Non-Newtonian Mathematical Model and Numerical Simulations for the Blood Flow in Capillary Vessels Balazs ALBERT*,1, Vitalie VACARAS2, Titus PETRILA1,3 *Corresponding author Babes-Bolyai University No. 1 Mihail Kogalniceanu, 400084, Cluj-Napoca, Romania [email protected]* 2 University of Medicine and Pharmacy “Iuliu Hatieganu”, No. 43 Victor Babes, 400012, Cluj-Napoca, Romania 3 Academy of Romanian Scientists, No. 54 Splaiul Independentei, 050094 Bucharest, Romania 1 DOI: 10.13111/2066-8201.2016.8.1.1 Received: 19 January 2016 / Accepted: 08 February 2016 Copyright©2016. Published by INCAS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Abstract: In this paper, taking into consideration the rheological Cross type non-Newtonian model, we elaborate an axial-symmetric mathematical model for the blood flow in capillary vessel with adequate numeric algorithms. We take into account the elastic and porous behavior of the vessel wall which leads to a more realistic approach of the problem. We also accept that the change of substances through these vessels complies with the Starling hypothesis. This hypothesis states that the mass debit through the capillary wall is proportional to the pressure difference between outside and inside the capillaries. The existence of a slip condition along the permeable surface is also accepted using the results of Beavers and Joseph. The numerical experiments are made using COMSOL Multiphysics 3.3. Some numerical results with respect to the velocity field, pressure variation and the wall shear stress are presented. Key Words: rheological Cross model, blood flow in capillary vessel, elastic and porous walls, numerical simulations. 1. INTRODUCTION The capillaries are the smallest blood vessels. There are different types of capillaries as continuous capillaries, fenestrated capillaries and sinusoidal capillaries. Through their thin walls oxygen and nutrients pass to the tissue cells, in exchange for carbon dioxide and other products of cellular activity. Despite the small size and thin walls of the capillaries, the blood pressures may be quite high, as, for instance, in the legs of a person in a motionless upright position. In certain disease states there is increased fragility of the capillary wall, with resultant hemorrhages into the tissues. Vitamin C deficiency and a variety of blood disorders may be associated with increased capillary fragility. The capillaries are freely permeable to water and small molecules but ordinarily are not highly permeable to proteins and other materials. In some pathological situations, such as in certain allergic states (e.g., hives) or because of local injury, as in burns, there may be local areas of permeability, with escape of fluid high in protein into the surrounding tissues. If the INCAS BULLETIN, Volume 8, Issue 1/ 2016, pp. 3 – 11 ISSN 2066 – 8201 Balazs ALBERT, Vitalie VACARAS, Titus PETRILA 4 disease affects the entire body, a significant amount of plasma leaks into the nonvascular spaces, with resultant loss in blood volume [11]. We also remark that concerning the blood-to-brain passage, along all capillaries in the brain, excepting those present in the circumventricular organs, the so-called blood-brain barrier (BBB) is present [2]. In the case of hypertension, etc. the disruption of the blood-brain barrier may occur, which can lead to further difficulties in the change of solutes between the blood (capillaries) and the nervous system [4]. 