Research Article  Open Access
Masoud Baghalnezhad, Abdolrahman Dadvand, Iraj Mirzaee, "Simulation of FluidStructure and FluidMediated StructureStructure Interactions in Stokes Regime Using Immersed Boundary Method", The Scientific World Journal, vol. 2014, Article ID 782534, 13 pages, 2014. https://doi.org/10.1155/2014/782534
Simulation of FluidStructure and FluidMediated StructureStructure Interactions in Stokes Regime Using Immersed Boundary Method
Abstract
The Stokes flow induced by the motion of an elastic massless filament immersed in a twodimensional fluid is studied. Initially, the filament is deviated from its equilibrium state and the fluid is at rest. The filament will induce fluid motion while returning to its equilibrium state. Two different test cases are examined. In both cases, the motion of a fixedend massless filament induces the fluid motion inside a square domain. However, in the second test case, a deformable circular string is placed in the square domain and its interaction with the Stokes flow induced by the filament motion is studied. The interaction between the fluid and deformable body/bodies can become very complicated from the computational point of view. An immersed boundary method is used in the present study. In order to substantiate the accuracy of the numerical method employed, the simulated results associated with the Stokes flow induced by the motion of an extending star string are compared well with those obtained by the immersed interface method. The results show the ability and accuracy of the IBM method in solving the complicated fluidstructure and fluidmediated structurestructure interaction problems happening in a wide variety of engineering and biological systems.
1. Introduction
There are abundant scientific and engineering applications where a flexible structure is immersed in a viscous incompressible fluid. The motion of the structure can induce the fluid flow motion and vice versa. The combination of the fluid and structure motions constitutes the socalled fluidstructure interaction (FSI) problem (see [1, 2] for examples). The immersed boundary method (IBM) is an efficient procedure for modeling and simulating FSI problems especially when an elastic structure interacts with a fluid.
Peskin [3] was the first who introduced the IBM method to simulate the blood flow in heart valves assuming a very low Reynolds number and twodimensional flow. Peskin and McQueen [4] developed the IBM to simulate threedimensional heart flows. The key idea of this method is to represent the effect of structure on the fluid flow by a singular force added to the NavierStokes equations to mimic the noslip condition on the structure. The IBM uses a mixture of Eulerian and Lagrangian variables, which are connected by a smoothed approximation of the Dirac delta function. For the numerical implementation the Eulerian variables are defined on a fixed Cartesian mesh, while the Lagrangian variables representing the immersed boundary are defined on a curvilinear grid that lies on top of the fixed Cartesian mesh. For immersed flexible boundaries, the Lagrangian forcing can be derived by the principle of virtual work [5]. The IBM has been used to simulate a number of problems including the swimming of eels, sperm, and bacteria [6–8], ameboid deformation [9], platelet aggregation during blood clotting [9, 10], and the deformation of red blood cells in a shear flow [11].
Our interest in IBM is motivated by the ability of this method in simulating a wide range of complex physical phenomena, which share the essential difficulties of the problems considered in the present work. The focus is mainly on the case of very low Reynolds number because many interesting applications occur in this regime. In the present work, the Stokes equations are solved in the presence of immersed boundaries on an unbounded domain. A number of researchers have used the IBM method to simulate the cellular and subcellular biological processes that occur at a very low Reynolds number [6, 12–14]. Many such applications include objects that could be represented as slender bodies or particles immersed in a fluid. Among the slender bodies, one can refer to the tails of spermatozoa, eukaryotic cilia, bacterial flagella, microtubules, chromosomes, and strands of DNA and RNA. In addition, the cells, cell organelles, and individual protein molecules might roughly be represented as spherical particles. At larger scales, fibers are the basic constituents of many biological tissues, and many IBM computations involve elastic structures that are constructed of fibers [5]. Apart from biology, the IBM has been used to study the particle and filament suspensions at low Reynolds number flows [15–17]. Slender bodies in the IBM method have often been represented by a linear array of points instead of using a two or threedimensional mesh of Lagrangian immersed boundary points to define the position of the body [8, 14, 18].
