Mathematical Models and Numerical Simulations for the Blood Flow in Large Vessels

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Mathematical Models and Numerical Simulations for the Blood Flow in Large Vessels Balazs ALBERT 1 Titus PETRILA 2a Corresponding author 1 Babes-Bolyai University M. Kogalniceanu nr. 1 400084 Cluj-Napoca Romania balazsalb@gmail.com 2 Aerospace Consulting B-dul Iuliu Maniu 220 sect 6 061126 Bucharest Romania aosrtransilvania@yahoo.com DOI: 10.13111/2066-8201.2012.4.4.1 Abstract: We are proposing a non-newtonian Cross type rheological model for the blood flow under the conditions of an unsteady flow regime connected with the rhythmic pumping of the blood by the heart. We admit the incompressibility and homogeneity of the blood while its flow is laminar and the exterior body forces are neglected. We take also into account the viscoelastic behavior of the vessel walls. The mathematical equations and the appropriate boundary conditions are considered in cylindrical (axisymmetric) coordinates. Numerical experiments in case of stenosed artery and in artery with aneurysm (using COMSOL Multiphysics 3.3) are made. The variation of the wall shear stress which is believed to have a special importance in the rupture of aneurysms is calculated using both a Newtonian and a non-newtonian model. Key Words: non-newtonian fluid Cross type rheological model viscoelastic walls wall shear stress 1. INTRODUCTION Blood is a relevant example of a non-newtonian fluid. The shear rate dependent viscosity and the viscoelastic behavior come from the elastic structure of red cells which move in a viscous fluid. The Navier-Stokes theory [1] is acceptable for modeling blood flow in large arteries. However the effect of red cells on the viscosity becomes more important at low shear rates (< 100 s -1 ) near the center of the large vessels or in separated regions of recirculating flow. Furthermore in unsteady flows the wall shear stress may be considerably small. In these cases the viscosity cannot be considered as a constant but as a decreasing function of the shear rate. The purpose of this work is to investigate a model for blood which allows by taking into account an accurate calculation of the magnitude and variation of the wall shear stress the detection of the early stages of vascular lesions such as stenosis and aneurysms. Wall shear stress is believed to have a special importance in the rupture of aneurysms [2] [9] [10]. For blood we accept a non-newtonian rheological behavior with a variable coefficient of viscosity under the conditions of an unsteady (pulsatile) flow regime connected with the rhythmic pumping of the blood by the heart. At the same time we admit the incompressibility and homogeneity of the blood while its flow is laminar and the exterior body forces are neglected. The vessel wall is considered to be viscoelastic. The proposed mathematical model has been numerically tested in the case of the blood flow in large arteries with stenosis and aneurysm taking into consideration the viscoelasticity of the a (Assoc.) Member of Academy of Romanian Scientists pp. 3 10 ISSN 2066 8201

Balazs ALBERT Titus PETRILA 4 limiting walls. Viscoelastic materials have time-dependent response to stresses. If the stress time is below the characteristic relaxation time of the constitutive material we remark elastic effects. But if stress time is higher than the characteristic relaxation time the viscous response is noticed [3]. 2. MATHEMATICAL MODEL Accepting the axial-symmetric behavior of the blood flow in the considered vessel the axis of symmetry being Oz the flow domain in cylindrical coordinates ( r z ) at any moment t is defined by ( t) {( r z) / r R ( z t) [02) z (0 L)} where R and L are the (initial at rest) radius and the length of the envisaged vessel tube respectively while ( z t) is the classical deformation (displacement) at the considered moment of the vessel wall. In the half meridian plane = const if u and v are the components of the blood velocity on the directions r and z respectively while p is the pressure (assessed versus a reference pressure p ref ) then in the absence of the exterior forces the mass conservation principle (the continuity equation) is 1 v ( ru) r r z 0. (1) The corresponding motion equations result from the general Cauchy equations v v v divt (2) t where we accept for the stress tensor T the following representation (rheological model for blood) Here K 2 T [ p ( K )] I 2( s RBC ) D RBC is given by the non-newtonian Cross type rheological model 1/ 2 RBC p 1 1 ( k ) 0 n e (3) K ( ) (4) with 4I 2 I 2 being the second invariant of the strain tensor D e and 0 are viscosity coefficients of the blood k is a time constant and n is the index for a shear thinning behavior is a mobility parameter while 1 ( ) 0 1 1 ( ) K e (5) n k where 0 is the above normal function of the variable which measures the deformation variation. The evolution equations are joined to some boundary conditions which express either the elastic behavior of the permeable porous wall or the existence of a pressure gradient

