adaptive multilevel splitting, testing their efficiency in dismantling-like configurations.Both methods behave better in deep penetration problems but require a good amount of user experience in the creation of the importance map. This study shows the need to develop a new type of algorithm capable to tackle configurations where the lack of collisions can limit the efficiency of the current VRT.
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Acknowledgements
The authors warmly thank Yannick Pénéliau, François-Xavier Hugot, Odile Petit, Fausto Malvagi, Cheikh Diop and Jean Michel Létang for their help and their constructive discussions about VR methodologies.
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Guadagni, E., Le Loirec, C. & Mancusi, D. Comparison of variance-reduction techniques for gamma dose rate determination. Eur. Phys. J. Plus 136, 232 (2021). https://doi.org/10.1140/epjp/s13360-021-01196-3
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DOI: https://doi.org/10.1140/epjp/s13360-021-01196-3