In the present work, the immersed boundaryinduced Stokes flow is studied using IBM. Unlike most of the previous studies, the fluid in the present work is initially at rest. The motion of the immersed boundaries induces flow motion, which lies in the Stokes flow regime. The following three test cases are considered: (i) Stokes flow induced by motion of an extending star string (FSI); (ii) Stokes flow induced by motion of a filament fixed at one end (FSI); (iii) Stokes flow induced by motion of the same filament considered in the second test case, but now deforming a secondary elastic immersed boundary placed in the flow domain (fluidmediated structurestructure interaction). In order to benchmark the numerical simulation carried out in the present work, the results of the first test case are compared with those obtained by the immersed interface method [19]. The last two test cases are found in many biological and engineering applications, and are studied for the first time in the present work using IBM. In all of the cases studied in the present work, the flexible structure is considered massless.
2. Mathematical Formulation
2.1. Governing Equations
The flow induced by the elastic boundary motion is assumed to be in the Stokes regime and hence it is governed by the Stokes equations. The Stokes flow refers to the highly viscous fluid flow, in the limit where the Reynolds number tends to zero and both the inertial and convection terms are omitted from the NavierStokes equations [20–22]. In the immersed boundary method, the Stokes equations for twodimensional problems can be written as where denotes the Laplacian, is the velocity vector, is the pressure, and is the viscosity. It may be noted that is the force density vector applied to enforce the noslip boundary condition along the structure interface and is not the gravitational force vector. Since there is no inertia in the system, the time evolution of the flow is governed by the time dependence of the forces . Once is known at a given instant of time, then (1)–(3) are elliptic and their solution is independent of the time history of the flow.
Equations (1)–(3) can either be solved as a coupled system or be reduced to three separate Poisson problems. In the latter case, for instance, (2) and (3) can be differentiated, respectively, with respect to and and be added together to give the following relation: Since the righthand side of (4) is known, it is a Poisson equation, which is to be solved for pressure. Once is known, (2) and (3) are independent Poisson problems for and , respectively.
It is worth mentioning that the density force is nonzero only on the immersed boundary and is zero elsewhere in the fluid domain. In order to calculate , which arises from the elastic energy of the immersed boundary, we need to specify the material points of the boundary. Thus, we need a Lagrangian description of the boundary. Suppose that is an arbitrary point on the immersed boundary where the parameter (, where is the length of the immersed boundary at equilibrium) indicates the Lagrangian coordinate along the boundary and denotes time. According to the principle of virtual work, the Lagrangian force is derived using the variational derivative of the elastic energy functional ; that is, The elastic energy consists of the stretching and bending energies [23]: where and are constants denoting the stiffness and bending coefficients, respectively. After substitution of (6) into (5) and doing some mathematical operations and simplifications, the stretching and bending forces are found, respectively, as Here, is the tension and is the unit tangent to the boundary. These are defined as where the stiffness coefficient is assumed to be uniform along the immersed boundary length. The larger is, the stiffer the elastic boundary is and the greater force is induced by a stretching of the boundary.
It may be noted that all the variables and forces described through (5)–(8) are in the Lagrangian form, which should be transformed to the Eulerian form in order to be used in the Stokes equations. A detailed discussion about this process will be given in the following section. It is worth mentioning that throughout the paper, the Lagrangian and Eulerian variables are stated in uppercase and lowercase letters, respectively.
2.2. FluidStructure Interaction
The transformation between the Eulerian and Lagrangian variables can be realized by the Dirac delta function [5]. Spreading of the Lagrangian forcing to the nearby Eulerian grid points is expressed as where denotes the Dirac delta function. In the present work, we use the delta function proposed in [24]: In addition, the local fluid velocity at the immersed boundary position is obtained by interpolating the fluid velocity as follows: where denotes the fluid domain to be influenced by the motion of the immersed boundary. The immersed boundary position is then updated by using the following equation:
3. Numerical Method
3.1. Discretization of the Interface Lagrangian Force
A staggered grid (marked nodal points) is used in the Lagrangian coordinate system (see Figure 1), where the tension forces are defined on the midpoints between the nodes and the bending forces are defined on the nodes. In the cases including filament, the numbering of nodes starts from the free end of the filament () and ends at its fixed end ().
