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Computation
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CFD: Recent Advances in Lattice Boltzmann Methods
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CFD: Recent Advances in Lattice Boltzmann Methods

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (31 May 2017) | Viewed by 38125

Special Issue Editor

Dr. Christian F. Janßen

E-Mail Website
Guest Editor
Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology (TUHH), Am Schwarzenberg-Campus 4, 21073 Hamburg, Germany
Interests: CFD; lattice boltzmann method; GPU computing; free surface flows
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is concerned with recent advances in the Lattice Boltzmann Method (LBM). The LBM has recently matured as a viable alternative to conventional Computational Fluid Dynamics (CFD) approaches that employ Finite Volume, Finite Difference or Finite Element approximations of continuum physics equations, mostly Navier-Stokes (NS). Whilst modeling essentially similar physics as classical continuum mechanics NS procedures, LBM features a number of advantages, particularly concerning data locality and parallel computing, but also in terms of stability and dispersion properties. As the method originates from the Boltzmann equation (being a superset of NS), multi-scale modeling (even up to specific kinetic turbulence models) is possible.

This Special Issue aims at highlighting the current state-of-the-art in the field of LBM and future research directions. Both submissions with an academic background as well as more application-oriented contributions are welcome. The addressed fields of research include, but are not limited to:

  • Modeling aspects: Advanced collision operators beyond LBGK and MRT
  • Improved boundary conditions: Curved boundaries, Second-order pressure BCs, Non-reflecting velocity and pressure boundary conditions
  • Alternative gridding and grid-refinement strategies: Non-Cartesian grids, Overset grids, Compact interpolation, Stretched Cartesian grids
  • Turbulence modeling: Conventional eddy-viscosity closure, Wall-adaptive LES, RANS/LES coupling, Wall functions, Implicit LES, Turbulent inflow generators
  • Multiphase flows: High density and viscosity ratios, Hybrid perturbation models, Coupling to (inviscid) far-field methods, Singlephase free-surface models with and without surface tension
  • Performance aspects: HPC implementations on large-scale clusters and/or GPUs, Interactive monitoring, Interactive steering
  • Innovative large-scale applications of practical relevance

Dr. Christian F. Janßen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Computational Fluid Dynamics
  • Lattice Boltzmann Method
  • High-Performance Computing
  • Multi-Scale Modeling

Published Papers (6 papers)

