Validation of the MS-CADIS Method for Full-Scale Shutdown Dose Rate Analysis

Stephen C. Wilson; Scott W. Mosher; Katherine E. Royston; Charles R. Daily; Ahmad M. Ibrahim

doi:10.1080/15361055.2018.1483687

Validation of the MS-CADIS Method for Full-Scale Shutdown Dose Rate Analysis

Stephen C. Wilson, Scott W. Mosher, Katherine E. Royston, Charles R. Daily, Ahmad M. Ibrahim

HPC Methods for Nuclear Applications

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

Fusion energy systems present increasingly significant computational challenges as they grow in size and complexity. Once constructed, ITER will be a full-size nuclear facility with highly complicated structures and support systems, with an array of scientific equipment in close proximity to the neutron-emitting deuterium-tritium plasma. Characterization of shutdown dose rate (SDDR) distributions caused by the neutron activation of these structures is important to the final design and full-power operation of the device. This work summarizes the theoretical basis and parallel implementation of the Multi-Step Consistent Adjoint-Driven Importance Sampling (MS-CADIS) method designed specifically for highly efficient execution of multistep activation problems. Fusion SDDR benchmark problems have been solved with these new tools, and the results have been compared to experimental and other computational results to establish their validation basis.

Original language	English
Pages (from-to)	288-302
Number of pages	15
Journal	Fusion Science and Technology
Volume	74
Issue number	4
DOIs	https://doi.org/10.1080/15361055.2018.1483687
State	Published - Nov 17 2018

Funding

This research was supported with funding from the U. S. ITER domestic agency. Special thanks are owed to Dorothea Wiarda of ORNL for her assistance in processing EAF data for use with AMPX. William Wieselquist of ORNL provided invaluable assistance in applying the ORIGEN API in the parallel MSX framework. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. 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 U.S. 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).

Keywords

Shutdown dose rate
fusion neutronics
variance reduction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/15361055.2018.1483687

Cite this

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abstract = "Fusion energy systems present increasingly significant computational challenges as they grow in size and complexity. Once constructed, ITER will be a full-size nuclear facility with highly complicated structures and support systems, with an array of scientific equipment in close proximity to the neutron-emitting deuterium-tritium plasma. Characterization of shutdown dose rate (SDDR) distributions caused by the neutron activation of these structures is important to the final design and full-power operation of the device. This work summarizes the theoretical basis and parallel implementation of the Multi-Step Consistent Adjoint-Driven Importance Sampling (MS-CADIS) method designed specifically for highly efficient execution of multistep activation problems. Fusion SDDR benchmark problems have been solved with these new tools, and the results have been compared to experimental and other computational results to establish their validation basis.",

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AU - Ibrahim, Ahmad M.

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Validation of the MS-CADIS Method for Full-Scale Shutdown Dose Rate Analysis

Abstract

Funding

Keywords

UN SDGs

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