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Numerical modelling for
Fluid-structure interaction
EGEM07 – Fluid-structure interaction
Dr Wulf G. Dettmer
Dr Chennakesava Kadapa
Swansea University, UK.
Table of contents
(1)Introduction
(2)Aspects of numerical modelling for FSI
(3)Body-fitted Vs Unfitted/immersed methods
(4)Monolithic Vs Staggered schemes
(5)A stabilised immersed framework for FSI
Introduction to FSI

Interactions of fluid and solid

A multi-physics phenomenon

Abundant in nature
– Almost every life form

Occurs in many areas of engineering
– Aerospace: Aircraft, parachutes, rockets
– Civil: Bridges, dams, cable/roof structures
– Mechanical: Automobiles, turbines, pumps
– Naval: Ships, off-shore structures, submarines
Governing equations
Fluid: (Eulerian)
Solid: (Lagrangian)
Interface:
Kinematic condition:
Equilibrium condition:
Aspects of numerical modelling
Solid
solver
Fluid
solver
Coupling
Can we solve all the FSI problems if we
use the best available solvers for fluid
and solid sub-problems?
Aspects of numerical modelling
Solid
solver
Fluid
solver
Coupling
Can we solve all the FSI problems if we
use the best available solvers for fluid
and solid sub-problems?
No. But, why?
Aspects of numerical modelling
Solid
solver
Fluid
solver
Coupling
Can we solve all the FSI problems if we
use the best available solvers for fluid
and solid sub-problems?
No. But, why? The devil is at the interface.
Caution!
If someone tells you that his/her scheme/tool
can solve a FSI problem without actually
looking at the problem, then it is highly likely
that he/she is lying.
Important properties of numerical
schemes for FSI
(1) Existence
 Does the tool have FSI capability?
(2) Robustness
 For a reasonable time step, does the scheme work
without crashing?
(3) Accuracy
 How accurate is the solution?
(4) Efficiency
 What is the amount of time required?
Body-fitted meshes

Meshes aligned with the solid boundary

Finite Element or Finite Volume schemes for the fluid problem
How to deal with moving solids?
Body-fitted meshes

When the solid moves

Surrounding fluid mesh also
moves

Arbitrary Lagrangian-Eulerian
(ALE) formulation for the fluid

For small displacements

mesh deformation schemes

For large displacements

re-meshing techniques
Body-fitted meshes

Advantages

Efficient and accurate for simple
problems

Well established

Available in commercial software

Disadvantages

Mesh generation is cumbersome

Require sophisticated re-meshing
algorithms

Complicated and inefficient in 3D

Difficulty in capturing topological
changes
Unfitted/immersed methods
●
Solids immersed/embedded on fixed grids

Advantages

No need for body-fitted meshes

No need for re-meshing

Ideal for multi-phase flows, fracture

Complex FSI problems can be solved

Disadvantages

Needs to develop a fluid solver

Majority of the schemes are only 1st
order accurate in time

Very limited availability in commercial
software
Integration in time

Only implicit schemes are considered

Fluid:

1st
order - Backward Euler

2nd order – Crank-Nicolson/Trapezoidal,
Generalised-alpha, BDF2

Solid:

1st
order - Backward Euler

2nd
order - Crank-Nicolson/Trapezoidal,
Generalised-alpha
Coupling strategies
Monolithic Vs Staggered
✔ Spatial discretisation
✔ Temporal discretisation
Governing equations
Fluid: (Eulerian)
Solid: (Lagrangian)
Interface:
Kinematic condition:
Equilibrium condition:
Coupling

Data transfer between fluid and solid

Types of techniques

Dirichlet-Neumann (body-fitted, unfitted)

Robin-Robin (body-fitted, unfitted)

Body-force (standard Immersed methods)

We consider Dirichlet-Neumann

The most intuitive and physical

Velocity boundary condition on the Fluid

Force boundary condition on the Solid
Monolithic schemes
• Fixed-point or Newton-Raphson
• Advantages
➔ No added-mass instabilities
➔ 2nd
order accuracy in time is possible
• Disadvantages
➔ Need to develop customised solvers
➔ Computationally expensive
➔ Difficult to linearise
➔ Convergence issues
Staggered schemes
• Solve solid and fluid separately
• Advantages
➔ Computationally appealing
➔ Existing solvers can be used
●
Disadvantages
➔ Added-mass instabilities
➔ Difficult to get 2nd
order accurate
schemes for FSI with flexible
structures in the presence of
significant added-mass
➔ Efficiency and accuracy decrease
with the increase in added mas
Summary of FSI schemes
Body-fitted
Unfitted
Monolithic Staggered
 Commerical software
 No added-mass issue
 Expensive
 Efficient
 Easiest of all
 Added-mass issues
 No added-mass issue
 Complicated
 Expensive
 Efficient
 Relatively easy
 Many applications
 Added-mass issue
What is added mass issue?
Instability arising when
1) The density of the solid is close to or less than
that of the fluid

Blood flow through arteries
2) When the structure is very thin

Shell structures
3) When the structure is highly flexible

Roof membranes, parachutes
A model problem for FSI
d
d
Dettmer, W. G. and Peric, D. A new staggered scheme for
fluid-structure interaction, IJNME, 93, 1-22, 2013.
A stabilised immersed framework for FSI

