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

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. 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.

[1]  Thomas J. Downar,et al.  REACTOR SIMULATION WITH COUPLED MONTE CARLO AND COMPUTATIONAL FLUID DYNAMICS. , 2007 .

[2]  P. Fischer,et al.  Parallel spectral element solution of the Stokes problem , 1991 .

[3]  Jay Walter Larson,et al.  The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models , 2005, Int. J. High Perform. Comput. Appl..

[4]  Timothy J. Tautges,et al.  MOAB : a mesh-oriented database. , 2004 .

[5]  A. Patera.  A spectral element method for fluid dynamics: Laminar flow in a channel expansion , 1984 .

[6]  V. Mousseau,et al.  A verification exercise in multiphysics simulations for coupled reactor physics calculations , 2012 .

[7]  Thomas J. Downar,et al.  Application of TRACE/PARCS to BWR stability analysis , 2008 .

[8]  D. Keyes,et al.  Jacobian-free Newton-Krylov methods: a survey of approaches and applications , 2004 .

[9]  Moshe Israeli,et al.  Efficient removal of boundary-divergence errors in time-splitting methods , 1989 .

[10]  Derek Gaston,et al.  MOOSE: A parallel computational framework for coupled systems of nonlinear equations , 2009 .

[11]  Timothy J. Tautges,et al.  Coupled Multi-Physics Simulation Frameworks for Reactor Simulation: A Bottom-Up Approach , 2011 .

[12]  Timothy J. Tautges,et al.  Mesh Interface Resolution and Ghost Exchange in a Parallel Mesh Representation , 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

[13]  Michael T. Heath,et al.  Common‐refinement‐based data transfer between non‐matching meshes in multiphysics simulations , 2004 .

[14]  Paul Fischer,et al.  An Overlapping Schwarz Method for Spectral Element Solution of the Incompressible Navier-Stokes Equations , 1997 .

[15]  E. Lewis,et al.  Computational Methods of Neutron Transport , 1993 .

[16]  C. Demazière,et al.  Fine-mesh deterministic modeling of PWR fuel assemblies: Proof-of-principle of coupled neutronic/thermal–hydraulic calculations , 2014 .

[17]  Ernst Joachim Weniger.  Prediction properties of Aitken's iterated D 2 process, of Wynn's epsilon algorithm, and of Brezinski's iterated theta algorithm , 2000 .

[18]  Elia Merzari,et al.  SHARP Assembly-Scale Multiphysics Demonstration Simulations. , 2013 .

[19]  Vijay S. Mahadevan,et al.  Nonlinearly consistent schemes for coupled problems in reactor analysis , 2007 .

[20]  Andrew R. Siegel,et al.  Enabling high-fidelity neutron transport simulations on petascale architectures , 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis.

[21]  K. E. Jordan,et al.  Multiphysics simulations: Challenges and opportunities , 2013, Int. J. High Perform. Comput. Appl..

[22]  Andreas Dedner,et al.  The Distributed and Unified Numerics Environment (DUNE) , 2006 .

[23]  Vijay S. Mahadevan.  High Resolution Numerical Methods for Coupled Non-linear Multi-physics Simulations with Applications in Reactor Analysis , 2011 .

[24]  G. I. Marchuk,et al.  ON THE THEORY OF THE SPLITTING-UP METHOD , 1971 .

[25]  Robert B. Lowrie,et al.  A comparison of implicit time integration methods for nonlinear relaxation and diffusion , 2004 .

[26]  Timothy J. Tautges,et al.  Scalable parallel solution coupling for multiphysics reactor simulation , 2009 .

[27]  Andrew Siegel,et al.  Software design of SHARP , 2007 .

[28]  Barry F. Smith,et al.  UNIC : development of a new reactor physics analysis tool. , 2007 .

[29]  J. Shadid,et al.  Studies on the accuracy of time-integration methods for the radiation-diffusion equations , 2004 .

[30]  Won Sik Yang,et al.  MC2-3: Multigroup Cross Section Generation Code for Fast Reactor Analysis , 2013 .

[31]  William Gropp,et al.  Efficient Management of Parallelism in Object-Oriented Numerical Software Libraries , 1997, SciTools.

[32]  E. Bubelis,et al.  Validation of coupled neutronic/thermal-hydraulic code RELAP5-3D for RBMK-1500 reactor analysis application , 2004 .

[33]  G. Strang.  On the Construction and Comparison of Difference Schemes , 1968 .

[34]  Marvin L. Adams.  Even-parity finite-element transport methods in the diffusion limit , 1991 .

[35]  Steven A. Orszag,et al.  Numerical Simulation of Low Mach Number Reactive Flows , 1997 .

[36]  L. Margolin,et al.  On balanced approximations for time integration of multiple time scale systems , 2003 .

[37]  D. Bestion,et al.  NURESIM – A European simulation platform for nuclear reactor safety: Multi-scale and multi-physics calculations, sensitivity and uncertainty analysis , 2011 .