DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems

Abstract

An integrated multi-physics simulation capability for the design and analysis of current and future nuclear reactor models is being investigated, to tightly couple neutron transport and thermal-hydraulics physics under the SHARP framework. Over several years, high-fidelity, validated mono-physics solvers with proven scalability on petascale architectures have been developed independently. Based on a unified component-based architecture, these existing codes can be coupled with a mesh-data backplane and a flexible coupling-strategy-based driver suite to produce a viable tool for analysts. The goal of the SHARP framework is to perform fully resolved coupled physics analysis of a reactor on heterogeneous geometry, in order to reduce the overall numerical uncertainty while leveraging available computational resources. Finally, the coupling methodology and software interfaces of the framework are presented, along with verification studies on two representative fast sodium-cooled reactor demonstration problems to prove the usability of the SHARP framework.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC); USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1395985
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences
Additional Journal Information:
Journal Volume: 372; Journal Issue: 2021; Journal ID: ISSN 1364-503X
Publisher:
The Royal Society Publishing
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; 42 ENGINEERING; code coupling; multi-physics; reactor analysis

Citation Formats

Mahadevan, Vijay S., Merzari, Elia, Tautges, Timothy, Jain, Rajeev, Obabko, Aleksandr, Smith, Michael, and Fischer, Paul. High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems. United States: N. p., 2014. Web. doi:10.1098/rsta.2013.0381.
Mahadevan, Vijay S., Merzari, Elia, Tautges, Timothy, Jain, Rajeev, Obabko, Aleksandr, Smith, Michael, & Fischer, Paul. High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems. United States. https://doi.org/10.1098/rsta.2013.0381
Mahadevan, Vijay S., Merzari, Elia, Tautges, Timothy, Jain, Rajeev, Obabko, Aleksandr, Smith, Michael, and Fischer, Paul. Mon . "High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems". United States. https://doi.org/10.1098/rsta.2013.0381. https://www.osti.gov/servlets/purl/1395985.
@article{osti_1395985,
title = {High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems},
author = {Mahadevan, Vijay S. and Merzari, Elia and Tautges, Timothy and Jain, Rajeev and Obabko, Aleksandr and Smith, Michael and Fischer, Paul},
abstractNote = {An integrated multi-physics simulation capability for the design and analysis of current and future nuclear reactor models is being investigated, to tightly couple neutron transport and thermal-hydraulics physics under the SHARP framework. Over several years, high-fidelity, validated mono-physics solvers with proven scalability on petascale architectures have been developed independently. Based on a unified component-based architecture, these existing codes can be coupled with a mesh-data backplane and a flexible coupling-strategy-based driver suite to produce a viable tool for analysts. The goal of the SHARP framework is to perform fully resolved coupled physics analysis of a reactor on heterogeneous geometry, in order to reduce the overall numerical uncertainty while leveraging available computational resources. Finally, the coupling methodology and software interfaces of the framework are presented, along with verification studies on two representative fast sodium-cooled reactor demonstration problems to prove the usability of the SHARP framework.},
doi = {10.1098/rsta.2013.0381},
journal = {Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences},
number = 2021,
volume = 372,
place = {United States},
year = {Mon Jun 30 00:00:00 EDT 2014},
month = {Mon Jun 30 00:00:00 EDT 2014}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 23 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

NURESIM – A European simulation platform for nuclear reactor safety: Multi-scale and multi-physics calculations, sensitivity and uncertainty analysis
journal, September 2011


Scalable parallel solution coupling for multiphysics reactor simulation
journal, July 2009


Parallel spectral element solution of the stokes problem
journal, February 1991


Studies on the accuracy of time-integration methods for the radiation–diffusion equations
journal, April 2004


Common-refinement-based data transfer between non-matching meshes in multiphysics simulations
journal, January 2004

  • Jiao, Xiangmin; Heath, Michael T.
  • International Journal for Numerical Methods in Engineering, Vol. 61, Issue 14
  • DOI: 10.1002/nme.1147

Even-parity finite-element transport methods in the diffusion limit
journal, January 1991


A comparison of implicit time integration methods for nonlinear relaxation and diffusion
journal, May 2004


On the Construction and Comparison of Difference Schemes
journal, September 1968

  • Strang, Gilbert
  • SIAM Journal on Numerical Analysis, Vol. 5, Issue 3
  • DOI: 10.1137/0705041

A verification exercise in multiphysics simulations for coupled reactor physics calculations
journal, March 2012


A spectral element method for fluid dynamics: Laminar flow in a channel expansion
journal, June 1984


