Computational assessment of immersed boundary–lattice Boltzmann method for complex moving boundary problems

In the present work, we investigate the accuracy and robustness of our in-house OpenMP parallelized direct-forcing immersed boundary–lattice Boltzmann (DF-IB-LB) solver by undertaking studies on accuracy, discrete conservation, Galilean invariance and quantification of spurious force oscillations (S...

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Veröffentlicht in:Computational particle mechanics 2023-02, Vol.10 (1), p.155-172
Hauptverfasser: Majumder, Sambit, Ghosh, Arnab, Basu, Dipankar Narayan, Natarajan, Ganesh
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container_title Computational particle mechanics
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creator Majumder, Sambit
Ghosh, Arnab
Basu, Dipankar Narayan
Natarajan, Ganesh
description In the present work, we investigate the accuracy and robustness of our in-house OpenMP parallelized direct-forcing immersed boundary–lattice Boltzmann (DF-IB-LB) solver by undertaking studies on accuracy, discrete conservation, Galilean invariance and quantification of spurious force oscillations (SFO). Our study reveals that DF-IB-LB exhibits first and second-order spatial accuracy for velocity and pressure errors, respectively, for generic moving boundary problems. The method is found to be Galilean invariant, while errors in discrete conservation and SFO decay linearly and superlinearly, respectively, with grid refinement. The numerical simulations with the proposed solver on a vast number of complex moving boundary problems involving imposed and induced motion highlight its efficacy as a fast, robust and accurate framework for single-phase flows with and without fluid–particle interactions.
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subjects Accuracy
Classical and Continuum Physics
Computational Science and Engineering
Engineering
Errors
Grid refinement (mathematics)
Particle interactions
Robustness (mathematics)
Single-phase flow
Solvers
Theoretical and Applied Mechanics
title Computational assessment of immersed boundary–lattice Boltzmann method for complex moving boundary problems
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