A collective dynamics-based method for initial pebble packing in pebble flow simulations

Abstract In the simulation of pebble flow in Pebble-Bed High Temperature Reactors (PB-HTR's), high-fidelity methods, such as discrete element method (DEM), are usually employed to simulate the dynamic process of the pebble circulation. Such simulation normally takes extraordinarily long time to reach the dynamic equilibrium state, in which the pebble distribution is statistically steady. However, if an initial dense packing of pebbles can be provided, which is close to the realistic packing at the equilibrium state and can be easily implemented without much computational effort, then the high-fidelity pebble flow simulation can take much less time to reach the dynamic equilibrium state. In this paper, a collective dynamics-based method is developed to generate an initial pebble packing for the subsequent high-fidelity pebble flow simulations. In the new method, pebbles are packed by two processes: a sequential generation process allowing overlaps and an overlap elimination process based on a simplified normal contact force model. The latter provides an adaptive and efficient mechanism to eliminate the overlaps accounting for different overlap size and pebble size, thus can pack tens of thousands of pebbles within several minutes. Applications of the new method to packing pebbles in both cylindrical and annular core geometries are studied for two types of PB-HTR designs: HTR-10 and PBMR-400. The resulting packings show similar radial and axial packing fraction distributions compared to the dynamic equilibrium packing state produced by the DEM pebble flow simulation. Comparisons with other existing random packing methods, such as the gravitational deposition method, have shown that the developed method not only exhibits excellent computation efficiency, but also presents desirable potential in other applications as a general packing algorithm for packing mono-sized or poly-sized spheres in a large container.

[1]  P. Mrafko HOMOGENEOUS AND ISOTROPIC HARD SPHERE MODEL OF AMORPHOUS METALS , 1980 .

[2]  Wei Ji,et al.  Pebble Flow Simulation Based on a Multi-Physics Model , 2010 .

[3]  G. T. Nolan,et al.  Computer simulation of random packing of hard spheres , 1992 .

[4]  E. Teuchert,et al.  Core physics and fuel cycles of the pebble bed reactor , 1975 .

[5]  D. Knoll,et al.  Tightly Coupled Multiphysics Algorithms for Pebble Bed Reactors , 2010 .

[6]  Cooper Random-sequential-packing simulations in three dimensions for spheres. , 1988, Physical review. A, General physics.

[7]  Gary S Grest,et al.  Confined granular packings: structure, stress, and forces. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  David R. Owen,et al.  Sphere packing with a geometric based compression algorithm , 2005 .

[9]  J. L. Finney,et al.  Fine structure in randomly packed, dense clusters of hard spheres , 1976 .

[10]  B. Widom,et al.  Random Sequential Addition of Hard Spheres to a Volume , 1966 .

[11]  Jodrey,et al.  Computer simulation of close random packing of equal spheres. , 1985, Physical review. A, General physics.

[12]  C. Rycroft,et al.  Dynamics of random packings in granular flow. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Danny Lathouwers,et al.  Effects of random pebble distribution on the multiplication factor in HTR pebble bed reactors , 2010 .

[14]  Katalin Bagi,et al.  An algorithm to generate random dense arrangements for discrete element simulations of granular assemblies , 2005 .

[15]  Wim J. J. Soppe,et al.  Computer simulation of random packings of hard spheres , 1990 .

[16]  C. Rycroft,et al.  Analysis of granular flow in a pebble-bed nuclear reactor. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  J. Barbera,et al.  Contact mechanics , 1999 .

[18]  W. Lafayette,et al.  The OECD/NEA/NSC PBMR coupled neutronics/thermal hydraulics transient benchmark: The PBMR-400 core design , 2006 .

[19]  H. D. Gougar,et al.  Reactor Pressure Vessel Temperature Analysis for Prismatic and Pebble-Bed VHTR Designs , 2006 .

[20]  Wei Ji,et al.  Modeling of Interactions between Liquid Coolant and Pebble Flow in Advanced High Temperature Reactors , 2011 .

[21]  H. Makse,et al.  A phase diagram for jammed matter , 2008, Nature.

[22]  Joshua J. Cogliati,et al.  METHODS FOR MODELING THE PACKING OF FUEL ELEMENTS IN PEBBLE BED REACTORS , 2005 .

[23]  W. Visscher,et al.  Random Packing of Equal and Unequal Spheres in Two and Three Dimensions , 1972, Nature.

[24]  D. Kilgour,et al.  The density of random close packing of spheres , 1969 .

[25]  Wiley,et al.  Numerical simulation of the dense random packing of a binary mixture of hard spheres: Amorphous metals. , 1987, Physical review. B, Condensed matter.

[26]  Thomas M Truskett,et al.  Is random close packing of spheres well defined? , 2000, Physical review letters.

[27]  Gary Edward Mueller,et al.  Numerically packing spheres in cylinders , 2005 .

[28]  Joshua J. Cogliati,et al.  PEBBLES: A COMPUTER CODE FOR MODELING PACKING, FLOW AND RECIRCULATIONOF PEBBLES IN A PEBBLE BED REACTOR , 2006 .

[29]  Gary S Grest,et al.  Geometry of frictionless and frictional sphere packings. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Joshua J. Cogliati,et al.  Survey of dust production in pebble bed reactor cores , 2011 .

[31]  A. M. Ougouag,et al.  Comparison and Extension of Dancoff Factors for Pebble-Bed Reactors , 2007 .

[32]  Marina L. Gavrilova,et al.  The Voronoi-Delaunay approach for the free volume analysis of a packing of balls in a cylindrical container , 2002, Future Gener. Comput. Syst..

[33]  Francesco Zamponi,et al.  Mathematical physics: Packings close and loose , 2008, Nature.

[34]  W. K. Terry,et al.  Direct Deterministic Method for Neutronics Analysis and Computation of Asymptotic Burnup Distribution in a Recirculating Pebble-Bed Reactor , 2002 .

[35]  Schwartz,et al.  Packing of compressible granular materials , 2000, Physical review letters.

[36]  J. L. Kloosterman,et al.  SPATIAL EFFECTS IN DANCOFF FACTOR CALCULATIONS FOR PEBBLE-BED HTRs , 2005 .

[37]  C. Leroy,et al.  Evaluation of the volume of intersection of a sphere with a cylinder by elliptic integrals , 1990 .

[38]  R. F. Benenati,et al.  Void fraction distribution in beds of spheres , 1962 .

[39]  Liang Cui,et al.  Analysis of a triangulation based approach for specimen generation for discrete element simulations , 2003 .

[40]  G. Grest,et al.  Granular flow down an inclined plane: Bagnold scaling and rheology. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.