Cited by 27Lattice Boltzmann Simulation StudiesComputational Fluid Dynamics and AerodynamicsAdvanced Numerical Methods in Computational Mathematics

Lattice-Boltzmann coupled models for advection–diffusion flow on a wide range of Péclet numbers

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Dapelo, Davide, Simonis, Stephan, Krause, Mathias J., Bridgeman, John·2021·Journal of Computational Science

Abstract

Traditional Lattice-Boltzmann modelling of advection–diffusion flow is affected by numerical instability if the advective term becomes dominant over the diffusive (i.e., high-Péclet flow). To overcome the problem, two 3D one-way coupled models are proposed. In a traditional model, a Lattice-Boltzmann Navier–Stokes solver is coupled to a Lattice-Boltzmann advection–diffusion model. In a novel model, the Lattice-Boltzmann Navier–Stokes solver is coupled to an explicit finite-difference algorithm for advection–diffusion. The finite-difference algorithm also includes a novel approach to mitigate the numerical diffusivity connected with the upwind differentiation scheme. The models are validated using two non-trivial benchmarks, which includes discontinuous initial conditions and the case Peg→∞ for the first time, where Peg is the grid Péclet number. The evaluation of Peg alongside Pe is discussed. Accuracy, stability and the order of convergence are assessed for a wide range of Péclet numbers. Recommendations are then given as to which model to select depending on the value Peg—in particular, it is shown that the coupled finite-difference/Lattice-Boltzmann provide stable solutions in the case Pe→∞, Peg→∞.

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References 20 · Cited by 27

Research works printed but not linked: 2

  1. T. Krüger, H. Kasumaatmaja, A. Kuzmim, O. Shardt, G. Silva, E.M. Viggen, The Lattice Boltzmann Method, No. March 2015, Springer, 2017, pp. 1-18, http://dx.doi.org/10.1007/978-3-319-44649-3, arXiv:arXiv:1011.1669v3. · DOI · Paper page
  2. J.P. Weiss, Numerical Analysis of LBMs for the Heat Equation on a Bounded Interval (Ph.D. thesis), Universitätsverlag Karlsruhe, 2006, p. 208.

Authors
Dapelo, D., Simonis, S., Krause, M. J., & Bridgeman, J.
Affiliations
  • University of Bradford (GB)
  • Karlsruhe Institute of Technology (DE)
Corresponding author
Dapelo, Davide
Venue
Journal of Computational Science
Publisher
Elsevier BV
Published
2021-04
Volume
51
Pages
101363
ISSN
1877-7503 (ISSN-L)
OpenAlex
W3143022815
Cited by
27
References
20
Citations by year
2026: 4 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 4 · 2021: 2
FWCI
2.84
Type
journal article
Language
en
Open access
Locations
  • Journal of Computational Science (publishedVersion, cc-by)
  • Repository KITopen (Karlsruhe Institute of Technology) (submittedVersion, cc-by)
  • Bradford Scholars (University of Bradford) (submittedVersion, cc-by)
  • KITopen (cc-by)
Funders
  • Karlsruhe Institute of Technology
  • Engineering and Physical Sciences Research Council (EP/R01485X/1)
  • Deutsche Forschungsgemeinschaft (DFG 436212129)
Topics
  • Physical Sciences › Engineering › Computational Mechanics › Lattice Boltzmann Simulation Studies
  • Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
  • Physical Sciences › Engineering › Computational Mechanics › Advanced Numerical Methods in Computational Mathematics
Keywords
lattice Boltzmann method, Peclet number, numerical instability, unidirectional coupling, Navier-Stokes solver, upwind schemes, discontinuous initial conditions, convergence order

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