Hybrid LBM-FVM and LBM-MCM Methods for Fluid Flow and Heat Transfer Simulation
Zheng Li, Mo Yang, Yuwen Zhang

TL;DR
This paper develops multiscale numerical methods combining lattice Boltzmann, finite volume, and Monte Carlo techniques to effectively simulate fluid flow and heat transfer across different scales in industrial applications.
Contribution
It introduces two strategies for combining single-scale numerical methods into multiscale approaches, enabling accurate simulations of complex fluid and heat transfer problems.
Findings
Two multiscale strategies are discussed: domain decomposition with message passing and parameter-specific method application.
The methods facilitate solving multi-scale fluid flow and heat transfer problems.
The approaches improve simulation accuracy across different scales.
Abstract
The fluid flow and heat transfer problems encountered in industry applications span into different scales and there are different numerical methods for different scales problems. It is not possible to use single scale method to solve problems involving multiple scales. Multiscale methods are needed to solve problems involving multiple scales. In this chapter, meso-macro-multiscale methods are developed by combining various single scale numerical methods, including lattice Boltzmann method (LBM), finite volume method (FVM) and Monte Carlo method (MCM). Macroscale methods include FVM, while LBM and MCM belongs to mesoscale methods. Two strategies exist in combing these numerical methods. For the first one, the whole domain is divided into multiple subdomains and different domains use various numerical methods. Message passing among subdomains decides the accuracy of this type of…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Aerodynamics and Fluid Dynamics Research · Model Reduction and Neural Networks