2. MATHEMATICAL MODEL FOR CAPILLARY VESSELS In this paper we accept for the blood flow a non-Newtonian model with a non-constant viscosity of Cross type. More, we will assume, in spite of the presence of different types of moving blood cells, that the blood behaves as a homogenous fluid, as the flow has a laminar and incompressible character in the absence of any exterior field forces. Concerning the vessels’ walls they are considered to be elastic and permeable, the permeable (porous) character of the capillaries dominating the elasticity of their walls. We also accept that the change of substances through these vessels, very small in volume, observes the Starling hypothesis [9]. This hypothesis (checked experimentally by Mauro [5], Meschia [6]) states that the mass debit through the capillary wall is proportional to the pressure difference between outside and inside the capillaries . The existence of a slip condition along the permeable surface which is “covered” by a porous media (a condition confirmed experimentally) is also accepted using the results of Beavers and Joseph [3]. For the sake of simplicity we accept the axial symmetry of the blood flow, the axis of the symmetry being Oz. Using the cylindrical coordinates (r , , z ) , the motion domain will be (t ) {( r, , z) / r R ( z, t ), [0,2), z (0, L)}, at every time t, where R and L are the (initial) radius and the length of the tube (vessel), respectively and is the elastic displacement of the wall (t ) {r R ( z, t ), z (0, L)} at the considered moment t. In the meridian plane =constant if u z and ur are the components of the blood velocity in z and r directions, while p is the pressure (evaluated versus a reference pressure pref); then we get the following working equations (in cylindrical coordinates) 1 u (ru r ) z 0 (continuity equation), r r z and ur u u 2u p 1 ur 2ur ur r u z r ) ( )( 2r 2 ) t r z r r r r z ur ur u z L M [ 2 ( )], r r r r z z r ( u z u u 2u p 1 u z 2u z ur z u z z ) ( )( 2z 2 ) t r z z r r r z u z ur u z L M [ 2 ( )]. z z z r r z r ( INCAS BULLETIN, Volume 8, Issue 1/ 2016 5 Non-Newtonian Mathematical Model and Numerical Simulations for the Blood Flow in Capillary Vessels The last (flow) equations are obtained from the general Cauchy motion equations for a deformable continuum, where we use the following representation for the stress tensor: T [ p ( K 2 K )]I 2(s RBC )D, p where D is the rate of strain tensor while I is the unity tensor, p the physical pressure and RBC is given by the Cross model RBC Here 4I 2 1/ 2 *0 1 (k )1n , I 2 being the second invariant of the rate of strain tensor D, s is the plasma viscosity, p and *0 the viscosity coefficient of the blood, the “relaxation time”, k is a time constant for the shear thining behavior, n the shear thining index, the mobility parameter, while the function K( ) *0 1 ( p ), for 0 1 (k )1n is the so-called “normal function” of the variable which measures the variation of deformation. For the sake of simplicity we denote ( ) K( ) s p s RBC L 2 K 2K 2 and p M k*0 (1 n)(k ) n . [1 (k )1n ]2 In fact we got above only two scalar flow equations (in ur and u z ), u being zero. To these equations we must add the boundary conditions which express both the presence of a pressure gradient along the Oz axis and the elastic character of the permeable, porous wall u z 0 and ur 0 for r 0 , r u z u z and ur K ( p ) for r R ( z, t ) . r K The first relation expresses the Beavers-Joseph slip condition with the slip parameter while K is the specific permeability of the porous media, meantime ur K ( p ) is the consequence of the Starling law, is built by the interstitial and osmotic pressure supposed to be fixed. Concerning the pressure we have INCAS BULLETIN, Volume 8, Issue 1/ 2016 Balazs ALBERT, Vitalie VACARAS, Titus PETRILA p cos(t ) pm for z 0 , where a 0 , a p cos(t ) pm for z L , where a 0 , a 1 6 R where pm f (r )dr f () , f being a primitivable and derivable function according to r, 0 R with a maximum at r 0 and a minimum at r R ; obviously p z 0 p z L at any time of the motion (0, T). Remarks: These boundary conditions on the “edges” z 0 and z L of the capillary cos(t ) are in accord with the acceptance of a representation for the pressure of p f (r ) a 1 type, namely of a pressure gradient (in the cylindrical reference ez , er ) under the form cos(t ) gradp e f (r )er . 