https://doi.org/10.1051/epjconf/202430216005
Simulation of the DD, TT and DT JET Neutron Streaming Experiments with TRIPOLI-4® Monte-Carlo code
Université Paris-Saclay, CEA, Service d’étude des réacteurs et de mathématiques appliquées, 91191 Gif-sur-Yvette, France
* Corresponding author: jean-baptiste.PONTIER@cea.fr
† Corresponding author: johan.CUFE@cea.fr
‡ Corresponding author: thibault.MOULIGNIER@cea.fr
§ See the author list of “Overview of T and D-T results in JET with ITER-like wall” by CF Maggi et al., Nuclear Fusion Special Issue: Overview and Summary Papers from the 29th Fusion Energy Conference (London, UK, 16-21 October 2023)
Published online: 15 October 2024
The DD, TT and DT neutron streaming experiments (NEXP-STRE) in the fusion facility JET are here simulated with TRIPOLI-4® Monte-Carlo code. Specifically, we present the results from the simulation of the DD (2019) and the later TT and DT (2021) campaigns. The last version of TRIPOLI-4® code, developed by CEA, is provided with an innovative variance reduction technique based on the adaptive multi-level splitting (AMS) methodology for particle transport which ensures reliable results in very detailed, complex and vast geometry. Furthermore, a specific tool, developed by CEA, is used to automatically convert MCNP geometry into TRIPOLI-4® geometry format, which allows to perform fast and reliable comparisons between the results obtained by the mean of both calculation tools. The JET 360° MCNP model is used as a basis for creating the TRIPOLI-4® geometry. The neutron flux and doses in thermoluminescent detectors (TLDs) and reaction rates in activation foil (AF) detectors are computed for various positions in the experimental hall. A comparison of our results with the experimental values (2019 DD - 2021 TT campaigns) and the MCNP computed values (all campaigns) is presented. The AMS results crucial for obtaining statistically reliable quantities with TRIPOLI-4® code.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.