Tightly Coupled Multiphysics Algorithms for Pebble Bed Reactors

Park, HyeongKae; Knoll, D. A.; Gaston, Derek; Martineau, Richard

doi:10.13182/nse09-104

Cited by 35 publications

(23 citation statements)

References 21 publications

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“…MOOSE employs the libMesh finite-element framework (Kirk et al, 2006a), which provides utilities for parallel finite-element computation, including mesh I/O, a finite-element library, and interfaces to nonlinear solvers in PETSc and Trilinos. Multiphysics applications using MOOSE include BISON Newman et al, 2009a,b) (models nuclear reactor fuel performance computation across diverse scales that involve both the continuum and subcontinuum (Tonks et al, 2009(Tonks et al, , 2010); PRONGHORN (an analysis code that models coupled coolant flow and neutronics for very high temperature gas cooled reactors (Knoll et al, , 2011Park et al, 2009aPark et al, , 2010); and geoscience analysis applications (Guo et al, 2010;Gaston et al, 2012).…”

mentioning

confidence: 99%

Multiphysics simulations: challenges and opportunities.

Keyes¹,

McInnes²,

Woodward³

et al. 2012

149

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We consider multiphysics applications from algorithmic and architectural perspectives, where "algorithmic" includes both mathematical analysis and computational complexity and "architectural" includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities.

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mentioning

confidence: 99%

Multiphysics simulations: challenges and opportunities.

Keyes¹,

McInnes²,

Woodward³

et al. 2012

149

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“…For this application, the batch size had to be increased (compared to a case with a specified temperature distribution) by a factor of 5 (from 50,000 to 250,000 histories/batch) to converge the temperature feedback. The impact of statistical error on multiphysics feedback may be stronger with the modern coupling methods such as Jacobian-free Newton-Krylov (JFNK) [31][32] if the residual has to be explicitly estimated with Monte Carlo.…”

Section: Fluctuationsmentioning

confidence: 99%

Challenges and Prospects for Whole-Core Monte Carlo Analysis

Martin¹

2012

Nuclear Engineering and Technology

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“…The total energy E ≡ e+ u 2 2 , where e is the internal energy of the fluid. The equation of state is required to close the system.…”

Section: Relap-7 Modelmentioning

confidence: 99%

“…The Darcy flow model is a currently accepted engineering representation of flow in HTGRs [6,2]. The Darcy-law assumes the fluid momentum is proportional to a gradient of pressure.…”

Section: Pronghorn Modelmentioning

confidence: 99%

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Initial Coupling of the RELAP-7 and PRONGHORN Applications

Ortensi¹,

Andrš²,

Bingham³

et al. 2012

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Modern nuclear reactor safety codes require the ability to solve detailed coupled neutronics and thermal fluids problems. For larger cores, this implies fully coupled higher dimensionality spatial dynamics with appropriate feedback models that can provide enough resolution to accurately compute core heat generation and removal during steady and unsteady conditions. In this work, the reactor analysis code PRONGHORN is coupled to RELAP-7 as a first step to extend RELAPs current capabilities. This report details the mathematical models, the type of coupling, and the testing results from the integrated system. RELAP-7 is a MOOSE-based application that solves the continuity, momentum, and energy equations in 1-D for a compressible fluid. The pipe and joint capabilities enable it to model parts of the power conversion unit. The PRONGHORN application, also developed on the MOOSE infrastructure, solves the coupled equations that define the neutron diffusion, fluid flow, and heat transfer in a full core model. The two systems are loosely coupled to simplify the transition towards a more complex infrastructure. The integration is tested on a simplified version of the OECD/NEA MHTGR-350 Coupled Neutronics-Thermal Fluids benchmark model.

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Tightly Coupled Multiphysics Algorithms for Pebble Bed Reactors

Cited by 35 publications

References 21 publications

Multiphysics simulations: challenges and opportunities.

Multiphysics simulations: challenges and opportunities.

Challenges and Prospects for Whole-Core Monte Carlo Analysis

Initial Coupling of the RELAP-7 and PRONGHORN Applications

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