Deformation of bovine eye fluid structure interaction between viscoelastic vitreous, non-linear elastic lens and sclera

Similar documents
A Model of Posterior Vitreous Detachment and Generation of Tractions on the Retina

Traction on the Retina Induced by Saccadic Eye Movements in the Presence of Posterior Vitreous Detachment

Traction on the Retina Induced by Saccadic Eye Movements in the Presence of Posterior Vitreous Detachment

A monolithic FEM solver for fluid structure

Vít Průša (joint work with K.R. Rajagopal) 30 October Mathematical Institute, Charles University

FINITE ELEMENT APPROXIMATION OF STOKES-LIKE SYSTEMS WITH IMPLICIT CONSTITUTIVE RELATION

A unifying model for fluid flow and elastic solid deformation: a novel approach for fluid-structure interaction and wave propagation

FVM for Fluid-Structure Interaction with Large Structural Displacements

Discontinuous Galerkin methods for nonlinear elasticity

On the analysis for a class of thermodynamically compatible viscoelastic fluids with stress diffusion

Game Physics. Game and Media Technology Master Program - Utrecht University. Dr. Nicolas Pronost

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies

arxiv: v3 [physics.flu-dyn] 13 Dec 2016

arxiv: v1 [cs.na] 21 Jul 2010

Comparison of Models for Finite Plasticity

Structured fluids. Josef Málek Nečas Center for Mathematical Modeling and Charles University, Faculty of Mathematics and Physics

( ) Notes. Fluid mechanics. Inviscid Euler model. Lagrangian viewpoint. " = " x,t,#, #

Vector and scalar penalty-projection methods

Nonlinear stability of steady flow of Giesekus viscoelastic fluid

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

Getting started: CFD notation

Efficient FEM-multigrid solver for granular material

1 Exercise: Linear, incompressible Stokes flow with FE

Course in. Geometric nonlinearity. Nonlinear FEM. Computational Mechanics, AAU, Esbjerg

NUMERICAL SIMULATION OF INTERACTION BETWEEN INCOMPRESSIBLE FLOW AND AN ELASTIC WALL

Elmer :Heat transfert with phase change solid-solid in transient problem Application to silicon properties. SIF file : phasechange solid-solid

A Multigrid LCR-FEM solver for viscoelastic fluids with application to problems with free surface

Implementing a Partitioned Algorithm for Fluid-Structure Interaction of Flexible Flapping Wings within Overture

An Overview of Fluid Animation. Christopher Batty March 11, 2014

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

Linear viscoelastic behavior

A Nonlinear Generalized Standard Solid Model for Viscoelastic Materials

An introduction to implicit constitutive theory to describe the response of bodies

Creep. Creep behavior of viscoelastic polymeric materials

Chapter 2: Fluid Dynamics Review

Fluid Animation. Christopher Batty November 17, 2011

NUMERICAL SIMULATION OF THE FLOW OF A POWER LAW FLUID IN AN ELBOW BEND. A Thesis KARTHIK KANAKAMEDALA

Differential relations for fluid flow

FEM techniques for nonlinear fluids

Polymer Dynamics and Rheology

Preprint Alexander Heinlein, Axel Klawonn, and Oliver Rheinbach Parallel Two-Level Overlapping Schwarz Methods in Fluid-Structure Interaction

An arbitrary lagrangian eulerian discontinuous galerkin approach to fluid-structure interaction and its application to cardiovascular problem

Splash singularity for a free-boundary incompressible viscoelastic fluid model

University Graz / Austria Institut für Chemie Volker Ribitsch

Lecture 7 Constitutive Behavior of Asphalt Concrete

Approximation of fluid-structure interaction problems with Lagrange multiplier

Natural States and Symmetry Properties of. Two-Dimensional Ciarlet-Mooney-Rivlin. Nonlinear Constitutive Models

Elements of Polymer Structure and Viscoelasticity. David M. Parks Mechanics and Materials II February 18, 2004

Non-linear and time-dependent material models in Mentat & MARC. Tutorial with Background and Exercises

Rheology of Soft Materials. Rheology

Relaxation methods and finite element schemes for the equations of visco-elastodynamics. Chiara Simeoni

