Abstract
Many spatially complex fission, fusion, and national security Monte Carlo (MC) radiation transport scenarios involve combining computer-aided design (CAD) models with constructive solid geometry (CSG) models. A layered geometry method has been implemented in the Shift MC code to address this need. With layered geometry, multiple CAD and/or CSG models can be clipped, translated, rotated, and placed in overlapping layers to form transport-ready geometries. The utility of this method is demonstrated with two problems: (1) a fixed-source simulation with a layered geometry consisting of a LiDAR-generated CAD model of the Combined Arms Collective Training Facility urban environment overlaid with CSG models of a mock hotel and a detector apparatus, and (2) a k-eigenvalue calculation using a layered geometry model of the Transformational Challenge Reactor consisting of CAD fuel elements placed in a CSG core. Tallied particle flux distributions match expectations, but tracking robustness must be improved prior to general-purpose use.
Original language | English |
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Article number | 109569 |
Journal | Annals of Nuclear Energy |
Volume | 181 |
DOIs | |
State | Published - Feb 2023 |
Funding
The authors would like to thank Douglas Peplow for his help with the models used in the CACTF problem in Section 4 . This work was supported by the Laboratory Directed Research and Development (LDRD) program of Oak Ridge National Laboratory , which is managed and operated by UT-Battelle LLC for the US Department of Energy (DOE) under contract no. DEAC05-00OR22725 .
Funders | Funder number |
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U.S. Department of Energy | DEAC05-00OR22725 |
Oak Ridge National Laboratory | |
UT-Battelle |
Keywords
- CAD geometry
- LiDAR
- Monte Carlo radiation transport