Visual simulation of thermal fluid dynamics in a pressurized water reactor

Fan, Zhe; Kuo, Yu-Chuan; Zhao, Ye; Qiu, Feng; Kaufman, Arie; Arcieri, W.C.

doi:10.1007/s00371-008-0309-x

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…We present a simulation and visualization system for a critical application-the analysis of the thermal fluid dynamics inside a pressurized water reactor (PWR) of a nuclear power plant when cold water is injected into the reactor vessel. We have worked closely with PWR scientific engineers and have developed a visual simulation system [2] that employs a hybrid thermal lattice Boltzmann method (HTLBM) [7] for modeling of the thermal fluid dynamics. In particular, the simulation demonstrates the formation of cold-water plumes in the reactor vessel.…”

Section: Application: Thermal Fluid Dynamics In a Pressurized Water Rmentioning

confidence: 99%

Implementing the lattice Boltzmann model on commodity graphics hardware

Kaufman¹,

Fan²,

Petkov³

2009

J. Stat. Mech.

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Modern graphics processing units (GPUs) can perform generalpurpose computations in addition to the native specialized graphics operations. Due to the highly parallel nature of graphics processing, the GPU has evolved into a many-core coprocessor that supports high data parallelism. Its performance has been growing at a rate of squared Moore's law, and its peak floating point performance exceeds that of the CPU by an order of magnitude. Therefore, it is a viable platform for time-sensitive and computationally intensive applications. The lattice Boltzmann model (LBM) computations are carried out via linear operations at discrete lattice sites, which can be implemented efficiently using a GPU-based architecture. Our simulations produce results comparable to the CPU version while improving performance by an order of magnitude. We have demonstrated that the GPU is well suited for interactive simulations in many applications, including simulating fire, smoke, lightweight objects in wind, jellyfish swimming in water, and heat shimmering and mirage (using the hybrid thermal LBM). We further advocate the use of a GPU cluster for large scale LBM simulations and for high performance computing. The Stony Brook Visual Computing Cluster has been the platform for several applications, including simulations of real-time plume dispersion in complex urban environments and thermal fluid dynamics in a pressurized water reactor. Major GPU vendors have been targeting the high performance computing market with GPU hardware implementations. Software toolkits such as NVIDIA CUDA provide a convenient development platform that abstracts the GPU and allows access to its underlying stream computing architecture. However, software programming for a GPU cluster remains a challenging task. We have therefore developed the Zippy framework to simplify GPU cluster programming. Zippy

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Section: Application: Thermal Fluid Dynamics In a Pressurized Water Rmentioning

confidence: 99%

Implementing the lattice Boltzmann model on commodity graphics hardware

Kaufman¹,

Fan²,

Petkov³

2009

J. Stat. Mech.

Self Cite

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“…Possible fractures in the reactor after a Small Break-Loss Of Coolant Accident (SB-LOCA), by a high-temperature gradient following the emergency cold injection by a high-pressure injection system [42,43].…”

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confidence: 99%

“…More sophisticated turbulence models, such as VLES or LES-WALE [44,52,54,55,58], are also used, leading to better results than LES, and that of the use of the LBM (only without taking into account turbulence). The inclusion of thermal field models is relevant [42,43,53,55,56] to upgrade the classical isothermal LBM to a numerical method capable of simulating the heat transfer mechanisms present in the reactor (in particular, the convective heat transfer). The most commonly used is based on the secondary distribution approach.…”

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confidence: 99%

Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review

et al. 2020

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Nuclear engineering requires computationally efficient methods to simulate different components and systems of plants. The Lattice Boltzmann Method (LBM), a numerical method with a mesoscopic approach to Computational Fluid Dynamic (CFD) derived from the Boltzmann equation and the Maxwell–Boltzmann distribution, can be an adequate option. The purpose of this paper is to present a review of the recent applications of the Lattice Boltzmann Method in nuclear engineering research. A systematic literature review using three databases (Web of Science, Scopus, and ScienceDirect) was done, and the items found were categorized by the main research topics into computational fluid dynamics and neutronic applications. The features of the problem addressed, the characteristics of the numerical method, and some relevant conclusions of each study are resumed and presented. A total of 45 items (25 for computational fluid dynamics applications and 20 for neutronics) was found on a wide range of nuclear engineering problems, including thermal flow, turbulence mixing of coolant, sedimentation of impurities, neutron transport, criticality problem, and other relevant issues. The LBM results in being a flexible numerical method capable of integrating multiphysics and hybrid schemes, and is efficient for the inner parallelization of the algorithm that brings a widely applicable tool in nuclear engineering problems. Interest in the LBM applications in this field has been increasing and evolving from early stages to a mature form, as this review shows.

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lbmNTH: A unified lattice Boltzmann framework for coupled neutronics-thermal-hydraulics analysis

Wang

2022

Annals of Nuclear Energy

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Visual simulation of thermal fluid dynamics in a pressurized water reactor

Cited by 7 publications

References 19 publications

Implementing the lattice Boltzmann model on commodity graphics hardware

Implementing the lattice Boltzmann model on commodity graphics hardware

Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review

lbmNTH: A unified lattice Boltzmann framework for coupled neutronics-thermal-hydraulics analysis

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