A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design

I. Variansyah; B. R. Betzler; D. Chandler; G. Ilas; W. R. Martin

A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design

I. Variansyah, B. R. Betzler, D. Chandler, G. Ilas, W. R. Martin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A metaheuristic optimization tool was developed for design optimization studies of a High Flux Isotope Reactor low-enriched uranium core. Low-enriched uranium core design presents a multidimensional, multi-objective optimization problem that requires a systematic approach to avoid arbitrary design decisions. This tool searches this multidimensional design space to generate an optimum design, considering a weighted design performance metric that includes several parameters. The search methods are discussed herein, and the tool is applied to uranium silicide fuel designs.

Original language	English
Title of host publication	International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
Publisher	American Nuclear Society
Pages	2795-2805
Number of pages	11
ISBN (Electronic)	9780894487699
State	Published - 2019
Event	2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 - Portland, United States Duration: Aug 25 2019 → Aug 29 2019

Publication series

Name	International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019

Conference

Conference	2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019
Country/Territory	United States
City	Portland
Period	08/25/19 → 08/29/19

Funding

Funding for this work was provided by the US Department of Energy’s National Nuclear Security Administration Office of Material Management and Minimization. Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains 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).

Funders	Funder number
National Nuclear Security Administration Office of Material Management and Minimization
U.S. Department of Energy

Keywords

Design
Optimization
Research reactor

Cite this

Variansyah, I., Betzler, B. R., Chandler, D., Ilas, G., & Martin, W. R. (2019). A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design. In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 (pp. 2795-2805). (International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019). American Nuclear Society.

Variansyah, I. ; Betzler, B. R. ; Chandler, D. et al. / A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019. American Nuclear Society, 2019. pp. 2795-2805 (International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019).

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abstract = "A metaheuristic optimization tool was developed for design optimization studies of a High Flux Isotope Reactor low-enriched uranium core. Low-enriched uranium core design presents a multidimensional, multi-objective optimization problem that requires a systematic approach to avoid arbitrary design decisions. This tool searches this multidimensional design space to generate an optimum design, considering a weighted design performance metric that includes several parameters. The search methods are discussed herein, and the tool is applied to uranium silicide fuel designs.",

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Variansyah, I, Betzler, BR, Chandler, D , Ilas, G & Martin, WR 2019, A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design. in International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019, American Nuclear Society, pp. 2795-2805, 2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019, Portland, United States, 08/25/19.

A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design. / Variansyah, I.; Betzler, B. R.; Chandler, D. et al.
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019. American Nuclear Society, 2019. p. 2795-2805 (International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Variansyah I, Betzler BR, Chandler D , Ilas G, Martin WR. A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design. In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019. American Nuclear Society. 2019. p. 2795-2805. (International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019).

A metaheuristic optimization tool for high flux isotope reactor low-enriched uranium core design

Abstract

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Keywords

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