Suppose that , , and denote, respectively, the finite difference (FD) approximation to the first, second, and third order derivatives with respect to the arclength . For an arbitrary variable , for instance, the following notations: Denote, respectively, the central, forward, and backward FD approximations of the first derivative. In addition, the secondorder central FD approximation of the second derivative can be expressed as The boundary tension and the tangent vector (see (8)) can be discretized as Finally, the discrete stretching force density and the discrete bending force density are given by where, A clamped boundary condition is applied at the fixed end of the filament [25]: At the free end of the filament (), the bending force term is discretized as
3.2. Discretization of the Poisson Equation
It was mentioned in Section 2 that the Poisson equation governs both the velocity and pressure fields for the Stokes flow. In order to generalize the discretization scheme, the velocity and pressure variables are replaced by the general variable and the immersed boundary force is replaced by the variable . Therefore, the general form of the Poisson equation can be written as follows: The fluid domain considered in the present work is a square box with periodic boundary conditions. The derivatives in (20) can be approximated by secondorder central FD scheme as follows: The periodic boundary conditions would imply that Equation (21) along with the periodic boundary conditions (22) constitutes a system of linear equations. To solve this system of equations we use a fast direct solution method, which takes the advantage of the cyclic reduction algorithm. The cyclic reduction algorithm is a recursive scheme that eliminates half of the unknowns at each step until there remains a single equation that can be solved. The remaining unknowns are computed easily by a backsubstitution method (for more information about this algorithm one may refer to [26–28]).
3.3. Discretization of FSI Equations
We now consider the equations connecting the fluid lattice and the immersed boundary points. Since the positions of the immersed boundary points generally do not coincide with those of the lattice points, we have to interpolate the velocity field from the fluid lattice to these points and spread the Lagrangian force from the immersed boundary points to the nearby lattice points of the fluid. This can be done by introducing a sufficiently smooth approximation to the Dirac delta function: The following discrete delta function is used to give the secondorder approximations: It is worth noting that the above function covers wider support points as compared with that used by Peskin and McQueen [4]. This can effectively reduce the nonphysical oscillations (if any). More reasons for this particular choice of function are given in [24].
The discretized form of the local fluid velocity at the structure position can be written as where is the Eulerian grid spacing. Similarly, the discretized form of the force density is given by Finally, the kinematic boundary condition (12), which is used to update the immersed boundary points in the fluid domain, is discretized using explicit forward Euler scheme:
3.4. Solution Algorithm
The numerical algorithm used in the present work for simulating the fluidstructure interactions as well as the fluidmediated structurestructure interactions can be summarized as follows.(1)Compute Lagrangian forces at Lagrangian points using (5).(2)Communicate Lagrangian forces to Eulerian grid points using (9).(3)Solve fluid equations from (1) to (3) to get new velocity .(4)Find the local fluid velocity at the immersed boundary position using (11).(5)Update immersed boundary position using and (12).
4. Results and Discussion
4.1. Flow Induced by a Relaxing Star String
In this test case, we study the motion of a nonequilibrium star string immersed in an incompressible fluid while relaxing to its circular equilibrium shape. The initial velocity and pressure of the fluid are set to zero, and the only driving force is the string tension. The fluid flow and the string motion are fully coupled. At equilibrium, the velocity is zero and the pressure is piecewise constant inside and outside the balloon. The initial shape of the distorted string is expressed in the cylindrical coordinates as The unstretched interface is the circle with the radius . The problem is very stiff and we need to take a fairly small time step even with the implicit method. We started with but could increase the time step at later times. Starting the work we compute velocity, pressure, Lagrangian, and Eulerian forces at the first time step. A grid size of 64 × 64 in a square domain with the dimensions of is considered. The results have been shown in Figures 2 and 3. Figure 3(b) shows the jumps in the pressure and the consequent discontinuity at the immersed boundary.
(a)
(b)
(a)
(b)
Figure 4 shows the location of the interface at several times that agree quite well with the results of LeVeque and Li [19] using IIM method. The discrepancies in the times may be attributed partly to the fact that different stiffness coefficients have been used in the two methods.
