Multi-physics coupling simulation in virtual reactors:
Wang Xianmeng,Wu Mingyu,He Xiao,Wang Zhaoshun,Cai Yinyu,Lu Xu,Guo Suxuan +6 more
- 01 Oct 2021
- Vol. 97, Iss: 10, pp 687-702
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TL;DR: A comparison of the three most frequently used multi-physics coupling strategies: the operator splitting, Picard iteration, and Jacobian-Free Newton–Krylov methods for virtual reactor coupling simulation.
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Abstract: Nuclear power stations involve a range of complex and interacting multi-physical processes. With the rapid development of high-performance computing technology, accurate multi-physics simulation in...
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Citations
The Transport-Burnup Coupling System Between MCMG-II and STEP1.0 for High Fidelity Calculations
Wu Mingyu,Wang Shixi,Yang Yong,Zhang Qiang,Jiayin Yang +4 more
- 29 Jul 2013
TL;DR: In this paper, the three dimension multi-group neutron transport Monte-Carlo program MCMG-II and the multi group point burnup program STEP1.0 based on linear chain method are adopted in the transport-burnup coupling system.
2
Adding a MOAB Geometry Interface to SHARP Structural Mechanics
R M Ferencz,N E Hodge +1 more
- 28 May 2012
TL;DR: An initial data interface between the structural mechanics code Diablo and the SHARP reactor simulation system data hub MOAB has been exercised both to write MOAB databases from Diablo, and then to use such a database to read in part of a simulation definition for a subsequent Diablo execution.
Summary of BISON Development Activities: NEAMS FY14 Report
Richard L. Williamson,Stephen Novascone,Jason Hales,B. W. Spencer,W. Liu,Giovanni Pastore,D. M. Perez,R. J. Gardner,D. S. Stafford,Kyle A. Gamble +9 more
- 01 Oct 2014
TL;DR: In this article, an overview of work performed under the work package entitled “FY2014 NEAMS INL-Engineering Scale Fuel Performance & Interface with RPL Tools.”
References
Jacobian-free Newton-Krylov methods: a survey of approaches and applications
Dana A. Knoll,David E. Keyes +1 more
TL;DR: The aim of this paper is to present the reader with a perspective on how JFNK may be applicable to applications of interest and to provide sources of further practical information.
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MOOSE: A parallel computational framework for coupled systems of nonlinear equations
TL;DR: MOOSE as mentioned in this paper is a parallel computational framework targeted at solving coupled, nonlinear partial di?erential equations often arise in sim- ulation of nuclear processes, which is based on mathematics based on Jacobian-free Newton Krylov (JFNK).
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An overview of the HDF5 technology suite and its applications
Mike Folk,Gerd Heber,Quincey Koziol,Elena Pourmal,D. Robinson +4 more
- 25 Mar 2011
TL;DR: An overview of the HDF5 technology suite and some of its applications is given and the data model, the software architecture and its performance enhancing capabilities are discussed.
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Multiphysics simulations: Challenges and opportunities
David E. Keyes,Lois Curfman McInnes,Carol S. Woodward,William Gropp,Eric Myra,Michael Pernice,John B. Bell,Jed Brown,Alain Clo,Jeffrey M. Connors,Emil M. Constantinescu,Donald Estep,Katherine J. Evans,Charbel Farhat,Ammar Hakim,Glenn E. Hammond,Glen A. Hansen,Judith Hill,Tobin Isaac,Xiangmin Jiao,Kirk E. Jordan,Dinesh K. Kaushik,Efthimios Kaxiras,Alice Koniges,Kihwan Lee,P. Aaron Lott,Qiming Lu,John H. Magerlein,Reed M. Maxwell,Michael McCourt,Miriam Mehl,Roger P. Pawlowski,Amanda Randles,Daniel R. Reynolds,Béatrice Rivière,Ulrich Rüde,Timothy D. Scheibe,John N. Shadid,Brendan Sheehan,Mark S. Shephard,Andrew R. Siegel,Barry Smith,Xian-Zhu Tang,Cian R. Wilson,Barbara Wohlmuth +44 more
- 01 Feb 2013
TL;DR: This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.
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Physics-based multiscale coupling for full core nuclear reactor simulation
Derek Gaston,Cody J. Permann,John W. Peterson,Andrew E. Slaughter,David Andrs,Yaqi Wang,Michael P. Short,D. M. Perez,Michael R. Tonks,Javier Ortensi,Ling Zou,Richard C. Martineau +11 more
TL;DR: Examples based on the KAIST-3A benchmark core, as well as a simplified Westinghouse AP-1000 configuration, demonstrate the power of this new framework for tackling—in a coupled, multiscale manner—crucial reactor phenomena such as CRUD-induced power shift and fuel shuffle.
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