ML25098A009
| ML25098A009 | |
| Person / Time | |
|---|---|
| Issue date: | 04/08/2025 |
| From: | Sarah Shaffer NRC/RES/PMDA |
| To: | |
| References | |
| 313310020M0006 | |
| Download: ML25098A009 (1) | |
Text
1 UNITED STATES NUCLEAR REGULATORY COMMISSION WASHINGTON, D.C. 20555-0001 Grant # 31310020M0006 Grantee: Rensselaer Polytechnic Institute Title of Grant: Development of a Modular Paradigm to Enhance Monte Carlo Neutronics for NRC Comprehensive Reactor Analysis Bundle (CRAB)
Period of Performance: 9/25/2020-9/24/2023 (FY2020 Notice of Funding Opportunity NOFO)
Executive Summary The objective of the proposed research program is to develop a modular and code-agnostic paradigm to enhance Monte Carlo neutronics capability for NRC Comprehensive Reactor Analysis Bundle (CRAB). Monte Carlo (MC) reactor analysis tools, such as MCNP, a widely used U.S. MC code, can play important roles in nuclear reactor analysis by providing required few-group cross section data or providing reference solutions to benchmark routine analysis tools. Built upon existing efforts of developing a user-friendly environment (editor services with syntactic validation) to prepare MCNP models, we propose to develop a general model-driven software interface (with semantic validation capabilities) for the use of MCNP and more importantly, implement the reactor model translation between MCNP and other tools in CRAB.
Thus, NRC regulators can easily deploy MCNP (with minimum learning curve) and convert existing MCNP models of advanced reactor designs to other regulatory tools for licensing evaluations. The project will ultimately improve NRCs future capabilities and organizational effectiveness for analysis and evaluation of emerging or anticipated reactor and fuel cycle technologies.
Principal Investigator: Dr. Wei Ji, jiw2@rpi.edu Presentations and Publications The list of publications was submitted with the final report after grant expiration.
2 Patents N/A