(a)
(b)
It can be seen from Figure 4 that the immersed boundary moves in the fluid for some period of time and then attains its equilibrium state. At the equilibrium state, the pressure in the fluid is balanced with the stretching force of the boundary. At this state, the pressure inside the boundary is homogeneous and therefore it takes the circular shape.
According to Figure 5, the star starts moving from its nonequilibrium state with the maximum and minimum radii of 0.9 and 0.3, respectively, and its radii converge to the radius 0.63 of a circle, which corresponds to the equilibrium state of the boundary. This figure shows how and behave computationally over a shorttime scale.
The instantaneous maximum and minimum radii of the boundary are obtained from the following relations:
4.2. Bending Filament
In this section, the Stokes flow induced by the motion of a bending filament is examined. An initial bending force is applied to the filament. Initially the fluid is at rest. After the first time step, the Lagrangian points representing the filament boundary move from their initial positions in the flow direction. This leads the points to become too close to (or too far away from) each other. To keep the inextensibility of the filament, a (relatively) large stiffness coefficient is applied. Under such conditions, only the angle between the nodes varies, but the distance between them remains unchanged. In addition, to circumvent the instability arising when proper tension and bending forces are not applied, very small time steps are considered. As shown in Figure 6, the initial shape of the filament is considered as the arc of a circle obtained from the following relation: The filament is clamped to the bottom wall of a square cavity. As mentioned above, initially the force applied by the elastic boundary on the fluid domain is due only to the bending forces. The tension forces are then added to the bending forces at the next time steps. The Lagrangian forces associated with the bending filament as well as the Eulerian forces applied on the fluid domain at the time are depicted in Figure 7.
(a)
(b)
By inserting the Eulerian forces to the flow field equations and solving them, the velocity and pressure fields can be obtained at different time steps. The values of various constants considered for the case of the bending filament are given in Table 1.

Figure 8 depicts the component velocity along with the streamlines at different time steps. It can be seen that the motion of the filament from its initial nonequilibrium state (Frame (a) in Figure 8) induces the fluid motion in the direction shown by the streamlines. Frame (d) in Figure 8 shows that at the time step of 0.032 the filament has slightly passed its equilibrium state to the left. Therefore, it is again in nonequilibrium state and has to return to the equilibrium state. During this process, it pushes the fluid in the opposite direction of the frames (a), (b), and (c). In addition, an eddy appears to be formed in the fluid domain above the filament.
(a)
(b)
(c)
(d)
The pressure contours associated with the different times shown in Figure 8 are plotted in Figure 9. According to this figure, the motion of the filament from its nonequilibrium state leads to a pressure variation around it. Due to the motion of the bending filament from right to left, vacuum is observed in the fluid located on the right side of the filament and hence minimum pressure is observed in this region. In contrast, it pressurizes the fluid on its left side and a maximum pressure is seen. This implies clearly the pressure jump and/or discontinuity on the immersed boundary.
(a)
(b)
(c)
(d)
4.3. FluidMediated StructureStructure Interaction
In this last test case, the motion of an initially bent filament in a square cavity causes the fluid motion, which in turn leads to the motion and deformation of an initially circular elastic boundary placed somewhere in the cavity. It may be noted that, for an immersed boundary to move in a fluid, either the fluid should have enough velocity to move the boundary or the initial deformation of the boundary itself would cause the fluid motion. In the present example, both of these mechanisms are present simultaneously.
The secondary immersed boundary considered here is an elastic circular string, which is initially in its equilibrium state without any deformation or internal forces. For this boundary, the tension forces are applied to avoid the Lagrangian points representing the boundary to move too far from (or too close to) each other. In addition, no bending force has been applied to this boundary in order to allow the angle between the points to change freely. As shown in Figure 10, in order to define both of the immersed boundaries (i.e., the filament and the circle), two distinct local Lagrangian coordinate systems are required to be defined in the Eulerian solution domain. The initial configurations of the filament and the circle can be obtained from relations (30) and (31), respectively: The fluid domain (i.e., the square cavity) along with the initial configurations of the two immersed boundaries (i.e., a filament and a circular flexible boundary) is depicted in Figure 11. The values of constants used in this test case are given in Table 2. It is worth mentioning that the indices 1 and 2 are associated with the filament and circular boundary, respectively.

