Granular flow in pebble-bed nuclear reactors: Scaling, dust generation, and stress

Rycroft, Chris H.; Dehbi, A.; Lind, Terttaliisa; Güntay, S.

doi:10.1016/j.nucengdes.2013.07.010

Cited by 37 publications

(29 citation statements)

References 53 publications

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“…Narrow containers such as CoBIE can exhibit significant effects from the walls, and the limited bed height of CoBIE is not fully representative of a full-scale Mk1 PB-FHR core. Similar scaling distortions have been assessed by Rycroft et al (2013) by studying scaled pebble-beds, although the work focused primarily on flow effects.…”

Section: Test Silo Limitationsmentioning

confidence: 78%

“…Furthermore, an extended study using simulation tools would be beneficial to further confirm the CoBIE results presented in this paper. For example, a DEM software package could perform simulations to help quantify the CoBIE scaling distortions, similar to the work performed by Rycroft et al (2013). Simulation work supporting the CoBIE experimental results could also provide additional data unavailable in the X-PREX facility.…”

Section: Conclusion and Recommendations For Future Workmentioning

confidence: 99%

See 1 more Smart Citation

A scaled experimental study of control blade insertion dynamics in Pebble-Bed Fluoride-Salt-Cooled High-Temperature Reactors

Buster

Laufer

Peterson

2016

Nuclear Engineering and Design

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Section: Test Silo Limitationsmentioning

confidence: 78%

Section: Conclusion and Recommendations For Future Workmentioning

confidence: 99%

A scaled experimental study of control blade insertion dynamics in Pebble-Bed Fluoride-Salt-Cooled High-Temperature Reactors

Buster

Laufer

Peterson

2016

Nuclear Engineering and Design

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“…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%

A multi‐core ready discrete element method with triangles using dynamically adaptive multiscale grids

Krestenitis

Weinzierl

2018

Concurrency and Computation

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Summary The simulation of vast numbers of rigid bodies of non‐analytical shapes and of tremendously different sizes that collide with each other is computationally challenging. A bottleneck is the identification of all particle contact points per time step. We propose a tree‐based multilevel meta data structure to administer the particles. The data structure plus a purpose‐made tree traversal identifying the contact points introduce concurrency to the particle comparisons, whilst they keep the absolute number of particle‐to‐particle comparisons low. Furthermore, a novel adaptivity criterion allows explicit time stepping to work with comparably large time steps. It optimises both toward low algorithmic complexity per time step and low numbers of time steps. We study three different parallelisation strategies exploiting our traversal's concurrency. The fusion of two of them yields promising speedups once we rely on maximally asynchronous task‐based realisations. Our work shows that new computer architecture can push the boundary of rigid particle computability, yet if and only if the right data structures and data processing schemes are chosen.

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“…bulk flow features such as the velocity field, pebble-based statistics such as the porosity distribution, and core diffusion and mixing which would be helpful in determining the propensity for rare events that could affect individual pebble peaking factors [36]. For instance, Rycroft et al analyzed comprehensive basic flow features such as the mean velocity, diffusion and mixing, local ordering and porosity, etc.…”

Section: Applications Of Models In Pbrmentioning

confidence: 99%

“…[8]. Scaling properties and graphite dust generation problem were analyzed with DEM simulations performed by using the code LAMMPS on both full-size and scaled-down geometries [36].…”

Section: Applications Of Models In Pbrmentioning

confidence: 99%

A review on numerical models for granular flow inside hoppers and its applications in PBR

Tang

Zhang

Guo

2014

Journal of Nuclear Science and Technology

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Granular flow is the shearing motion of a collection of discrete solid particles which are commonly seen and widely utilized in various industrial applications. One of the essential applications of dense slow granular flow in engineering is the pebble flow in pebble-bed nuclear reactor (PBR). A number of numerical models have been established for researching the basic physical mechanisms and properties of granular flow. For the purpose of generating an appropriate model for high temperature reactor-pebblebed modules (HTR-PM) in the future, numerical models on granular flow in hoppers and some of their previous applications on PBRs are reviewed. In this paper, basic transport and contact mechanisms of granular flow are firstly introduced, then kinetic theory from gas molecules and plastic theory from metal mechanics approaches give descriptions of the macroscopic behavior of rapid flow and quasistatic flow regimes, respectively, subsequently kinematic continuum method and discrete element method (DEM) are presented to describe the bulk features of dense slow flow in hoppers. Since various kinematic models, DEM models and their modified versions for dense slow granular flow in hoppers have been experimentally verified and applied in prediction of pebble flow in PBRs, a promising model for HTR-PM is expected with further work to generate pebble flow profile in the future.

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Granular flow in pebble-bed nuclear reactors: Scaling, dust generation, and stress

Cited by 37 publications

References 53 publications

A scaled experimental study of control blade insertion dynamics in Pebble-Bed Fluoride-Salt-Cooled High-Temperature Reactors

A scaled experimental study of control blade insertion dynamics in Pebble-Bed Fluoride-Salt-Cooled High-Temperature Reactors

A multi‐core ready discrete element method with triangles using dynamically adaptive multiscale grids

A review on numerical models for granular flow inside hoppers and its applications in PBR

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