Selected Papers From the 31st International Conference on Discrete Simulation of Fluid Dynamics

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2502

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Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing 100084, China
Interests: micro/nano fluids; transport in porous media; multiscale modeling; heat transfer; complex fluids
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School of Mathematical Science, Soochow University, Suzhou 215006, China
Interests: Lattice Boltzmann method; multiphase flow; incompressible flows; high performance computing

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School of Mathematical Science, Soochow University, Suzhou 215006, China
Interests: numerical analysis; mathematical modeling; deep learning; high performance computing
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Interests: multiphase flow in porous media; non-newotnian fluids; Lattice Boltzmann modeling; microfluidics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The topics of this Special Issue include recent progress and advances in discrete simulation methods including lattice Boltzmann schemes, dissipative particle dynamics, smoothed-particle hydrodynamics, direct Monte Carlo simulation, molecular dynamics, quantum Monte Carlo methods, multiparticle collision dynamics and hybrid methods. We welcome submissions on advances in both theory and computation, on engineering applications of discrete fluid algorithms, and on fundamental issues in mathematical modelling, numerical analysis, statistical mechanics, kinetic theory and hydrodynamics and their applications in microscopic, nanoscale and multiscale physics for emerging technologies. We also welcome theoretical and experimental works on interfacial phenomena, droplets, free-surface flow, and micro- and nano fluids.

Prof. Dr. Moran Wang
Prof. Dr. Yuehong Qian
Dr. Yuxuan Chen
Dr. Chiyu Xie
Guest Editors

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Keywords

  • computational fluid dynamics
  • discrete simulation method
  • kinetic theory
  • multiscale physics of fluids

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Published Papers (1 paper)

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Research

19 pages, 788 KiB  
Article
Recalibration of LBM Populations for Construction of Grid Refinement with No Interpolation
by Arseniy Berezin, Anastasia Perepelkina, Anton Ivanov and Vadim Levchenko
Fluids 2023, 8(6), 179; https://doi.org/10.3390/fluids8060179 - 13 Jun 2023
Cited by 1 | Viewed by 1679
Abstract
Grid refinement is used to reduce computing costs while maintaining the precision of fluid simulation. In the lattice Boltzmann method (LBM), grid refinement often uses interpolated values. Here, we developed a method in which interpolation in space and time is not required. For [...] Read more.
Grid refinement is used to reduce computing costs while maintaining the precision of fluid simulation. In the lattice Boltzmann method (LBM), grid refinement often uses interpolated values. Here, we developed a method in which interpolation in space and time is not required. For this purpose, we used the moment matching condition and rescaled the nonequilibrium part of the populations, thereby developing a recalibration procedure that allows for the transfer of information between different LBM stencils in the simulation domain. Then, we built a nonuniform lattice that uses stencils with different shapes on the transition. The resulting procedure was verified by performing benchmarks with the 2D Poisselle flow and the advected vortex. It is suggested that grids with adaptive geometry can be built with the proposed method. Full article
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