2 z (a 1) cos(t ) gradp r R( z ,t ) , in If f (0) 0 and f ( R ( z, t )) 0 we have gradp Oz (a 1) 2 accord with the pressure gradient in the interior of the capillary [8]. On the other hand, accepting for the capillary wall the linear elastic membrane model, the radial component of the membrane stress is expressed by the radial displacement as follows Tr m h 2 hE 1 pref , 2 2 2 t 1 R R where h is the thickness of the membrane, E the Young modulus, the Poisson coefficient, m is the density of the capillary wall while pref is the reference pressure in the”unperturbed” state. It is evident that this stress must coincide with the stress generated by the blood on the same radial direction, namely T er Tn er Tr , which represents a relation for determining f (the pressure) or ( z, t ) . At the same time the kinetic condition must be satisfied on the elastic wall, i.e., ur ( R ( z, t ), z ) but also u z ( R ( z, t ), z) 0 , what leads to K ( p ( z , r , t ) ) t t u z 0 for r R , respectively. and r It can be remarked that the last relation, together with u z ( R ( z, t ), z) 0 , implies u z 0 and ur 0 for the u z 0 in neighborhood of the elastic wall while the conditions r axis r 0 show that u u z ez depends only on z and t so that we have a pulsating flow along the axis Oz, which “calms down” on the elastic wall ( u z 0 ) where the exterior imposed pressure will have a minimum. INCAS BULLETIN, Volume 8, Issue 1/ 2016 7 Non-Newtonian Mathematical Model and Numerical Simulations for the Blood Flow in Capillary Vessels At the same time from K ( p ( z , r , t ) ) t r R ( z ,t ) we obtain 2 - sin(t) K( ) . 2 t a 1 r R ( z ,t ) 2 allows to make precise the condition on the capillary wall t 2 (linear elastic membrane), namely the expression of the “equilibrium” condition Tn er Tr in cylindrical coordinates. More precisely, if we note This last evaluation for P [ p ( K 2 K )] p the equilibrium condition becomes P 2( ) ur u u z ( r z) r z r 1 ( )2 1 ( )2 1 ( )2 z z z m h( Ksin(t) hE 1 ) pref , [8] 2 2 a 1 1 R R which provides an equation to determine the deformation of the capillary wall, namely ( z, t ) , so that the whole set of unknowns of our problem can be determined. 3. NUMERICAL SIMULATIONS The above described mathematical model has been tested in the case of the blood flow in capillary vessel, taking into consideration the elasticity and the porosity of the limiting walls. The calculations were made using COMSOL 3.3. Let us consider a small vessel “segment” of 0.01mm in radius and 0.1mm in length. The dynamic viscosity of the blood is given by the Cross rheological model ( ) s 0 1 k 1n * where s 103 Pa s , *0 1Pa s , k 100 , n 0.2 . The mass density is 1060kg / m3 . The other parameters of the proposed model are 100 , 50 . We consider an oscillatory pressure pin 10100Pa 150cos(t ) Pa on the input boundary (z = 0) and a constant pressure pout 10000Pa on the output boundary. At the points of the vessel axis of symmetry r = 0 we have imposed the axial symmetry requirements while on the vessel walls the non-slip condition together with the permeability condition ur K ( p ) . The permeability constant is K 0.5 1010 m2 s/kg and the osmotic pressure is 9900Pa. The initial conditions are ur = uz = 0 m/s and p = 10150 Pa. The velocity field at the moment t = 5s is sketched in figure 1 and the variation of the pressure along the capillary tube is presented in figure 2. INCAS BULLETIN, Volume 8, Issue 1/ 2016 Balazs ALBERT, Vitalie VACARAS, Titus PETRILA 8 Figure 1. Velocity field at t = 5s Figure 2. Pressure variation along the capillary tube at t = 5s The variation of the pressure through 5 seconds in the middle of the capillary segment (at the point r = 0, z = 0.05mm) is presented in figure 3 bellow. INCAS BULLETIN, Volume 