Advanced Core Design And Fuel Management For Pebble-Bed Reactors

Gougar, Hans D.; Ougouag, Abderrafi M.; Terry, William S.

doi:10.2172/911213

Cited by 13 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At this stage, the methodology illustrated above includes some simplifications. In addition to limiting pebbles to only occupy set positions, it is typically assumed that pebbles move as vertical channels without cross-mixing 3,4,15 . Furthermore, changes in the core geometry, such as the conic regions typically found in PBRs, are not considered.…”

Section: Pebbles Changing Domainmentioning

confidence: 99%

Hyper-fidelity depletion with discrete motion for pebble bed reactors

Robert

Siaraferas

Fratoni

2023

Sci Rep

View full text Add to dashboard Cite

Hyper-fidelity (HxF) depletion of pebble bed reactors (PBRs) is the capability to model depletion for every pebble while accounting for motion through the core. Previous HxF work demonstrated feasibility to deplete hundreds of thousands of stationary pebbles concurrently within reasonable timeframes. This work illustrates the second step towards HxF, coupling depletion with a discrete motion scheme. The model assumes an ordered bed with pebbles occupying fixed positions. Motion is simplified as discrete since pebbles move in straight lines from one set position to another. The methodology was implemented in Serpent 2, combined with its transport and depletion capabilities. Ad-hoc routines were developed ensuring compatibility with domain decomposition and pebble recirculation after each pass based on discharge criteria and fresh pebble insertion. Capabilities of HxF with discrete motion are demonstrated using a full-scale high-temperature gas-cooled reactor model. Specifically, an approach to equilibrium is performed, and example results are shown for in-core and discarded pebbles. The data illustrates how HxF provides unique insights into PBR fuel, producing information on statistical distributions rather than average values only, as obtained by traditional methods that rely on spectral zoning for depletion. Knowledge of these distributions can greatly improve analysis and assessment of PBRs.

show abstract

Section: Pebbles Changing Domainmentioning

confidence: 99%

Hyper-fidelity depletion with discrete motion for pebble bed reactors

Robert

Siaraferas

Fratoni

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

GPU-Based Parallel Computing for the Simulation of Complex Multibody Systems with Unilateral and Bilateral Constraints: An Overview

Tasora

Negrut²,

Anitescu

2010

Computational Methods in Applied Sciences

View full text Add to dashboard Cite

This work reports on advances in large-scale multibody dynamics simulation facilitated by the use of the Graphics Processing Unit (GPU). A description of the GPU execution model along with its memory spaces is provided to illustrate its potential parallel scientific computing. The equations of motion associated with the dynamics of large system of rigid bodies are introduced and a solution method is presented. The solution method is designed to map well on the parallel hardware, which is demonstrated by an order of magnitude reductions in simulation time for large systems that concern the dynamics of granular material. One of the salient attributes of the solution method is its linear scaling with the dimension of the problem. This is due to efficient algorithms that handle in linear time both the collision detection and the solution of the nonlinear complementarity problem associated with the proposed approach. The current implementation supports the simulation of systems with more than one million bodies on commodity desktops. Efforts are under way to extend this number to hundreds of millions of bodies on small affordable clusters.

show abstract

A matrix-free cone complementarity approach for solving large-scale, nonsmooth, rigid body dynamics

Tasora

Anitescu

2011

Computer Methods in Applied Mechanics and Engineering

111

View full text Add to dashboard Cite

This paper proposes an iterative method that can simulate mechanical systems featuring a large number of contacts and joints between rigid bodies. The numerical method behaves as a contractive mapping that converges to the solution of a cone complementarity problem by means of iterated fixed-point steps with separable projections onto convex manifolds. Since computational speed and robustness are important issues when dealing with a large number of frictional contacts, we have performed special algorithmic optimizations in order to translate the numerical scheme into a matrix-free algorithm with O(n) space complexity and easy implementation. A modified version, that can run on parallel computers is discussed. A multithreaded version of the method has been used to simulate systems with more than a million contacts with friction.

show abstract

Advanced Core Design And Fuel Management For Pebble-Bed Reactors

Cited by 13 publications

References 38 publications

Hyper-fidelity depletion with discrete motion for pebble bed reactors

Hyper-fidelity depletion with discrete motion for pebble bed reactors

GPU-Based Parallel Computing for the Simulation of Complex Multibody Systems with Unilateral and Bilateral Constraints: An Overview

A matrix-free cone complementarity approach for solving large-scale, nonsmooth, rigid body dynamics

Contact Info

Product

Resources

About