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1525 KiB  
Article
A Non-Isothermal Chemical Lattice Boltzmann Model Incorporating Thermal Reaction Kinetics and Enthalpy Changes
by Stuart Bartlett
Computation 2017, 5(3), 37; https://doi.org/10.3390/computation5030037 - 09 Aug 2017
Cited by 5 | Viewed by 4865
Abstract
The lattice Boltzmann method is an efficient computational fluid dynamics technique that can accurately model a broad range of complex systems. As well as single-phase fluids, it can simulate thermohydrodynamic systems and passive scalar advection. In recent years, it also gained attention as [...] Read more.
The lattice Boltzmann method is an efficient computational fluid dynamics technique that can accurately model a broad range of complex systems. As well as single-phase fluids, it can simulate thermohydrodynamic systems and passive scalar advection. In recent years, it also gained attention as a means of simulating chemical phenomena, as interest in self-organization processes increased. This paper will present a widely-used and versatile lattice Boltzmann model that can simultaneously incorporate fluid dynamics, heat transfer, buoyancy-driven convection, passive scalar advection, chemical reactions and enthalpy changes. All of these effects interact in a physically accurate framework that is simple to code and readily parallelizable. As well as a complete description of the model equations, several example systems will be presented in order to demonstrate the accuracy and versatility of the method. New simulations, which analyzed the effect of a reversible reaction on the transport properties of a convecting fluid, will also be described in detail. This extra chemical degree of freedom was utilized by the system to augment its net heat flux. The numerical method outlined in this paper can be readily deployed for a vast range of complex flow problems, spanning a variety of scientific disciplines. Full article
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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13572 KiB  
Article
Using an Interactive Lattice Boltzmann Solver in Fluid Mechanics Instruction
by Mirjam S. Glessmer and Christian F. Janßen
Computation 2017, 5(3), 35; https://doi.org/10.3390/computation5030035 - 28 Jul 2017
Cited by 5 | Viewed by 6064
Abstract
This article gives an overview of the diverse range of teaching applications that can be realized using an interactive lattice Boltzmann simulation tool in fluid mechanics instruction and outreach. In an inquiry-based learning framework, examples are given of learning scenarios that address instruction [...] Read more.
This article gives an overview of the diverse range of teaching applications that can be realized using an interactive lattice Boltzmann simulation tool in fluid mechanics instruction and outreach. In an inquiry-based learning framework, examples are given of learning scenarios that address instruction on scientific results, scientific methods or the scientific process at varying levels of student activity, from consuming to applying to researching. Interactive live demonstrations on portable hardware enable new and innovative teaching concepts for fluid mechanics, also for large audiences and in the early stages of the university education. Moreover, selected examples successfully demonstrate that the integration of high-fidelity CFD methods into fluid mechanics teaching facilitates high-quality student research work within reach of the current state of the art in the respective field of research. Full article
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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5825 KiB  
Article
Implicit Large Eddy Simulation of Flow in a Micro-Orifice with the Cumulant Lattice Boltzmann Method
by Ehsan Kian Far, Martin Geier, Konstantin Kutscher and Manfred Krafczyk
Computation 2017, 5(2), 23; https://doi.org/10.3390/computation5020023 - 05 May 2017
Cited by 14 | Viewed by 6417
Abstract
A detailed numerical study of turbulent flow through a micro-orifice is presented in this work. The flow becomes turbulent due to the orifice at the considered Reynolds numbers (∼ 10 4 ). The obtained flow rates are in good agreement with the experimental [...] Read more.
A detailed numerical study of turbulent flow through a micro-orifice is presented in this work. The flow becomes turbulent due to the orifice at the considered Reynolds numbers (∼ 10 4 ). The obtained flow rates are in good agreement with the experimental measurements. The discharge coefficient and the pressure loss are presented for two input pressures. The laminar stress and the generated turbulent stresses are investigated in detail, and the location of the vena contracta is quantitatively reproduced. Full article
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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7364 KiB  
Article
Esoteric Twist: An Efficient in-Place Streaming Algorithmus for the Lattice Boltzmann Method on Massively Parallel Hardware
by Martin Geier and Martin Schönherr
Computation 2017, 5(2), 19; https://doi.org/10.3390/computation5020019 - 23 Mar 2017
Cited by 46 | Viewed by 7637
Abstract
We present and analyze the Esoteric Twist algorithm for the Lattice Boltzmann Method. Esoteric Twist is a thread safe in-place streaming method that combines streaming and collision and requires only a single data set. Compared to other in-place streaming techniques, Esoteric Twist minimizes [...] Read more.
We present and analyze the Esoteric Twist algorithm for the Lattice Boltzmann Method. Esoteric Twist is a thread safe in-place streaming method that combines streaming and collision and requires only a single data set. Compared to other in-place streaming techniques, Esoteric Twist minimizes the memory footprint and the memory traffic when indirect addressing is used. Esoteric Twist is particularly suitable for the implementation of the Lattice Boltzmann Method on Graphic Processing Units. Full article
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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4121 KiB  
Article
Effect of Pore Structure on Soot Deposition in Diesel Particulate Filter
by Kazuhiro Yamamoto and Tatsuya Sakai
Computation 2016, 4(4), 46; https://doi.org/10.3390/computation4040046 - 02 Dec 2016
Cited by 18 | Viewed by 6859
Abstract
Nowadays, in the after-treatment of diesel exhaust gas, a diesel particulate filter (DPF) has been used to trap nano-particles of the diesel soot. However, as there are more particles inside the filter, the pressure which corresponds to the filter backpressure increases, which worsens [...] Read more.
Nowadays, in the after-treatment of diesel exhaust gas, a diesel particulate filter (DPF) has been used to trap nano-particles of the diesel soot. However, as there are more particles inside the filter, the pressure which corresponds to the filter backpressure increases, which worsens the fuel consumption rate, together with the abatement of the available torque. Thus, a filter with lower backpressure would be needed. To achieve this, it is necessary to utilize the information on the phenomena including both the soot transport and its removal inside the DPF, and optimize the filter substrate structure. In this paper, to obtain useful information for optimization of the filter structure, we tested seven filters with different porosities and pore sizes. The porosity and pore size were changed systematically. To consider the soot filtration, the particle-laden flow was simulated by a lattice Boltzmann method (LBM). Then, the flow field and the pressure change were discussed during the filtration process. Full article
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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6100 KiB  
Article
Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier–Stokes Solvers
by Atanas Atanasov, Benjamin Uekermann, Carlos A. Pachajoa Mejía, Hans-Joachim Bungartz and Philipp Neumann
Computation 2016, 4(4), 38; https://doi.org/10.3390/computation4040038 - 17 Oct 2016
Cited by 4 | Viewed by 4983
Abstract
We present an Anderson acceleration-based approach to spatially couple three-dimensional Lattice Boltzmann and Navier–Stokes (LBNS) flow simulations. This allows to locally exploit the computational features of both fluid flow solver approaches to the fullest extent and yields enhanced control to match the LB [...] Read more.
We present an Anderson acceleration-based approach to spatially couple three-dimensional Lattice Boltzmann and Navier–Stokes (LBNS) flow simulations. This allows to locally exploit the computational features of both fluid flow solver approaches to the fullest extent and yields enhanced control to match the LB and NS degrees of freedom within the LBNS overlap layer. Designed for parallel Schwarz coupling, the Anderson acceleration allows for the simultaneous execution of both Lattice Boltzmann and Navier–Stokes solver. We detail our coupling methodology, validate it, and study convergence and accuracy of the Anderson accelerated coupling, considering three steady-state scenarios: plane channel flow, flow around a sphere and channel flow across a porous structure. We find that the Anderson accelerated coupling yields a speed-up (in terms of iteration steps) of up to 40% in the considered scenarios, compared to strictly sequential Schwarz coupling. Full article
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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