2015
DOI: 10.1016/j.anucene.2014.11.018
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Modeling of realistic pebble bed reactor geometries using the Serpent Monte Carlo code

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Cited by 37 publications
(15 citation statements)
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“…While there is not exact correspondence between the average of a detailed CFD simulation and a porous media simulation, provided appropriate error bounds are assumed for the porous media predictions, porous media models can be used for engineering-scale thermal design. Further, provided the neutron migration length is larger than the porous media averaging length, the use of a porous media T/H solution for temperature feedback in neutronics simulations is an acceptable simplification of the fluid flow and heat transfer [1,30].…”
Section: Physical Modelsmentioning
confidence: 99%
“…While there is not exact correspondence between the average of a detailed CFD simulation and a porous media simulation, provided appropriate error bounds are assumed for the porous media predictions, porous media models can be used for engineering-scale thermal design. Further, provided the neutron migration length is larger than the porous media averaging length, the use of a porous media T/H solution for temperature feedback in neutronics simulations is an acceptable simplification of the fluid flow and heat transfer [1,30].…”
Section: Physical Modelsmentioning
confidence: 99%
“…Despite these disadvantages, it is generally agreed that porous media codes can reasonably capture global thermalhydraulic characteristics like average velocities, temperatures, and pressure drops [2]. High-fidelity multiphysics simulations of pebble bed reactors usually allocate most of the computational cost to the neutronics solution, while porous media thermal-hydraulics is an acceptable simplification for the fluid flow and heat transfer provided the neutron migration length is larger than the porous media averaging length [15,16]. Fig.…”
Section: Physical Modelsmentioning
confidence: 99%
“…• Non-cylindrical walls, such as in the ASTRA [16] and Thorium Molten Salt Reactor (TMSR) experimental facilities [7]; and…”
Section: Porosity Coordination Number and Tortuositymentioning
confidence: 99%
“…Given the predominance of spatial decomposition schemes, the realisation of MPI parallelisation (logically distributed memory) of DEM is well‐understood . Though many roadmaps predict that the gain of performance in future supercomputers will stem from an increase of (shared memory) cores, literature on shared memory parallelisation in the DEM context however is rare.…”
Section: Related Algorithmic Conceptsmentioning
confidence: 99%