Fluid-Structure Interaction Problems using SU2 and External Finite-Element Solvers

Numerical Simulation of Newtonian and Non-Newtonian Flows in Bypass

Tectonic evolution at mid-ocean ridges: geodynamics and numerical modeling. Second HPC-GA Workshop

Newton-Multigrid Least-Squares FEM for S-V-P Formulation of the Navier-Stokes Equations

Robust Monolithic - Multigrid FEM Solver for Three Fields Formulation Rising from non-newtonian Flow Problems

A Three-Dimensional Anisotropic Viscoelastic Generalized Maxwell Model for Ageing Wood Composites

MODELING OF ELASTO-PLASTIC MATERIALS IN FINITE ELEMENT METHOD

A multi-solver quasi-newton method for the partitioned simulation of fluid-structure interaction

Viscoelasticity in mantle convection

Finite Element Model of a complex Glass Forming Process as a Tool for Control Optimization

COMPUTATIONAL MODELING OF SHAPE MEMORY MATERIALS

CHAPTER 1 Fluids and their Properties

Nonlinear analysis in ADINA Structures

Advances in the mathematical theory of the finite element immersed boundary method

Termination criteria for inexact fixed point methods

Efficient BDF time discretization of the Navier Stokes equations with VMS LES modeling in a High Performance Computing framework

PALADINS: Scalable Time-Adaptive Algebraic Splitting and Preconditioners for the Navier-Stokes Equations

ENHANCED STRAIN METHODS FOR ELASTICITY PROBLEMS

Partitioned Methods for Multifield Problems

Rigorous derivation of a sixth order thin film equation

Numerical modelling of shear-thinning non-newtonian flows in compliant vessels

A monolithic Lagrangian approach for fluid structure interaction problems

Code Verification of Multiphase Flow with MFIX

Analysis and numerics of the mechanics of gels

Nonlinear elasticity and gels

Implementation of 3D Incompressible N-S Equations. Mikhail Sekachev

Study of rotation of ellipsoidal particles in combined simple shear flow and magnetic fields

Modeling, Simulating and Rendering Fluids. Thanks to Ron Fediw et al, Jos Stam, Henrik Jensen, Ryan

Finite Element Method in Geotechnical Engineering

OpenFOAM selected solver

J. Liou Tulsa Research Center Amoco Production Company Tulsa, OK 74102, USA. Received 23 August 1990 Revised manuscript received 24 October 1990

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

A modular, operator splitting scheme for fluid-structure interaction problems with thick structures

Inverse Design (and a lightweight introduction to the Finite Element Method) Stelian Coros

AMME2261: Fluid Mechanics 1 Course Notes

On the Numerical Modelling of Orthotropic Large Strain Elastoplasticity

Computational Inelasticity FHLN05. Assignment A non-linear elasto-plastic problem

Computer Fluid Dynamics E181107

The finite difference code (fully staggered grid) includes a marker-in-cell Lagrangian marker

Chapter 2. General concepts. 2.1 The Navier-Stokes equations

Mathematical Model of Blood Flow in Carotid Bifurcation

Surface changes caused by erosion and sedimentation were treated by solving: (2)

Chapter 1. Continuum mechanics review. 1.1 Definitions and nomenclature

STEADY AND UNSTEADY 2D NUMERICAL SOLUTION OF GENERALIZED NEWTONIAN FLUIDS FLOW. Radka Keslerová, Karel Kozel

Continuum Mechanics and the Finite Element Method

Design and Modeling of Fluid Power Systems ME 597/ABE Lecture 7

INTRODUCCION AL ANALISIS DE ELEMENTO FINITO (CAE / FEA)

Efficient Augmented Lagrangian-type Preconditioning for the Oseen Problem using Grad-Div Stabilization

HIGHER-ORDER LINEARLY IMPLICIT ONE-STEP METHODS FOR THREE-DIMENSIONAL INCOMPRESSIBLE NAVIER-STOKES EQUATIONS

Transcription:

Karel October Tůma 24, Simulation 2018 of a bovine eye 1/19 Deformation of bovine eye fluid structure interaction between viscoelastic vitreous, non-linear elastic lens and sclera Karel Tůma 1 joint work with J. Stein 2 and V. Průša 1 1 Faculty of Mathematics and Physics, Charles University, Czechia 2 Faculty of Mathematics and Computer Sciences, Heidelberg University, Germany

