@inproceedings{e20b5a759059415e99f5c34bcea61a1f,
title = "Serpent - BISON - THM Preliminary Multiphysics Modeling of a Nuclear Thermal Propulsion System Fuel Assembly",
abstract = "A high-fidelity framework coupling the Serpent Monte Carlo (MC) code with MOOSE-based tools was developed to rank the importance of feedback mechanisms on the multiphysics solution of an NTP fuel assembly. The study identified the fuel temperature coefficient as the most significant feedback mechanism, followed by hydrogen density changes both in channels and stagnant gaps, monolith temperature feedback, and structural material effects. The impact of neglecting specific feedback mechanisms in multiphysics simulations was also evaluated. Results showed that accurately capturing the fuel temperature feedback is essential for obtaining a physical system response, with a deviation of 695 pcm in effective multiplication factor observed when this feedback is omitted. Smaller deviations, on the order of tens of per cent mile (pcm), were noted when excluding moderator and coolant temperature feedback mechanisms.",
author = "Isaac Naupa and Stefano Terlizzi and Mark DeHart",
note = "Publisher Copyright: {\textcopyright} 2025 AMERICAN NUCLEAR SOCIETY, INCORPORATED, WESTMONT, ILLINOIS 60559; 2025 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025 ; Conference date: 27-04-2025 Through 30-04-2025",
year = "2025",
doi = "10.13182/MC25-47537",
language = "English (US)",
series = "Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025",
publisher = "American Nuclear Society",
pages = "1301--1310",
booktitle = "Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025",
address = "United States",
}