5 Mathematical Models and Numerical Simulations for the Blood Flow in Large Vessels along Oz axis (according to the heart beats and implicitly to the rhythmic blood pushing into the vessel). Specifically v 0 and u 0 at r 0 (5) r and no slip condition at r R. The boundary conditions at "edges" z 0 and z L of the vessel agree with a physiological pulse velocity given by a periodic time-varying function. 3. NUMERICAL EXPERIMENTS The above mathematical model has been tested in the case of the blood flow in large arteries with stenosis and aneurysm taking into consideration the viscoelasticity of the limiting walls. To describe the viscoelastic behavior of the vessel s wall we will use the generalized Maxwell model which is the most general form of the linear model for viscoelasticity. It takes into account that the relaxation does not occur at a single time but at a distribution of times. Due to molecular segments of different lengths with shorter ones contributing less than longer ones there is a varying time distribution. The calculations have been made by using COMSOL Multiphysics 3.3 a powerful modeling package based on the Finite Element Method. We used the pre-built application mode Fluid-Structure Interaction under the Chemical Engineering module Non-Newtonian flow with 2D axial-symmetry for generating our proposed model. We have three dependent variables: the r-velocity u the z-velocity v and the pressure p. The Finite Element Method uses Lagrange p2 elements for the velocities and Lagrange p1 for the pressure. The needed r z and t derivatives are calculated by COMSOL Multiphysics from the grid values at any time step. Of course these derivatives increase the computing complexity and lead us to a highly nonlinear problem. Let us consider an artery "segment" of radius R = 0.005m length L = 0.1m the thickness of the limiting wall being 0.001m. The mass density of the blood has been fixed at =1060kg/m³. Concerning the boundary conditions in order to mimic the heart beats on the input boundary z = 0 we have accepted an oscillatory physiological velocity profile (1s periodic function) Here with the coefficients u = 0 v F( t) 1 7 k 1 r R 2 a0 F ( t) ( ak cos(2kt) bk sin(2kt)) 2 5 a0 2596210 5 5 a1 03577 10 b1 0538410 5 5 a2 0238010 b2 0537910 5 5 a3 0556410 b 3 0186610 5 5 a4 0271810 b4 0074810 5 5 a5 0061910 b 5 0108610

Balazs ALBERT Titus PETRILA 6 5 5 a6 0138610 b 6 0063410 5 5 a7 0061810 b 7 0119410 giving a velocity profile similar to the one used in [4] see figure 1. At the points of the vessel axis of symmetry r = 0 we have imposed the axial symmetry requirements while on the vessel walls - no slip conditions. In order to avoid the transient effect of the initial conditions the time integration interval is t [0 20] and the results are presented for the last 10 periods only t [10 20]. We made the numerical simulations both for an arterial segment with a stenosis and for an arterial segment presenting an aneurysm. Figure 1: Pulsatile volumetric flow rate [4] First we begin with the simpler case of the Newtonian model where the dynamic viscosity of the blood has a constant value of = 0.005Pas. Than for the non-newtonian case we have chosen the above mentioned Cross rheological model 0 ( ) s 1 n 1 k where the coefficients s = 0.00345Pas 0 = 0.0465Pas k = 1036 n = 02 were obtained experimentally [5]. u v For all cases we calculated the wall shear stress wss at particular points z r (see figure 2) this quantity is responsible for possible ruptures of the vessel wall. The evolution of the WSS for t [10 20] is given in figures 3 4 5 and 6.

