GPU accelerated lattice Boltzmann method in neutron kinetics problems II: Neutron transport calculation

Wang, Yahui; Ma, Yu; Xie, Min

doi:10.1016/j.anucene.2019.06.020

Cited by 8 publications

(5 citation statements)

References 47 publications

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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%

“…It was highlighted that "for the LBM approach, the non-linear term is local, and the non-local term is linear"; this implies an advantage for parallel computation. The diffusion equation is a low-order isotropic approximation of the neutron transport equation, and for this reason, Wang et al, in 2019 [82], improved the previous work with a GPU Neutron Transport LBM (GPU-NT-LBM). The method was tested with a mono-dimensional transient benchmark, a two-dimensional benchmark of a typical PWR, and a two-dimensional iron-water benchmark, making a comparison with the DOM solutions.…”

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%

“…Some commercial software implementing LBM are available, as well as some open-source libraries (see Appendix A for further details), but up to now, the general trend of research is to use and test self-developed codes, proving relatively simple implementation, but also the customization possibilities of this numerical method. To access all of the potential of the method, it is worth mentioning the possibility of implementing the LBM in parallel computing platforms (GPUs and clusters [43,81,82]) that not only enhance the spatial and temporal resolution of the results, but also optimize the computational cost with the inclusion of advanced mesh refinement schemes [76][77][78].…”

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confidence: 99%

“…10. The use of Sn-LBM, the spatial-angular parallelization mode, and the multi-GPU technique can speed up the NT-LBM, solving the neutron transport problem accurately and effectively without affecting the convergence characteristics [82].…”

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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