《计算机应用》唯一官方网站 ›› 2020, Vol. 40 ›› Issue (2): 404-409.DOI: 10.11772/j.issn.1001-9081.2019081388

• 2019年全国开放式分布与并行计算学术年会(DPCS 2019)论文 • 上一篇    下一篇

基于格子Boltzmann方法和大涡模拟的颈动脉分叉狭窄流动并行计算

张毅卓1, 葛森2, 王良军2, 谢江2, 曹洁3, 张武1,2()   

  1. 1.上海大学 上海市应用数学与力学研究所,上海 200444
    2.上海大学 计算机工程与科学学院,上海 200444
    3.上海交通大学 附属仁济医院老年科,上海 310101
  • 收稿日期:2019-07-31 修回日期:2019-08-26 接受日期:2019-09-17 发布日期:2019-10-14 出版日期:2020-02-10
  • 通讯作者: 张武
  • 作者简介:张毅卓(1995—),男,湖北襄阳人,硕士研究生,CCF会员,主要研究方向:计算流体力学、高性能计算
    葛森(1994—),男,河南开封人,硕士研究生,主要研究方向:高性能计算
    王良军(1991—),男,安徽阜阳人,硕士研究生,主要研究方向:高性能计算、计算流体力学
    谢江(1971—),女,湖北恩施人,副教授,博士,CCF高级会员,主要研究方向:生物信息学、高性能计算
    曹洁(1980—),女,上海人,主治医师,硕士,主要研究方向:老年血脂异常;
  • 基金资助:
    国家自然科学基金面上项目(61873156);国家自然科学基金重大研究计划重点项目(91630206)

Parallel computing of bifurcation stenosis flows of carotid artery based on lattice Boltzmann method and large eddy simulation model

Yizhuo ZHANG1, Sen GE2, Liangjun WANG2, Jiang XIE2, Jie CAO3, Wu ZHANG1,2()   

  1. 1.Shanghai Institute of Applied Mathematics and Mechanics,Shanghai University,Shanghai 200444,China
    2.School of Computer Engineering and Science,Shanghai University,Shanghai 200444,China
    3.Department of Geriatrics of RenJi Hospital,Shanghai Jiao Tong University,Shanghai 310101,China
  • Received:2019-07-31 Revised:2019-08-26 Accepted:2019-09-17 Online:2019-10-14 Published:2020-02-10
  • Contact: Wu ZHANG
  • About author:ZHANG Yizhuo, born in 1995, M. S. candidate. His research interests include computational fluid mechanics, high performance computing.
    GE Sen, born in 1994, M. S. candidate. His research interests include high performance computing.
    WANG Liangjun, born in 1991, M. S. candidate. His research interests include high performance computing, computational fluid mechanics.
    XIE Jiang, born in 1971, Ph. D., associate professor. Her research interests include bioinformatics, high performance computing.
    CAO Jie, born in 1980, M. S., attending physician. Her research interests include dyslipidemia in elderly.
  • Supported by:
    the Surface Program of National Natural Science Foundation of China(61873156);the Key Project of Major Research Program of National Natural Science Foundation of China(91630206)

摘要:

颈动脉斑块的形成与复杂的血流动力学因素密切相关,血液流动状况的精确模拟对颈动脉斑块的临床诊断具有重要意义。为了精确模拟脉动流场,在格子Boltzmann方法(LBM)的基础上,添加大涡模拟(LES)模型,建立了LBM-LES颈动脉模拟算法。利用医学图像重构软件,建立颈动脉狭窄真实几何模型,对颈动脉狭窄脉动流动进行了数值模拟,通过计算血液流动速度、壁面剪切应力(WSS)等,得出了有意义的流动结果,验证了LBM-LES对颈动脉狭窄后段血液流动研究的有效性。基于OpenMP编程环境,在高性能集群机全互联胖节点上进行了千万量级网格的并行计算,结果表明LBM-LES颈动脉模拟算法具有较好的并行性能。

关键词: 格子Boltzmann方法, 大涡模拟, 颈动脉狭窄, 壁面剪切力, OpenMP

Abstract:

The formation of carotid artery plaque is closely related to complex hemodynamic factors. The accurate simulation of complex flow conditions is of great significance for the clinical diagnosis of carotid artery plaque. In order to simulate the pulsating flow accurately, Large Eddy Simulation (LES) model was combined with Lattice Boltzmann Method (LBM) to construct a LBM-LES carotid artery simulation algorithm, and a real geometric model of carotid artery stenosis was established through medical image reconstruction software, thus the high-resolution numerical simulation of carotid artery stenosis flows was conducted. By calculating blood flow velocity and Wall Shear Stress (WSS), some meaningful flow results were obtained, proving the effectiveness of LBM-LES in the study of blood flow in the carotid artery narrow posterior. Based on the OpenMP programming environment, the parallel computation of the grid of ten million magnitude was carried out on the fully interconnected fat node of high-performance cluster machine. The results show that the LBM-LES carotid artery simulation algorithm has good parallel performance.

Key words: Lattice Boltzmann Method (LBM), Large Eddy Simulation (LES), carotid artery stenosis, Wall Share Stress (WSS), OpenMP (Open Multi-Processing)

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