7 Mathematical Models and Numerical Simulations for the Blood Flow in Large Vessels Figure 2: a) stenosed artery with two particular points P1 and P2 b) artery with aneurysm with two particular points P3 and P4 Figure 3: WSS at point P1 (stenosed artery) in Newtonian and non-newtonian case

Balazs ALBERT Titus PETRILA 8 Figure 4: WSS at point P2 (stenosed artery) in Newtonian and non-newtonian case Figure 5: WSS at point P3 (artery with aneurysm) in Newtonian and non-newtonian case

9 Mathematical Models and Numerical Simulations for the Blood Flow in Large Vessels Figure 6: WSS at point P4 (artery with aneurysm) in Newtonian and non-newtonian case 4. CONCLUSIONS When the value of the shear rate ( ) is between 10 - ² 1/s and 10² 1/s the dependence of the viscosity on the shear rate is linear. In this interval the difference between the Newtonian and the non-newtonian model is insignificant but outside this interval the non-newtonian model is more accurate for describing the blood flow in large vessels. In figure 3 and 4 it can be clearly seen that the values for the WSS are much higher in the middle of the stenosis than in the zone right after the stenosis. In figure 5 and 6 we can observe that the values for the WSS are much lower in the middle of the aneurysm. REFERENCES [1] T. Petrila and D. Trif Basics of fluid mechanics and introduction to computational fluid dynamics ISBN 0-387-23837-9 Springer U.S.A. 2005. [2] A. Logg K.-A. Mardal and G. N. Wells Automated Solution of Differential Equations by the Finite Element Method ISBN: 978-3-642-23098-1 Chapter 23 pp. 442 Springer Lecture Notes in Computational Science 2012. [3] G. Audry Propagation of Pulsated Waves in Viscoelastic Tubes: Application in Arterial Flows PhD Thesis pp. 17 2010. [4] E. A. Finol and C. H. Amon Flow Dynamics in Anatomical Models of Abdominal Aortic Aneurysms: Computational Analysis of Pulsatile Flow Acta Científica Venezolana ISSN 0001-5504 Vol. 54 pp. 43-49 2003. [5] C. Balan Experimental and numerical investigations on the pure material instability of an Oldroyd's 3- constant model Continuum Mech. Continuum Mech. Thermodyn. ISSN 0935-1175 Vol. 13 pp. 399-414 2001. [6] A. Calin M. Wilhelm C. Balan Determination of the non-linear parameter (mobility factor) of the Giesekus constitutive model using LAOS procedure J. of Non-Newtonian Fluid Mechanics ISSN 0377-0257 165 23-24 pp. 1564-1577 2010.

Balazs ALBERT Titus PETRILA 10 [7] Th. Papaioannou Ch. Stefanadis Vascular Wall Shear Stress: Basic Principles and Methods Hellenic J. Cardiol. ISSN 1011-7970 Vol. 46 1 pp. 9-15 2005. [8] N. Stergiopulos D.F. Young T.R. Rogge Computer simulation of arterial flow with applications to arterial and aortic stenoses J. Biomechanics ISSN 0021-9290 Vol. 25 12 pp. 1477-1488 1992. [9] N. Paulo J. Cascarejo and L. Vouga Syphilitic aneurysm of the ascending aorta Interactive Cardiovasc Thoracic Surgery ISSN 1569-9293 Vol. 14 no. 2 pp. 223-225 2011. [10] M. Revest O. Decaux T. Frouget C. Cazalets B. Cador P. Jégo et al. Syphilitic aortitis. Experience of an internal medicine unit Rev Med Interne ISSN 0248-8663 Vol. 27 1 pp. 16-20 2006.