For the circularimmersed boundary, the stiffness coefficient is set to be relatively small to allow the points to move easily far away from each other. At the outset of the calculations, this boundary exerts no force on the initially quiescent fluid domain. In fact, the fluid motion is induced by the motion of the filament, which is initially bent. The moving fluid can now exert forces on the circular boundary and move and deform it. The Lagrangian forces associated with the immersed boundaries and the consequent Eulerian forces imposed on the fluid domain by theses boundaries at time have been depicted in Figure 12.
(a)
(b)
Figure 13 demonstrates the contours of component velocity along with the streamlines on the one hand and the contours of pressure on the other hand at times , 0.0075, and 0.0165. The sequential deformations of the immersed boundaries are also included in this figure. The circular boundary is found to experience significant deformation as it moves upward (i.e., towards the top boundary of the square domain). A single eddy forms inside the circle at time 0.0165. As expected, one can see from this figure that the pressure is discontinuous across both of the immersed boundaries.
(a)
(b)
5. Conclusions
In the present work, the Stokes flow induced by the motion of an elastic massless body immersed in a twodimensional fluid is studied using immersed boundary method. Initially, the immersed body is unstable and the fluid is at rest. The body can induce fluid motion while returning to its equilibrium (stable) state leading to a fluidstructure interaction problem. In the current study, two different test cases are examined. In both of the cases, the motion of a massless filament fixed at one end induces the fluid motion inside a square domain. However, in the second test case, a deformable circular string is placed in the square domain and its interaction with the Stokes flow induced by the filament motion is studied. In order to verify the accuracy of the numerical method employed, the simulated results associated with the Stokes flow induced by the motion of an extending star string are compared well with those obtained by the immersed interface method. The results show the ability and accuracy of the IBM method in solving the complicated FSI problems happening in a wide variety of engineering and biological systems.
Conflict of Interests
The authors declare that they do not have conflict of interests regarding the publication of this paper.
References
 D.Y. Shin, P. Grassia, and B. Derby, “Oscillatory limited compressible fluid flow induced by the radial motion of a thickwalled piezoelectric tube,” Journal of the Acoustical Society of America, vol. 114, no. 3, pp. 1314–1321, 2003. View at: Publisher Site  Google Scholar
 D. PihlerPuzović, P. Illien, M. Heil, and A. Juel, “Suppression of complex fingerlike patterns at the interface between air and a viscous fluid by elastic membranes,” Physical Review Letters, vol. 108, no. 7, Article ID 074502, 2012. View at: Publisher Site  Google Scholar
 C. S. Peskin, “Numerical analysis of blood flow in the heart,” Journal of Computational Physics, vol. 25, no. 3, pp. 220–252, 1977. View at: Google Scholar
 C. S. Peskin and D. M. McQueen, “A threedimensional computational method for blood flow in the heart I. Immersed elastic fibers in a viscous incompressible fluid,” Journal of Computational Physics, vol. 81, no. 2, pp. 372–405, 1989. View at: Google Scholar
 C. S. Peskin, “The immersed boundary method,” Acta Numerica, vol. 11, pp. 479–517, 2002. View at: Google Scholar
 R. Dillon, L. Fauci, and D. Gaver III, “A microscale model of bacterial swimming, chemotaxia and substrate transport,” Journal of Theoretical Biology, vol. 177, no. 4, pp. 325–340, 1995. View at: Publisher Site  Google Scholar
 L. J. Fauci and A. McDonald, “Sperm motility in the presence of boundaries,” Bulletin of Mathematical Biology, vol. 57, no. 5, pp. 679–699, 1995. View at: Google Scholar
 L. J. Fauci and C. S. Peskin, “A computational model of aquatic animal locomotion,” Journal of Computational Physics, vol. 77, no. 1, pp. 85–108, 1988. View at: Google Scholar