Bovine eye transparent, colorless, gelatinous fluid 98% of water, NaCl, hyaluronan maintains the shape of the eye, keeps a clear path to the retina created during embryonic period, do not regenerate viscoelastic behavior (parameters by Sharif-Kashani et al. 2011) experiment with a bovine vitreous body (Shah et al. 2016) Karel Tůma Simulation of a bovine eye 2/19

Mathematical modeling: vitreous body Rheology of the vitreous Healthy (densely packed collagen fibers): elastic AND viscous behavior viscoelastic fluid Pathological (liquefaction or complete vitrectomy): same properties like water pure viscous fluid Collagen fibers in HA Elastic & viscous behavior Karel Tůma Simulation of a bovine eye 3/19

Mathematical modeling: vitreous body Motivation of the material specific equations for the stress: 1D mechanical analog: spring = elasticity, dashpot = viscosity Healthy vitreous 1 Pathological vitreous 1 Sharif-Kashani et al.: Rheology of the vitreous gel: Effects of macromolecule organization on the viscoelastic properties, J. Biomech. 44 (3): 419 423, 2011 Karel Tůma Simulation of a bovine eye 4/19

Incompressible viscoelastic fluid like models Incompressible rate-type fluid models div v = 0, ( ) v ρ t + [ v]v = div T, T = T T, where the Cauchy stress tensor T = pi + 2µ s D + S, D = ( v + ( v) T )/2 and S satisfies an evolutionary equation S t + v S + f( v, S, S) = 0. Karel Tůma Simulation of a bovine eye 5/19

Burgers model Creep test by Sharif-Kashani et al. (2011) µ3 G2 µ2 Corresponding material parameters: ρ = 1007 kg/m 3, µ s = 2.37 Pa s, G 1 = 0.645 Pa, τ 1 = 1600.16 s, G 2 = 0.898 Pa, τ 2 = 25.06 s. G1 µ1 1D stress-strain relation ( 1 σ + + 1 ) τ 1 τ 2 σ + 1 τ 1 τ 2 σ = ( G1 + G ) 2 ε + (G 1 + G 2 ) ε τ 2 τ 1 "Generalization to 3D": Response can be described by ( 1 S + + 1 ) S + 1 ( G1 S = 2 + G ) 2 D + 2(G 1 + G 2 ) D τ 1 τ 2 τ 1 τ 2 τ 2 τ 1 S:= S + v S ( v)s S( v)t t S = S 2LṠ 2ṠLT LS S L T 2LSL T L 2 S S(L T ) 2 Karel Tůma Simulation of a bovine eye 6/19

Burgers model Thermodynamic derivation: second law thermodynamics, objectivity, physical meaning of B, symmetric equations, initial conditions Málek J., Rajagopal K.R., Tůma K.: Derivation of the Variants of the Burgers Model Using a Thermodynamic Approach and Appealing to the Concept of Evolving Natural Configurations, Fluids, Vol. 3, No. 4, pp. 1 18, 2018. ( 1 S + + 1 ) S + 1 S = 2 τ 1 τ 2 τ 1 τ 2 can be written in the form B1 + 1 τ 1 (B 1 I) = 0, B2 + 1 τ 2 (B 2 I) = 0. T = pi + 2µ s D + S, ( G1 + G 2 τ 2 τ 1 ) D + 2(G 1 + G 2 ) D T = pi + 2µ s D + G 1 (B 1 I) + G 2 (B 2 I), Karel Tůma Simulation of a bovine eye 6/19

Experiment (Shah et al. 2016) 2 cm thick plate cut out put into loading machine and glued on the sides let it relax and then 4 prolongated in 3 mm increments tracking of markers on the top surface Karel Tůma Simulation of a bovine eye 7/19

