Computational performance of SequenceL coding of the lattice Boltzmann method for multi-particle flow simulations

Başağaoğlu, Hakan; Blount, Justin; Blount, Jarred; Nelson, Bryant C.; Succi, Sauro; Westhart, Phil M.; Harwell, John R.

doi:10.1016/j.cpc.2016.12.012

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…Their simulations revealed that any irregularity on wall surfaces could cause temporary or permanent clogging of the flow field if hydrodynamic forces on the particle cannot overcome unevenly distributed repulsive barrier on the channel wall. Başağaoğlu et al used the LJ 6-12 model to simulate chemotatic motility [220] or flow [221,222] of circular particles in a Newtonian fluid, settling or flow of a mixture of non-circular particles in a Newtonian fluid, and flow of a mixture of non-circular particles in a non-Newtonian fluid [145,146]. Using the LJ 6-12 potentials, Başağaoğlu et al [146] demonstrated that steady vortices do not necessarily always control particle entrapments nor do larger particles get selectively entrapped in steady vortices in a microfluidic chamber.…”

Section: Lennard-jones Potentialsmentioning

confidence: 99%

A Review on Contact and Collision Methods for Multi-Body Hydrodynamic Problems in Complex Flows

Karimnejad¹,

Delouei²,

Başağaoğlu³

et al. 2022

CICP

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Modeling and direct numerical simulation of particle-laden flows have a tremendous variety of applications in science and engineering across a vast spectrum of scales from pollution dispersion in the atmosphere, to fluidization in the combustion process, to aerosol deposition in spray medication, along with many others. Due to their strongly nonlinear and multiscale nature, the above complex phenomena still raise a very steep challenge to the most computational methods. In this review, we provide comprehensive coverage of multibody hydrodynamic (MBH) problems focusing on particulate suspensions in complex fluidic systems that have been simulated using hybrid Eulerian-Lagrangian particulate flow models. Among these hybrid models, the Immersed Boundary-Lattice Boltzmann Method (IB-LBM) provides mathematically simple and computationally-efficient algorithms for solid-fluid hydrodynamic interactions in MBH simulations. This paper elaborates on the mathematical framework, applicability, and limitations of various 'simple to complex' representations of close-contact interparticle interactions and collision methods, including short-range interparticle and particle-wall steric interactions, spring and lubrication forces, normal and oblique collisions, and mesoscale molecular models for deformable particle collisions based on hard-sphere and soft-sphere models in MBH models to simulate settling or flow of nonuniform particles of different geometric shapes and sizes in diverse fluidic systems.

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Section: Lennard-jones Potentialsmentioning

confidence: 99%

A Review on Contact and Collision Methods for Multi-Body Hydrodynamic Problems in Complex Flows

Karimnejad¹,

Delouei²,

Başağaoğlu³

et al. 2022

CICP

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“…As mentioned before, a great advantage of LBMs is their capacity of significant acceleration which is straightforward, due to the inherently parallel characteristics of LBM. The parallel implementation of the algorithm of the model can be realised with advanced programming languages compatible with multi-core processors [27] or specialised hardware -like Field Programmable Gate Arrays (FPGAs) [28,29] or Graphics Processing Units (GPUs) [30].…”

Section: Previous Workmentioning

confidence: 99%

Modelling Microbial Fuel Cells Using Lattice Boltzmann Methods

Tsompanas

Adamatzky

Ieropoulos

et al. 2019

IEEE/ACM Trans. Comput. Biol. and Bioinf.

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An accurate modelling of bio-electrochemical processes that govern Microbial Fuel Cells (MFCs) and mapping their behaviour according to several parameters will enhance the development of MFC technology and enable their successful implementation in well defined applications. The geometry of the electrodes is among key parameters determining efficiency of MFCs due to the formation of a biofilm of anodophilic bacteria on the anode electrode, which is a decisive factor for the functionality of the device. We simulate the bio-electrochemical processes in an MFC while taking into account the geometry of the electrodes. Namely, lattice Boltzmann methods are used to simulate the fluid dynamics and the advection-diffusion phenomena in the anode compartment. The model is verified on voltage and current outputs of a single MFC derived from laboratory experiments under continuous flow. Conclusions can be obtained from a parametric analysis of the model concerning the design of the geometry of the anode compartment, the positioning and microstructure of the anode electrode, in order to achieve more efficient overall performance of the system. An example of such a parametric analysis is presented here, taking into account the positioning of the electrode in the anode compartment.

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“…The lattice Boltzmann model for two‐dimensional (2D) shallow water equations (LABSWE) was introduced by researchers, 6,7 and it was further improved by other researchers on local equilibrium distribution function, force terms, and boundary conditions 8‐11 . Because of its explicit format, this method is desirable for parallel processing, especially with the OpenMP 12 and the CUDA platforms 13…”

Section: Introductionmentioning

confidence: 99%

A lattice Boltzmann model for shallow water equations on the smoothed quadtree grid

Liu

et al. 2021

Numerical Methods in Fluids

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In hydraulic simulation, the fine land‐water boundary often means more accurate result but more lattices and time cost. In this study, we developed a smoothed quadtree grid and introduced it into the lattice Boltzmann model for the shallow water equations (LABSWE) to balance this problem. The recommended grid is meticulously designed to own a minimum width of advantage over a uniform grid or multi‐block grid, and can describe the zigzag boundary via smaller size lattices with acceptable total number of lattice. As an improved multi‐block grid, the lattices are numbered in serialization for facilitating data storage and parallel computation, and a standardized process is developed to employ this grid in the LABSWE. The spatial interpolation is modified based on the water surface and fluxes instead of the water depth and velocities, in order to satisfy the necessary property (N‐property: the numerical scheme can replicate the exact solution to a stationary case ui≡0 in which there is a nonzero force or source term). The proposed model is verified by two benchmark tests and then applied to the long‐term simulation of unsteady flows in large aquatorium. The agreement between predictions and analytical results or other solutions are satisfactory. Three popular collision schemes, the Bhatnagar–Gross–Krook (BGK) scheme, the multiple relaxation time (MRT) scheme and the central moments (CMs) scheme, have also been tested, showing that the stability of the MRT and CMs schemes are better than the BGK scheme for the flows with higher Reynolds number, but cost only 4%–6% more computational load.

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Computational performance of SequenceL coding of the lattice Boltzmann method for multi-particle flow simulations

Cited by 4 publications

References 40 publications

A Review on Contact and Collision Methods for Multi-Body Hydrodynamic Problems in Complex Flows

A Review on Contact and Collision Methods for Multi-Body Hydrodynamic Problems in Complex Flows

Modelling Microbial Fuel Cells Using Lattice Boltzmann Methods

A lattice Boltzmann model for shallow water equations on the smoothed quadtree grid

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