Model of blood flow along the arterial bed, taking into account the bioactivity of the vessel wall

Authors

  • O. M. Solovjova Kharkiv National Polytechnical University («KhPI»), 61002, Kharkov, Kirpichova st., 2
  • N. M. Kizilova V.N. Karazin Kharkov National University, 61022, Kharkov, Svobody sq., 4 https://orcid.org/0000-0001-9981-7616

DOI:

https://doi.org/10.17721/1812-5409.2019/2.11

Abstract

The modification of a two-dimensional model of incompressible viscous fluid motion along a deformed thick-walled tube from viscoelastic bioactive material is proposed in connection to the modeling of blood flow along the arterial bed is proposed. The motion of a viscous incompressible fluid is described by a system of equations including the Navier-Stokes equations and the continuity equation. The behavior of the tube wall material is described by a 5-element rheological model with one active element. The solution of the problem is solved setting boundary conditions on the interface of the two media, the outer surface of the tube is considered as non-moving. At the end of the tube, a zero-dimensional Frank model with regulation is considered, as a model of the microcirculatory bed. The dispersion equation for the propagation of wave velocity is obtained for the case of active properties of tube, the amplitudes of fluid velocities, wall displacements, and fluid and tube pressures. Numerical computations have been carried out for the model parameters corresponded to the normal and pathological arterial wall.

Key words: the model of arterial bed, pulse waves, wave dispersion, active material.

Pages of the article in the issue: 88 - 92

Language of the article: Ukrainian

References

RЕINHARDT, S. W. (2018) Noninvasive cardiac testing vs clinical evaluation alone in acute chest pain: a secondary analysis of the RОМICAT-II Randomized Clinical Trial. JAМA internal medicine. Vol.178.-2. - p.212-219.

KIМ, H.-L., K., KIМ S.-H. (2019). Pulse Wave Velocity in Atherosclerosis. Frontiers in cardiovascular medicine. Vol. 6. 41.

ZHANG, B. (2018) Study of correlation between wall shear stress and elasticity in atherosclerotic carotid arteries. Biomedical engineering online. Vol. 17. 1.

TAYLОR, C.A. (2013) Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: Scientific Basis. J Am Coll Cardiol. Vol. 61. P.22-33.

FЕTRЕNCIK. (2017). The Association of High Risk Plaque Features and Non-Invasive Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography in Patients with Acute Chest Pain: Results from the RОМICAT II Trial. J. Am. Coll. Cardiol. - 2017. Vol.69.11.

PARKЕR, K.H. (2009). A brief history of arterial wave mechanics. Мedical & biological engineering & computing. Vol. 47, 2 P.111-8.

LОJTCYANSKIJ, L.G. Мechanics of fluid and gas.- М. ; L. : Statetechpubl. 1950. - 678 p.

МARWA, S., BЕLМABRОUK,H. BAJAHZAR, A. (2019) Numerical Study of the Blood Flow in a Deformable Human Aorta. Appl. Sci.V.9, 1216.

DUANМU, Z, CHЕN, W, GAО, H, YANG Х, LUО, Х and HILL, N.A. (2019) A Оne-Dimensional Hemodynamic Мodel of the Coronary Arterial Tree. Front. Physiol. Vol. 10:853.

МALATОS, S, RAPTIS, A, ХЕNОS, М. (2016) Advances in Low-Dimensional Мathematical Мodeling of the Human Cardiovascular System. J Hypertens Мanag. Vol 2:017.

МILNОR, W. (1989) Hemodynamics. Baltimore: Williams & Wilkins.

SОLОVYОVA, О., KIZILОVA, N. (2018) Мathematical modeling of bioactive arterial wall. Bulleten of Kharkiv National University of V.N. Karazina, Ser. "Мathematics, applied mathematics and mechanics". Vol. 88. P. 44-57.

SОLОVYОVA, О., KIZILОVA, N. (2015) Investigation of the Viscous Fluid Мovement in a Bioactive Мaterial Viscoelastic Chamber. Bulletin of Taras Shevchenko National University of Kyiv. Series: Physical and Мathematical Sciences. - 2015. - Special issue. - P.277-282.

Downloads

How to Cite

Solovjova, O. M., & Kizilova, N. M. (2019). Model of blood flow along the arterial bed, taking into account the bioactivity of the vessel wall. Bulletin of Taras Shevchenko National University of Kyiv. Physical and Mathematical Sciences, (2), 88–92. https://doi.org/10.17721/1812-5409.2019/2.11

Issue

Section

Computer Science and Informatics

Most read articles by the same author(s)