Computational modelling of flow through prosthetic heart valves using the entropic lattice-Boltzmann method

被引:38
作者
Yun, B. Min [1 ]
Dasi, L. P. [2 ]
Aidun, C. K. [1 ,3 ]
Yoganathan, A. P. [1 ,4 ,5 ]
机构
[1] Georgia Inst Technol, GW Woodruff Sch Mech Engn, Atlanta, GA 30318 USA
[2] Colorado State Univ, Dept Mech Engn, Ft Collins, CO 80523 USA
[3] Georgia Inst Technol, Parker H Petit Inst Bioengn & Biosci, Atlanta, GA 30332 USA
[4] Georgia Inst Technol, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30332 USA
[5] Emory Univ, Atlanta, GA 30332 USA
关键词
biomedical flows; computational methods; vortex dynamics; PARTICLE IMAGE VELOCIMETRY; BLOOD DAMAGE; HINGE; SIMULATIONS; TURBULENCE; PERFORMANCE; FIELDS; FLUID;
D O I
10.1017/jfm.2014.54
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Previous clinical, in vitro experimental and in silico simulation studies have shown the complex dynamics of flow through prosthetic heart valves. In the case of bileaflet mechanical heart valves (BMHVs), complex flow phenomena are observed due to the presence of two rigid leaflets. A numerical method for this type of study must be able to accurately simulate pulsatile flow through BMHVs with the inclusion of leaflet motion and high-Reynolds-number flow modelling. Consequently, this study aims at validating a numerical method that captures the flow dynamics for pulsatile flow through a BMHV. A 23 mm St. Jude Medical (SJM) Regent (TM) valve is selected for use in both the experiments and numerical simulations. The entropic lattice-Boltzmann method is used to simulate pulsatile flow through the valve with the inclusion of reverse leakage flow, while prescribing the flowrate and leaflet motion from experimental data. The numerical simulations are compared against experimental digital particle image velocimetry (DPIV) results from a previous study for validation. The numerical method is shown to match well with the experimental results quantitatively as well as qualitatively. Simulations are performed with efficient parallel processing at very high spatiotemporal resolution that can capture the finest details in the pulsatile BMHV flow field. This study validates the lattice-Boltzmann method as suitable for simulating pulsatile, high-Reynolds-number flows through prosthetic devices for use in future research.
引用
收藏
页码:170 / 201
页数:32
相关论文
共 50 条
[21]   High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method [J].
Hegele Jr, L. A. ;
Scagliarini, A. ;
Sbragaglia, M. ;
Mattila, K. K. ;
Philippi, P. C. ;
Puleri, D. F. ;
Gounley, J. ;
Randles, A. .
PHYSICAL REVIEW E, 2018, 98 (04)
[22]   Multilayer shallow water flow using lattice Boltzmann method with high performance computing [J].
Tubbs, Kevin R. ;
Tsai, Frank T. -C. .
ADVANCES IN WATER RESOURCES, 2009, 32 (12) :1767-1776
[23]   Parallel computation of two-phase flow in a microchannel using the lattice Boltzmann method [J].
Alapati, Suresh ;
Kang, Sangmo ;
Suh, Yong Kweon .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2009, 23 (09) :2492-2501
[24]   Numerical simulation of the flow and output of a Savonius hydraulic turbine using the lattice Boltzmann method [J].
Uchiyama, Tomomi ;
Seta, Takeshi ;
Iio, Shouichiro ;
Ikeda, Toshihiko ;
Takamure, Kotaro .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2024, 16 (02)
[25]   Free-surface flow simulations with floating objects using lattice Boltzmann method [J].
Watanabe, Seiya ;
Kawahara, Jun ;
Aoki, Takayuki ;
Sugihara, Kenta ;
Takase, Shinsuke ;
Moriguchi, Shuji ;
Hashimoto, Hirotada .
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2023, 17 (01)
[26]   Investigation of the characteristics of particulate flows through fibrous filters using the lattice Boltzmann method [J].
Rabiee, Marzie Babaie ;
Talebi, Shahram ;
Abouali, Omid ;
Izadpanah, Ehsan .
PARTICUOLOGY, 2015, 21 :90-98
[27]   Blood Damage Through a Bileaflet Mechanical Heart Valve: A Quantitative Computational Study Using a Multiscale Suspension Flow Solver [J].
Yun, B. Min ;
Aidun, Cyrus K. ;
Yoganathan, Ajit P. .
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2014, 136 (10)
[28]   Transitional flow in intracranial aneurysms - A space and time refinement study below the Kolmogorov scales using Lattice Boltzmann Method [J].
Jain, Kartik ;
Roller, Sabine ;
Mardal, Kent-Andre .
COMPUTERS & FLUIDS, 2016, 127 :36-46
[29]   Modeling soot filter regeneration process through surface-reactive flow in porous media using iterative lattice Boltzmann method [J].
Alamian, R. ;
Sawaf, M. ;
Stockinger, C. ;
Hadjadj, A. ;
Latt, J. ;
Shadloo, M. S. .
ENERGY, 2024, 289
[30]   A computational model of red blood cells using an isogeometric formulation with T-splines and a lattice Boltzmann method [J].
Asai, Yusuke ;
Ishida, Shunichi ;
Takeda, Hironori ;
Nakaie, Gakuto ;
Terahara, Takuya ;
Taniguchi, Yasutoshi ;
Takizawa, Kenji ;
Imai, Yohsuke .
JOURNAL OF FLUIDS AND STRUCTURES, 2024, 125