Lattice Boltzmann Method in Computational Fluid Dynamics

A special issue of Fluids (ISSN 2311-5521). This special issue belongs to the section "Mathematical and Computational Fluid Mechanics".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 3068

Special Issue Editor

Experimental and Computational Engineering Group, Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA
Interests: fluid dynamics; numerical method; electrochemistry; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The lattice Boltzmann method (LBM) is a relative new computation fluid dynamics method compared to the solving Navier–Stokes equations. In the last 20 years, LBM has been utilized in various application areas and shows impressive advantages in different aspects, such as high efficiency for massive parallel computing, complicated geometry, and multi-phase flow. This Special Issue of Fluids is dedicated to recent advances in the numerical approaches and applications of LBM. The studies relating to LBM include but are not limited to parallel computing, graphic processing unit (GPU) acceleration, new boundary condition treatments, unstructured mesh, and flow for complicated geometries, multi-phase flow, multi-physics, and multi-scale applications, etc.

Dr. Jie Bao
Guest Editor

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Keywords

  • parallel computing
  • GPU acceleration
  • boundary condition treatments
  • unstructured mesh
  • multi-phase flow
  • multi-physics
  • multi-scale
  • complicated geometry

Published Papers (1 paper)

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Research

18 pages, 2895 KiB  
Article
Numerical Simulations of Flows in a Cerebral Aneurysm Using the Lattice Boltzmann Method with the Half-Way and Interpolated Bounce-Back Schemes
by Susumu Osaki, Kosuke Hayashi, Hidehito Kimura, Takeshi Seta, Takashi Sasayama and Akio Tomiyama
Fluids 2021, 6(10), 338; https://doi.org/10.3390/fluids6100338 - 25 Sep 2021
Viewed by 2313
Abstract
Lattice Boltzmann simulations and a velocity measurement of flows in a cerebral aneurysm reconstructed from MRA (magnetic resonance angiography) images of an actual aneurysm were carried out and the numerical results obtained using the bounce-back schemes were compared with the experimental data to [...] Read more.
Lattice Boltzmann simulations and a velocity measurement of flows in a cerebral aneurysm reconstructed from MRA (magnetic resonance angiography) images of an actual aneurysm were carried out and the numerical results obtained using the bounce-back schemes were compared with the experimental data to discuss the effects of the numerical treatment of the no-slip boundary condition of the complex boundary shape of the aneurysm on the predictions. The conclusions obtained are as follows: (1) measured data of the velocity in the aneurysm model useful for validation of numerical methods were obtained, (2) the numerical stability of the quadratic interpolated bounce-back scheme (QBB) in the flow simulation of the cerebral aneurysm is lower than those of the half-way bounce-back (HBB) and the linearly interpolated bounce-back (LBB) schemes, (3) the flow structures predicted using HBB and LBB are comparable and agree well with the experimental data, and (4) the fluctuations of the wall shear stress (WSS), i.e., the oscillatory shear index (OSI), can be well predicted even with the jaggy wall representation of HBB, whereas the magnitude of WSS predicted with HBB tends to be smaller than that with LBB. Full article
(This article belongs to the Special Issue Lattice Boltzmann Method in Computational Fluid Dynamics)
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