A5026662743- Nuclear reactor physics and engineering
- Nuclear Materials and Properties
- Advanced Numerical Methods in Computational Mathematics
- Distributed and Parallel Computing Systems
- Nuclear and radioactivity studies
- Nuclear Engineering Thermal-Hydraulics
- Numerical methods for differential equations
- Nuclear Physics and Applications
- Simulation Techniques and Applications
- Scientific Computing and Data Management
- Solidification and crystal growth phenomena
- Matrix Theory and Algorithms
- Superconducting Materials and Applications
- Graphite, nuclear technology, radiation studies
- Magnetic confinement fusion research
- Groundwater flow and contamination studies
- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Heat transfer and supercritical fluids
- Computational Fluid Dynamics and Aerodynamics
- Fault Detection and Control Systems
- Parallel Computing and Optimization Techniques
- Engineering Applied Research
- Fusion materials and technologies
- Aluminum Alloy Microstructure Properties
Idaho National Laboratory
2015-2024
Institut für Nachhaltige Landbewirtschaftung (Germany)
2022
Florida State University
2014
SUNY Geneseo
2014
Numerical simulation of nuclear reactors is a key technology in the quest for improvements efficiency, safety, and reliability both existing future reactor designs. Historically, an entire was accomplished by linking together multiple codes that each simulated subset relevant multiphysics phenomena. Recent advances MOOSE (Multiphysics Object Oriented Simulation Environment) framework have enabled new approach: domain-specific applications, all built on same software framework, are...
The last 2 years have been a period of unprecedented growth for the MOOSE community and software itself. number monthly visitors to website has grown from just over 3,000 now averaging 5,000. In addition, 1,800 pull requests merged since beginning 2020, new discussions forum averaged 600 unique per month. previous publication cited 200 times it was published ago. This paper serves as an update on some key additions changes code ecosystem years, well recognizing contributions community.
Harnessing modern parallel computing resources to achieve complex multi-physics simulations is a daunting task. The Multiphysics Object Oriented Simulation Environment (MOOSE) aims enable such development by providing simplified interfaces for specification of partial differential equations, boundary conditions, material properties, and all aspects simulation without the need consider parallel, adaptive, nonlinear, finite-element solve that handled internally. Through use inheritance, each...
The development of MOOSE has kept accelerating since the last release, with over 2,100 pull requests merged 30 months that involved nearly fifty contributors across close to a dozen institutions internationally. growth in MOOSE's capabilities and downstream applications is reflected community. User support provided on GitHub discussions forum steadily increased 50 daily interactions. New simulation projects, notably model advanced nuclear reactor fusion devices, are driving significant...
Stochastic simulations are ubiquitous across scientific disciplines. The Multiphysics Object-Oriented Simulation Environment (MOOSE) includes an optional module – stochastic tools for implementing simulations. It implements efficient and scalable scheme performing analysis in memory. can be used building meta models to reduce the computational expense of multiphysics problems as well perform analyses requiring up millions To illustrate, we have provided example that trains a proper...
The MOOSE Navier–Stokes module solves mass, momentum, energy, and passive scalar conservation equations in the context of fluid flow. supports solution these both free flow porous medium contexts for a range compressibility. can be discretized space using continuous Galerkin finite elements or with cell centered volumes.
Efficient solution via Newton's method of nonlinear systems equations requires an accurate representation the Jacobian, corresponding to derivatives component residual with respect degrees freedom. In practice these often arise from spatial discretization partial differential used model physical phenomena. These may involve domain motion or material that are complex functions systems' Computing Jacobian by hand in situations is arduous and prone error. Finite difference approximations its...
With the next generation of nuclear reactors under development, modeling and simulation tools are being developed by U.S. Department Energy to support their design, licensing, future operation. Mirroring physical test beds currently construction (i.e., Demonstration Operation Microreactor Experiments, known as DOME, Laboratory for Operating Testing in United States, LOTUS), Virtual Test Bed was launched National Reactor Innovation Center collaboration with Nuclear Advanced Modeling...
In recent years, the use of Monte Carlo methods for modeling reactors has become feasible due to increasing availability massively parallel computer systems. One primary challenges yet be fully resolved, however, is efficient and accurate inclusion multiphysics feedback in simulations. The research this paper presents a preliminary coupling open-source code OpenMC with Multiphysics Object-Oriented Simulation Environment (MOOSE). MOOSE will used investigate numerical needed include codes. An...
This paper demonstrates a multiphysics solver for pebble-bed reactors, in particular, Berkeley's -fluoride-salt-cooled high-temperature reactor (PB-FHR) (Mark I design). The FHR is class of advanced nuclear reactors that combines the robust coated particle fuel form from gas-cooled direct auxiliary cooling system passive decay removal liquid-metal fast and transparent, high-volumetric heat capacitance liquid-fluoride salt working fluids (e.g., FLiBe) molten reactors. coolant combination...
Cardinal is an open-source application that couples OpenMC Monte Carlo transport and NekRS computational fluid dynamics (CFD) to the Multiphysics Object-Oriented Simulation Environment (MOOSE), closing neutronics thermal-fluid gaps in conducting high-resolution multiscale multiphysics analyses of nuclear systems. We first provide a brief introduction Cardinal's software design, data mapping, coupling strategy highlight our approach overcoming common challenges high-fidelity simulations. then...
We have developed a tightly coupled multiphysics simulation tool for the pebble bed reactor (PBR) concept, specific type of very high temperature gas-cooled reactor. The PRONGHORN takes advantage Multiphysics Object-Oriented Simulation Environment library and is capable solving multidimensional thermal-fluid neutronics problems implicitly with Newton-based approach. Expensive Jacobian matrix formation alleviated via Jacobian-free Newton-Krylov method, physics-based preconditioning applied to...