This study presents a multiphysics computational simulation framework for analyzing pebble dynamics and thermal-fluid behavior in High-Temperature Gas-Cooled Pebble Bed Reactors (HTG-PBR). The pebble circulation and intermixing effects are predicted using Discrete Element Method (DEM) implemented in LIGGGHTS, while the thermal-fluid behavior is simulated with computational fluid dynamics (CFD) in OpenFOAM. The CFD model employs a porous-media formulation with a local thermal non-equilibrium model to capture the energy exchange between the helium coolant and pebbles. Integrating the DEM-based mixing effects into the porous CFD model enables a more physically representative and scalable approach for full-core reactor analysis. Both DEM and CFD solvers are validated using established pebble-bed benchmark problems to confirm the viability of the developed computational models. A HTG-PBR-like conical model reactor is employed as a test problem to evaluate the developed method. The simulation results confirm the predictive capability of the developed models for HTG-PBR performance analysis and provide insight for future multiphysics coupling strategies for reactor design optimization.
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Kashminder S. Mehta
Virginia Commonwealth University
Braden Goddard
Virginia Commonwealth University
Zeyun Wu
Virginia Commonwealth University
SHILAP Revista de lepidopterología
Frontiers in Nuclear Engineering
Virginia Commonwealth University
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Mehta et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75f04c6e9836116a2a19e — DOI: https://doi.org/10.3389/fnuen.2026.1762086