A Novel Algorithm for CAD to CSG Conversion in McCAD †

Moataz Harb, Dieter Leichtle, Ulrich Fischer

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Modeling and simulation lie at the heart of the design process of any nuclear application. An accurate representation of the radiation environment ensures not only the feasibility of new technologies, but it also aids in operation, maintenance, and even decommissioning. With increasingly complex designs, high-fidelity models have become a necessity for design maturity. McCAD has been under development for many years at Karlsruhe Institute of Technology (KIT) to facilitate the process of generating suitable models for nuclear analyses. In this paper, an overview of the major advances in the new version of the code is presented. A novel conversion algorithm has proven to be robust in significantly reducing the processing time to generate radiation transport models, making it easier to iterate on design details. A first-of-a-kind capability to generate hierarchical void cells is also discussed with preliminary analysis showing performance gains for particle tracking.

Original languageEnglish
Pages (from-to)436-447
Number of pages12
JournalJournal of Nuclear Engineering
Volume4
Issue number2
DOIs
StatePublished - Jun 2023

Funding

This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan (accessed on 10 May 2023)).

Keywords

  • CAD
  • CSG
  • fusion
  • MCNP
  • nuclear analysis

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