Experiment (Shah et al. 2016) Karel Tůma Simulation of a bovine eye 8/19

a need to compute 3D problem first attempt: the deformation of vitreous only, deformation too different from what they did vitreous fluid can not hold by itself need to compute a more complex problem Karel Tůma Simulation of a bovine eye 9/19

full model for vitreous, sclera and lens compressible elastic neo-hookean solid with a strain energy density W (F) = 1 2 µ(j 2/3 tr C 3) + 1 2 κ(ln J)2, J = det F, C = F T F ( ) ρ 2 u W t 2 = Div F κ = 1000µ makes the material almost incompressible sclera: µ = 330 kpa (Grytz et al. 2014) lens: µ = 10 kpa (Fisher 1971) interaction: continuous displacement and stress Karel Tůma Simulation of a bovine eye 10/19

Full 3D simulation in deforming domains problem computed on a fixed mesh the weak formulation transformed by ˆϕ from the physical domain in Ω x to computational domain Ω χ using arbitrary Langrangian-Eulerian description Ω χ ˆϕ : x = χ + û ˆF = I + χ û Ωx Ĵ = det ˆF new variable û arbitrary deformation of the domain and the mesh, for material points the relation dû/dt = v holds elastic sclera and lens in Lagrangian description, displacement u monolithic approach Karel Tůma Simulation of a bovine eye 11/19

FEM implementation weak ALE formulation implemented in AceFEM/AceGen system (J. Korelc Ljublan) non-linearities treated with the Newton method automatic differentiation provides exact tangent matrix implicit backward Euler method with a apriori given fixed time step (smaller during the deformation) hexahedral mesh: 12 896 elements (Q1-Q1-Q1-P0/Q1/Q1) 100 208 DOFs (Dirichlet BC excluded) MKL Pardiso solver used: iterative CGS solver with LU decomposition as a preconditioner CGS stopping criterion 10 4, Newton solver 10 9 20 CGS iterations during deformation 2 CGS iterations during relaxation Karel Tůma Simulation of a bovine eye 12/19

Bovine eye deformation (Burgers model) Karel Tůma Simulation of a bovine eye 13/19

Bovine eye deformation (Burgers model) Karel Tůma Simulation of a bovine eye 13/19

Dependence of u z of test particle on time Displacement uz [mm] 0.0-0.5-1.0-1.5-2.0-2.5 Burgers Navier-Stokes -3.0 0 100 200 300 400 Time[s] Karel Tůma Simulation of a bovine eye 14/19

Dependence of force on time Navier-Stokes vs. Burgers Applied deformation[mm] 12 10 8 6 4 2 Force[N] 20 15 10 5 Burgers Navier-Stokes 0 0 100 200 300 400 Time[s] 0 0 100 200 300 400 Time[s] Karel Tůma Simulation of a bovine eye 15/19

Dependence of force on time Navier-Stokes vs. Burgers 2.5 2.0 Burgers Navier-Stokes Force[mN] 1.5 1.0 0.5 0.0 0 100 200 300 400 Time[s] Karel Tůma Simulation of a bovine eye 16/19

Results Quantification of the stress in a deforming eye The healthy vitreous shows twice as high stress as the pathological one. Magnitude of the stress inside the vitreous after a deformation Colors: magnitude of the stress (blue = 0 Pa, red = 8 Pa) Karel Tůma Simulation of a bovine eye 17/19

Results Quantification of the stress in a deforming eye Higher stresses in the healthy vitreous damp the external mechanical load due to the elastic collagen network compare to the pathological vitreous. Karel Tůma Simulation of a bovine eye 18/19

Conclusion Summary of the results: Future: Realization of numerical experiments focused on simulation of flow of vitreous humour in a deforming eye quantitative characterization of vitreous flow in different scenarios Rheological properties of the vitreous influence the mechanical stress distribution in the vitreous Difference in stresses between Navier-Stokes (pathological) and Burgers (healthy) Eye pathologies such as vitreous and retinal detachment are thought to be closely linked to mechanical processes with high stresses cooperation with Heidelberg University Hospital Dept. of Ophthalmology (retinal detachment) Karel Tůma Simulation of a bovine eye 19/19

Q1-P0 elements aim: to decrease the overall cost of calculation problems on a regular mesh with Dirichlet BC: pure spurious pressure mode (checkerboard) h 0 ill-conditioned numerical experiments: on a general distorted mesh the spurious pressure modes disappear, and the inf-sup constant is independent of the mesh size (Brezzi, Fortin (1991)) Karel Tůma Simulation of a bovine eye 20/19