Assessment of surface roughness and blood rheology on local coronary haemodynamics: a multi-scale computational fluid dynamics study

被引:14
|
作者
Owen, David G. [1 ]
Schenkel, Torsten [2 ]
Shepherd, Duncan E. T. [1 ]
Espino, Daniel M. [1 ]
机构
[1] Univ Birmingham, Dept Mech Engn, Birmingham, W Midlands, England
[2] Sheffield Hallam Univ, Mat & Engn Res Inst MERI, Dept Engn & Math, Sheffield, S Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
computational fluid dynamics; coronary; multiphase; red blood cell migration; rheology; roughness; WALL SHEAR-STRESS; NON-NEWTONIAN MODELS; NUMERICAL-SIMULATION; PLAQUE LOCATION; PULSATILE FLOW; NEAR-WALL; ARTERY; VESSEL; ATHEROSCLEROSIS; BIFURCATION;
D O I
10.1098/rsif.2020.0327
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The surface roughness of the coronary artery is associated with the onset of atherosclerosis. The study applies, for the first time, the micro-scale variation of the artery surface to a 3D coronary model, investigating the impact on haemodynamic parameters which are indicators for atherosclerosis. The surface roughness of porcine coronary arteries have been detailed based on optical microscopy and implemented into a cylindrical section of coronary artery. Several approaches to rheology are compared to determine the benefits/limitations of both single and multiphase models for multi-scale geometry. Haemodynamic parameters averaged over the rough/smooth sections are similar; however, the rough surface experiences a much wider range, with maximum wall shear stress greater than 6 Pa compared to the approximately 3 Pa on the smooth segment. This suggests the smooth-walled assumption may neglect important near-wall haemodynamics. While rheological models lack sufficient definition to truly encompass the micro-scale effects occurring over the rough surface, single-phase models (Newtonian and non-Newtonian) provide numerically stable and comparable results to other coronary simulations. Multiphase models allow for phase interactions between plasma and red blood cells which is more suited to such multi-scale models. These models require additional physical laws to govern advection/aggregation of particulates in the near-wall region.
引用
收藏
页数:16
相关论文
共 26 条
  • [1] Computational fluid dynamics for nuclear applications: from CFD to multi-scale CMFD
    Yadigaroglu, G
    [J]. NUCLEAR ENGINEERING AND DESIGN, 2005, 235 (2-4) : 153 - 164
  • [2] Framework for integrated multi-scale computational fluid dynamics simulations in natural ventilation design
    Kalua, Amos
    Jones, James
    Battaglia, Francine
    Grant, Elizabeth
    [J]. BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, 2024, : 733 - 753
  • [3] Computational fluid dynamics study of the impact of surface roughness on cyclone performance and erosion
    Foroozesh, J.
    Parvaz, F.
    Hosseini, S. H.
    Ahmadi, G.
    Elsayed, K.
    Babaoglu, Nihan Uygur
    [J]. POWDER TECHNOLOGY, 2021, 389 (389) : 339 - 354
  • [4] Multi-scale physical model simulation of particle filtration using computational fluid dynamics
    Li, Haochen
    Sansalone, John
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 271
  • [5] Multi-scale computational fluid dynamics of impregnation die for thermoplastic carbon fiber prepreg production
    Ngo, Son Ich
    Lim, Young-Il
    Hahn, Moon-Heui
    Jung, Jaeho
    Bang, Yun-Hyuk
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2017, 103 : 58 - 68
  • [6] Probing red blood cell mechanics, rheology and dynamics with a two-component multi-scale model
    Li, Xuejin
    Peng, Zhangli
    Lei, Huan
    Dao, Ming
    Karniadakis, George Em
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2014, 372 (2021):
  • [7] Computational fluid dynamics for dense gas-solid fluidized beds: a multi-scale modeling strategy
    van der Hoef, MA
    Annaland, MV
    Kuipers, JAM
    [J]. CHEMICAL ENGINEERING SCIENCE, 2004, 59 (22-23) : 5157 - 5165
  • [8] COMPUTATIONAL FLUID DYNAMICS FOR DENSE GAS-SOLID FLUIDIZED BEDS: A MULTI-SCALE MODELING STRATEGY
    M. A. van der Hoef
    M. van Sint Annaland
    J. A. M. Kuipers
    [J]. Particuology, 2005, (Z1) : 69 - 77
  • [9] Simulating Multi-Scale Pulmonary Vascular Function by Coupling Computational Fluid Dynamics With an Anatomic Network Model
    Ebrahimi, Behdad Shaarbaf
    Kumar, Haribalan
    Tawhai, Merryn H.
    Burrowes, Kelly S.
    Hoffman, Eric A.
    Clark, Alys R.
    [J]. FRONTIERS IN NETWORK PHYSIOLOGY, 2022, 2
  • [10] Prediction of degree of impregnation in thermoplastic unidirectional carbon fiber prepreg by multi-scale computational fluid dynamics
    Ngo, Son Ich
    Lim, Young-Il
    Hahn, Moon-Heui
    Jung, Jaeho
    [J]. CHEMICAL ENGINEERING SCIENCE, 2018, 185 : 64 - 75