Literature DB >> 25353601

Choice of boundary condition for lattice-Boltzmann simulation of moderate-Reynolds-number flow in complex domains.

Rupert W Nash1, Hywel B Carver2, Miguel O Bernabeu2, James Hetherington3, Derek Groen1, Timm Krüger4, Peter V Coveney1.   

Abstract

Modeling blood flow in larger vessels using lattice-Boltzmann methods comes with a challenging set of constraints: a complex geometry with walls and inlets and outlets at arbitrary orientations with respect to the lattice, intermediate Reynolds (Re) number, and unsteady flow. Simple bounce-back is one of the most commonly used, simplest, and most computationally efficient boundary conditions, but many others have been proposed. We implement three other methods applicable to complex geometries [Guo, Zheng, and Shi, Phys. Fluids 14, 2007 (2002); Bouzidi, Firdaouss, and Lallemand, Phys. Fluids 13, 3452 (2001); Junk and Yang, Phys. Rev. E 72, 066701 (2005)] in our open-source application hemelb. We use these to simulate Poiseuille and Womersley flows in a cylindrical pipe with an arbitrary orientation at physiologically relevant Re number (1-300) and Womersley (4-12) numbers and steady flow in a curved pipe at relevant Dean number (100-200) and compare the accuracy to analytical solutions. We find that both the Bouzidi-Firdaouss-Lallemand (BFL) and Guo-Zheng-Shi (GZS) methods give second-order convergence in space while simple bounce-back degrades to first order. The BFL method appears to perform better than GZS in unsteady flows and is significantly less computationally expensive. The Junk-Yang method shows poor stability at larger Re number and so cannot be recommended here. The choice of collision operator (lattice Bhatnagar-Gross-Krook vs multiple relaxation time) and velocity set (D3Q15 vs D3Q19 vs D3Q27) does not significantly affect the accuracy in the problems studied.

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Year:  2014        PMID: 25353601     DOI: 10.1103/PhysRevE.89.023303

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  11 in total

1.  Suitability of lattice Boltzmann inlet and outlet boundary conditions for simulating flow in image-derived vasculature.

Authors:  Bradley Feiger; Madhurima Vardhan; John Gounley; Matthew Mortensen; Priya Nair; Rafeed Chaudhury; David Frakes; Amanda Randles
Journal:  Int J Numer Method Biomed Eng       Date:  2019-04-01       Impact factor: 2.747

2.  Computational fluid dynamics assisted characterization of parafoveal hemodynamics in normal and diabetic eyes using adaptive optics scanning laser ophthalmoscopy.

Authors:  Yang Lu; Miguel O Bernabeu; Jan Lammer; Charles C Cai; Martin L Jones; Claudio A Franco; Lloyd Paul Aiello; Jennifer K Sun
Journal:  Biomed Opt Express       Date:  2016-11-04       Impact factor: 3.732

3.  Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations.

Authors:  D Groen; J Borgdorff; C Bona-Casas; J Hetherington; R W Nash; S J Zasada; I Saverchenko; M Mamonski; K Kurowski; M O Bernabeu; A G Hoekstra; P V Coveney
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

4.  Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements.

Authors:  Derek Groen; Robin A Richardson; Rachel Coy; Ulf D Schiller; Hoskote Chandrashekar; Fergus Robertson; Peter V Coveney
Journal:  Front Physiol       Date:  2018-06-19       Impact factor: 4.566

5.  An efficient, localised approach for the simulation of elastic blood vessels using the lattice Boltzmann method.

Authors:  J W S McCullough; P V Coveney
Journal:  Sci Rep       Date:  2021-12-20       Impact factor: 4.379

6.  Impact of blood rheology on wall shear stress in a model of the middle cerebral artery.

Authors:  Miguel O Bernabeu; Rupert W Nash; Derek Groen; Hywel B Carver; James Hetherington; Timm Krüger; Peter V Coveney
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

7.  Computer simulations reveal complex distribution of haemodynamic forces in a mouse retina model of angiogenesis.

Authors:  Miguel O Bernabeu; Martin L Jones; Jens H Nielsen; Timm Krüger; Rupert W Nash; Derek Groen; Sebastian Schmieschek; James Hetherington; Holger Gerhardt; Claudio A Franco; Peter V Coveney
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

8.  MRI-based computational hemodynamics in patients with aortic coarctation using the lattice Boltzmann methods: Clinical validation study.

Authors:  Hanieh Mirzaee; Thomas Henn; Mathias J Krause; Leonid Goubergrits; Christian Schumann; Mathias Neugebauer; Titus Kuehne; Tobias Preusser; Anja Hennemuth
Journal:  J Magn Reson Imaging       Date:  2016-07-07       Impact factor: 4.813

9.  Modeling Patient-Specific Magnetic Drug Targeting Within the Intracranial Vasculature.

Authors:  Alexander Patronis; Robin A Richardson; Sebastian Schmieschek; Brian J N Wylie; Rupert W Nash; Peter V Coveney
Journal:  Front Physiol       Date:  2018-04-19       Impact factor: 4.566

10.  Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography.

Authors:  Yulei Zhu; Rui Chen; Yu-Hsiang Juan; He Li; Jingjing Wang; Zhuliang Yu; Hui Liu
Journal:  Biomed Eng Online       Date:  2018-05-02       Impact factor: 2.819

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