8, Issue 1/ 2016 9 Non-Newtonian Mathematical Model and Numerical Simulations for the Blood Flow in Capillary Vessels Figure 3. Variation of the pressure in the middle of the capillary vessel Different researches show that there is significant difference in wall shear stress (WSS) between the specified conditions which simulate disease state and normal conditions. As a result it may be possible to use this parameter as for diagnostic purposes. The wall shear stress changes activate certain mechanism at the endothelium which eventually leads to vasoconstriction or vasodilatation of the capillaries. Therefore understanding how wall shear stress changes according to conditions present in the circulation is an important field of study u u [10]. In what follows, we calculate the value of the wall shear stress ( WSS ( r z ) [1] z r and [7]) on the capillary wall in points P1, P2 and P3 (as can be seen in figure 1). The results according to the variation of the WSS are presented in figure 4. Figure 4. Variation of the WSS through 1 second in points P1, P2 and P3 INCAS BULLETIN, Volume 8, Issue 1/ 2016 Balazs ALBERT, Vitalie VACARAS, Titus PETRILA 10 In figure 5 the dependence of the WSS (in absolute value) versus the shear rate in point P2 is presented. Figure 5. WSS (in absolute value) versus the shear rate at point P2 This result seems to be in accordance with the results got by Tan et al. [10]. This multidisciplinary research has been done by a group formed by physicians, mathematicians and specialists in continuum mechanics. Balazs Albert, on the one hand, and Vitalie Vacaras, on the other hand, contributed equally to the present paper. The whole research has been performed under the leadership of Professor Titus Petrila, the coordinator of the research group on blood flow modeling. REFERENCES [1] B. Albert and T. Petrila, Mathematical Models and Numerical Simulations for the Blood Flow in Large Vessels, INCAS BULLETIN, (online) ISSN 2247–4528, (print) ISSN 2066–8201, ISSN–L 2066–8201, Vol. 4, No. 4, DOI: 10.13111/2066-8201.2012.4.4.1, pp. 3-10, 2012. [2] W. A. Banks, Physiology and pathology of the blood-brain barrier: implications for microbial pathogenesis, drug delivery and neurodegenerative disorders, Journal of NeuroVirology, 5, pp. 538-555, 1999, ISSN 1355-0284. [3] G. S. Beavers and D.D. Joseph, Boundary conditions at a naturally permeable wall, J. Fluid Mech., 30, 1967, ISSN 0022-1120. [4] B. T. Hawkins and T. P. Davis, The Blood-Brain Barrier / Neurovascular Unit in Health and Disease, Pharmacological Reviews, 57, pp. 173-182, 2005, ISSN 1521-0081. [5] A. Mauro, Nature of solvent transfer in Osmosis, Science, 126, 252, DOI: 10.1126/science.126.3267.252 1957. [6] G. Meschia and I. Setnikar, Experimental study of osmosis through a collodion membrane, J. Gen. Physiol., 42, 429-444, 1958, ISSN 0022-1295. [7] T. Petrila and D. Trif, Basics of Fluid Mechanics and Introduction to Computational Fluid Dynamics, Springer Science, New York, 2005. INCAS BULLETIN, Volume 8, Issue 1/ 2016 11 Non-Newtonian Mathematical Model and Numerical Simulations for the Blood Flow in Capillary Vessels [8] S. Petrila and B. Albert, Mathematical Model for the Blood Flow in Capillary Vessels, J. of Engineering, Annals of Faculty of Engineering Hunedoara, 7, 3, pp. 352-356, 2009, ISSN 1585-2675. [9] E. M. Starling, On the absortion of fluids from the convective tissue spaces, J. Physiol., 19, pp. 312-326, 1896, ISSN: 1469-7793. [10] Z. Tan, S. Yang and S. H. Kim, Effects of Red Blood Cell Aggregation on Wall Shear Stress In μ-Tube System, Proceedings of National Undergraduate Research Opportunities Programme Congress, Faculty of engineering, Singapore, 2010. [11] * * * http://www.britannica.com/EBchecked/topic/720793/cardiovascular-disease/33668/Functional-disease. 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