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Title: Predicting Large Deflections of Multiplate Fuel Elements Using a Monolithic FSI Approach

Abstract

As part of the Global Threat Reduction Initiative, the Oak Ridge National Laboratory is evaluating conversion of fuel for the High Flux Isotope Reactor (HFIR) from high-enriched uranium to low-enriched uranium. Currently, multiphysics simulations that model fluid-structure interaction phenomena are being performed to ensure the safety of the reactor with the new fuel type. A monolithic solver that fully couples fluid and structural dynamics is used to model deflections in the new design. A classical experiment is chosen to validate the capabilities of the current solver and the method. Here, a single-plate simulation with various boundary conditions as well as a five-plate simulation are presented. Finally, use of the monolithic solver provides stable solutions for the large deflections and the tight coupling of the fluid and structure and the maximum deflections are captured accurately.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering Division; Univ. of Tennessee, Knoxville, TN (United States). Dept. of Mechanical, Aerospace & Biomedical Engineering
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Research Reactors Division
  3. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Mechanical, Aerospace & Biomedical Engineering
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
OSTI Identifier:
1423107
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Nuclear Science and Engineering
Additional Journal Information:
Journal Volume: 189; Journal Issue: 1; Journal ID: ISSN 0029-5639
Publisher:
American Nuclear Society - Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; Thermal hydraulics; fluid-structure interaction; high flux isotope reactor

Citation Formats

Curtis, Franklin G., Freels, James D., and Ekici, Kivanc. Predicting Large Deflections of Multiplate Fuel Elements Using a Monolithic FSI Approach. United States: N. p., 2017. Web. doi:10.1080/00295639.2017.1379304.
Curtis, Franklin G., Freels, James D., & Ekici, Kivanc. Predicting Large Deflections of Multiplate Fuel Elements Using a Monolithic FSI Approach. United States. doi:10.1080/00295639.2017.1379304.
Curtis, Franklin G., Freels, James D., and Ekici, Kivanc. Thu . "Predicting Large Deflections of Multiplate Fuel Elements Using a Monolithic FSI Approach". United States. doi:10.1080/00295639.2017.1379304.
@article{osti_1423107,
title = {Predicting Large Deflections of Multiplate Fuel Elements Using a Monolithic FSI Approach},
author = {Curtis, Franklin G. and Freels, James D. and Ekici, Kivanc},
abstractNote = {As part of the Global Threat Reduction Initiative, the Oak Ridge National Laboratory is evaluating conversion of fuel for the High Flux Isotope Reactor (HFIR) from high-enriched uranium to low-enriched uranium. Currently, multiphysics simulations that model fluid-structure interaction phenomena are being performed to ensure the safety of the reactor with the new fuel type. A monolithic solver that fully couples fluid and structural dynamics is used to model deflections in the new design. A classical experiment is chosen to validate the capabilities of the current solver and the method. Here, a single-plate simulation with various boundary conditions as well as a five-plate simulation are presented. Finally, use of the monolithic solver provides stable solutions for the large deflections and the tight coupling of the fluid and structure and the maximum deflections are captured accurately.},
doi = {10.1080/00295639.2017.1379304},
journal = {Nuclear Science and Engineering},
number = 1,
volume = 189,
place = {United States},
year = {Thu Oct 26 00:00:00 EDT 2017},
month = {Thu Oct 26 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on October 26, 2018
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