Adaptive Mesh Refinement for Neutron Transfer With Lattice Boltzmann Scheme

Ma, Yu; Wang, Yahui; Song, Kuilong; Sun, Qian

doi:10.1115/icone25-66093

Cited by 1 publication

(6 citation statements)

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“…Concerning CFD, what is remarkable is the work by the research group of Tiftikçi, Kocar, et al [49,[52][53][54][55]58]. Regarding neutronics, mainly two research groups are working on the topic, i.e., Wang, Ma et al [73][74][75][76][77][78][79][80][81][82], and Bindra, Gairola, Agarwal et al [66,[68][69][70][71][72]83].…”

Section: Discussionmentioning

confidence: 99%

“…In the work of Ma et al, (2017) [76], the optimization of the NT-LBM is proposed, based on a refinement technique called Structured Adaptive Mesh Refinement (SAMR). This technique allows for making a progressive mesh (grid) refinement, subdividing the domain into blocks, and applying a successive grid refinement in the different blocks until some convergence criterion is reached, allowing, in this way, the improvement of the resolution in a specific space region.…”

Section: Neutronics: Transport and Diffusionmentioning

confidence: 99%

“…Neutron flux calculations in complex geometric arrays with different scattering/absorbing and reflective media [64][65][66]76,78,80,82]. The simulations are carried out, searching, not just for steady-state solutions, but also for time-dependent trends [71][72][73][74][75]79].…”

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confidence: 99%

“…Resolution of criticality problems related with the time-stability of the neutrons flux [68][69][70][71]76,77,79,80].…”

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confidence: 99%

“…Hybrid schemes using the FV approach to handle different meshes and represent complex domains are also found [75,79]. Mesh refinement strategies are adopted to optimize resolution, handle curved geometries, and to reduce computational cost [76][77][78].…”

mentioning

confidence: 99%

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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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