An Overlapping Schwarz Method for Spectral Element Solution of the Incompressible Navier–Stokes Equations
journal, May 1997


The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models
journal, August 2005

  • Larson, Jay; Jacob, Robert; Ong, Everest
  • The International Journal of High Performance Computing Applications, Vol. 19, Issue 3
  • DOI: 10.1177/1094342005056115

Multiphysics simulations: Challenges and opportunities
journal, February 2013

  • Keyes, David E.; McInnes, Lois C.; Woodward, Carol
  • The International Journal of High Performance Computing Applications, Vol. 27, Issue 1
  • DOI: 10.1177/1094342012468181

Validation of coupled neutronic/thermal-hydraulic code RELAP5-3D for RBMK-1500 reactor analysis application
journal, October 2004


Jacobian-free Newton–Krylov methods: a survey of approaches and applications
journal, January 2004


Fine-mesh deterministic modeling of PWR fuel assemblies: Proof-of-principle of coupled neutronic/thermal–hydraulic calculations
journal, June 2014


On balanced approximations for time integration of multiple time scale systems
journal, March 2003


Application of TRACE/PARCS to BWR stability analysis
journal, April 2009


MOOSE: A parallel computational framework for coupled systems of nonlinear equations
journal, October 2009


On the Theory of the Splitting-Up Method
book, January 1971


MOAB: a mesh-oriented database.
report, April 2004


Efficient Management of Parallelism in Object-Oriented Numerical Software Libraries
book, January 1997

  • Balay, Satish; Gropp, William D.; McInnes, Lois Curfman
  • Modern Software Tools for Scientific Computing
  • DOI: 10.1007/978-1-4612-1986-6_8

SHARP Assembly-Scale Multiphysics Demonstration Simulations.
report, October 2013


Common-refinement-based data transfer between non-matching meshes in multiphysics simulations
journal, January 2004

  • Jiao, Xiangmin; Heath, Michael T.
  • International Journal for Numerical Methods in Engineering, Vol. 61, Issue 14
  • DOI: 10.1002/nme.1147

Efficient removal of boundary-divergence errors in time-splitting methods
journal, September 1989

  • Tomboulides, A. G.; Israeli, M.; Karniadakis, G. E.
  • Journal of Scientific Computing, Vol. 4, Issue 3
  • DOI: 10.1007/bf01061059

A spectral element method for fluid dynamics: Laminar flow in a channel expansion
journal, June 1984


Parallel spectral element solution of the stokes problem
journal, February 1991


Application of TRACE/PARCS to BWR stability analysis
journal, April 2009


Fine-mesh deterministic modeling of PWR fuel assemblies: Proof-of-principle of coupled neutronic/thermal–hydraulic calculations
journal, June 2014


Jacobian-free Newton–Krylov methods: a survey of approaches and applications
journal, January 2004


A comparison of implicit time integration methods for nonlinear relaxation and diffusion
journal, May 2004


MOOSE: A parallel computational framework for coupled systems of nonlinear equations
journal, October 2009


A verification exercise in multiphysics simulations for coupled reactor physics calculations
journal, March 2012


Prediction properties of Aitken's iterated Δ2 process, of Wynn's epsilon algorithm, and of Brezinski's iterated theta algorithm
journal, October 2000


Enabling high-fidelity neutron transport simulations on petascale architectures
conference, January 2009

  • Kaushik, Dinesh; Smith, Micheal; Wollaber, Allan
  • Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis - SC '09
  • DOI: 10.1145/1654059.1654128

The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models
journal, August 2005

  • Larson, Jay; Jacob, Robert; Ong, Everest
  • The International Journal of High Performance Computing Applications, Vol. 19, Issue 3
  • DOI: 10.1177/1094342005056115

Multiphysics simulations: Challenges and opportunities
journal, February 2013

  • Keyes, David E.; McInnes, Lois C.; Woodward, Carol
  • The International Journal of High Performance Computing Applications, Vol. 27, Issue 1
  • DOI: 10.1177/1094342012468181

Works referencing / citing this record:

A computational framework for scale-bridging in multi-scale simulations: A COMPUTATIONAL FRAMEWORK FOR SCALE-BRIDGING
journal, May 2016

  • Knap, J.; Spear, C.; Leiter, K.
  • International Journal for Numerical Methods in Engineering, Vol. 108, Issue 13
  • DOI: 10.1002/nme.5270

Advancing a distributed multi-scale computing framework for large-scale high-throughput discovery in materials science
journal, October 2015