 D. C. Bottino, “Modeling viscoelastic networks and cell deformation in the context of the immersed boundary method,” Journal of Computational Physics, vol. 147, no. 1, pp. 86–113, 1998. View at: Publisher Site  Google Scholar
 A. L. Fogelson, “Continuum models of platelet aggregation: formulation and mechanical properties,” SIAM Journal on Applied Mathematics, vol. 52, no. 4, pp. 1089–1110, 1992. View at: Google Scholar
 C. D. Eggleton and A. S. Popel, “Large deformation of red blood cell ghosts in a simple shear flow,” Physics of Fluids, vol. 10, no. 8, pp. 1834–1845, 1998. View at: Google Scholar
 D. C. Bottino and L. J. Fauci, “A computational model of ameboid deformation and locomotion,” European Biophysics Journal, vol. 27, no. 5, pp. 532–539, 1998. View at: Publisher Site  Google Scholar
 R. H. Dillon and L. J. Fauci, “An integrative model of internal axoneme mechanics and external fluid dynamics in ciliary beating,” Journal of Theoretical Biology, vol. 207, no. 3, pp. 415–430, 2000. View at: Publisher Site  Google Scholar
 S. Lim and C. S. Peskin, “Simulations of the whirling instability by the immersed boundary method,” SIAM Journal on Scientific Computing, vol. 25, no. 6, pp. 2066–2083, 2004. View at: Publisher Site  Google Scholar
 A. L. Fogelson and C. S. Peskin, “A fast numerical method for solving the threedimensional stokes' equations in the presence of suspended particles,” Journal of Computational Physics, vol. 79, no. 1, pp. 50–69, 1988. View at: Google Scholar
 J. M. Stockie and B. T. R. Wetton, “Stability analysis for the immersed fiber problem,” SIAM Journal on Applied Mathematics, vol. 55, no. 6, pp. 1577–1591, 1995. View at: Google Scholar
 J. M. Stockie and S. I. Green, “Simulating the motion of flexible pulp fibres using the immersed boundary method,” Journal of Computational Physics, vol. 147, no. 1, pp. 147–165, 1998. View at: Publisher Site  Google Scholar
 L. Zhu and C. S. Peskin, “Simulation of a flapping flexible filament in a flowing soap film by the immersed boundary method,” Journal of Computational Physics, vol. 179, no. 2, pp. 452–468, 2002. View at: Publisher Site  Google Scholar
 R. J. LeVeque and Z. Li, “Immersed interface methods for Stokes flow with elastic boundaries or surface tension,” SIAM Journal on Scientific Computing, vol. 18, no. 3, pp. 709–735, 1997. View at: Google Scholar
 G. K. Batchelor, An Introduction to Fluid Dynamics, Cambridge University Press, London, UK, 1967.
 R. Clift, J. R. Grace, and M. E. Weber, Bubbles, Drops and Particles, Academic Press, New York, NY, USA, 1978.
 W. E. Langlois, Slow Viscous Flow, Macmillan, New York, NY, USA, 1964.
 Y. Kim and C. S. Peskin, “Penalty immersed boundary method for an elastic boundary with mass,” Physics of Fluids, vol. 19, no. 5, Article ID 053103, 2007. View at: Publisher Site  Google Scholar
 X. Yang, X. Zhang, Z. Li, and G.W. He, “A smoothing technique for discrete delta functions with application to immersed boundary method in moving boundary simulations,” Journal of Computational Physics, vol. 228, no. 20, pp. 7821–7836, 2009. View at: Publisher Site  Google Scholar
 W.X. Huang, S. J. Shin, and H. J. Sung, “Simulation of flexible filaments in a uniform flow by the immersed boundary method,” Journal of Computational Physics, vol. 226, no. 2, pp. 2206–2228, 2007. View at: Publisher Site  Google Scholar
 P. N. Swarztrauber and R. A. Sweet, “The Fourier and cyclic reduction methods for solving Poisson’s equation,” in Handbook of Fluid Dynamics and Fluid Machinery, J. A. Schetz and A. E. Fuhs, Eds., John Wiley & Sons, New York, NY, USA, 1996. View at: Google Scholar
 P. N. Swarztrauber, “Approximate cyclic reduction for solving Poisson’s equation,” SIAM Journal on Scientific Computing, vol. 8, pp. 199–209, 1987. View at: Google Scholar
 W. Gander and G. H. Golub, “Cyclic reductionhistory and applications,” Tech. Rep. SCCM9702, Stanford University, 1997. View at: Google Scholar
Copyright
Copyright © 2014 Masoud Baghalnezhad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.