Combines the state-of-the-art

Hierarchical b-splines

SUPG/PSPG stabilisation for the fluid

Ghost-penalty stabilisation for cut-cells

Solid-Solid contact

Staggered solution schemes

Wide variety of applications
B-Splines and hierarchical
refinement - spatial discretisations
for unfitted meshes
B-Splines
Hierarchical B-Splines
Hierarchical B-Splines
Hierarchical B-Splines
B-Splines
• Nice mathematical properties
• Tensor product nature
• Partition of unity
• Higher-order continuities across
element boundaries
• Always positive
• No hanging nodes
• Ease of localised refinements
• Efficient programming techniques and
data structures
Sample meshes
Formulation
Incompressible Navier-Stokes
Variational formulation
Time integration:
Backward Euler (O(dt)) and Generalised-alpha (O(dt^2))
Transverse Galloping
Rotational Galloping
Sedimentation of multiple particles
Model turbines
Ball check valve
Relief valve in 3D
References
(1) W. G. Dettmer and D. Perić. A new staggered scheme for
fluid-structure interaction, IJNME, 93, 1-22, 2013.
(2) W. G. Dettmer, C. Kadapa, D. Perić, A stabilised immersed
boundary method on hierarchical b-spline grids, CMAME, Vol. 311,
pp. 415-437, 2016.
(3) C. Kadapa, W. G. Dettmer, D. Perić, A stabilised immersed
boundary method on hierarchical b-spline grids for fluid-rigid body
interaction with solid-solid contact, CMAME, Vol. 318, pp. 242-269,
2017.
(4) Y. Bazilevs, K. Takizawa, T. E. Tezduyar, Computational
Fluid-Structure Interaction: Methods and Applications, Wiley, 2013.

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Numerical modelling for Fluid-structure interaction

  • 1. Numerical modelling for Fluid-structure interaction EGEM07 – Fluid-structure interaction Dr Wulf G. Dettmer Dr Chennakesava Kadapa Swansea University, UK.
  • 2. Table of contents (1)Introduction (2)Aspects of numerical modelling for FSI (3)Body-fitted Vs Unfitted/immersed methods (4)Monolithic Vs Staggered schemes (5)A stabilised immersed framework for FSI
  • 3. Introduction to FSI  Interactions of fluid and solid  A multi-physics phenomenon  Abundant in nature – Almost every life form  Occurs in many areas of engineering – Aerospace: Aircraft, parachutes, rockets – Civil: Bridges, dams, cable/roof structures – Mechanical: Automobiles, turbines, pumps – Naval: Ships, off-shore structures, submarines
  • 4. Governing equations Fluid: (Eulerian) Solid: (Lagrangian) Interface: Kinematic condition: Equilibrium condition:
  • 5. Aspects of numerical modelling Solid solver Fluid solver Coupling Can we solve all the FSI problems if we use the best available solvers for fluid and solid sub-problems?
  • 6. Aspects of numerical modelling Solid solver Fluid solver Coupling Can we solve all the FSI problems if we use the best available solvers for fluid and solid sub-problems? No. But, why?
  • 7. Aspects of numerical modelling Solid solver Fluid solver Coupling Can we solve all the FSI problems if we use the best available solvers for fluid and solid sub-problems? No. But, why? The devil is at the interface.
  • 8. Caution! If someone tells you that his/her scheme/tool can solve a FSI problem without actually looking at the problem, then it is highly likely that he/she is lying.
  • 9. Important properties of numerical schemes for FSI (1) Existence  Does the tool have FSI capability? (2) Robustness  For a reasonable time step, does the scheme work without crashing? (3) Accuracy  How accurate is the solution? (4) Efficiency  What is the amount of time required?
  • 10. Body-fitted meshes  Meshes aligned with the solid boundary  Finite Element or Finite Volume schemes for the fluid problem How to deal with moving solids?
  • 11. Body-fitted meshes  When the solid moves  Surrounding fluid mesh also moves  Arbitrary Lagrangian-Eulerian (ALE) formulation for the fluid  For small displacements  mesh deformation schemes  For large displacements  re-meshing techniques
  • 12. Body-fitted meshes  Advantages  Efficient and accurate for simple problems  Well established  Available in commercial software  Disadvantages  Mesh generation is cumbersome  Require sophisticated re-meshing algorithms  Complicated and inefficient in 3D  Difficulty in capturing topological changes
  • 13. Unfitted/immersed methods ● Solids immersed/embedded on fixed grids  Advantages  No need for body-fitted meshes  No need for re-meshing  Ideal for multi-phase flows, fracture  Complex FSI problems can be solved  Disadvantages  Needs to develop a fluid solver  Majority of the schemes are only 1st order accurate in time  Very limited availability in commercial software
  • 14. Integration in time  Only implicit schemes are considered  Fluid:  1st order - Backward Euler  2nd order – Crank-Nicolson/Trapezoidal, Generalised-alpha, BDF2  Solid:  1st order - Backward Euler  2nd order - Crank-Nicolson/Trapezoidal, Generalised-alpha
  • 15. Coupling strategies Monolithic Vs Staggered ✔ Spatial discretisation ✔ Temporal discretisation
  • 16. Governing equations Fluid: (Eulerian) Solid: (Lagrangian) Interface: Kinematic condition: Equilibrium condition:
  • 17. Coupling  Data transfer between fluid and solid  Types of techniques  Dirichlet-Neumann (body-fitted, unfitted)  Robin-Robin (body-fitted, unfitted)  Body-force (standard Immersed methods)  We consider Dirichlet-Neumann  The most intuitive and physical  Velocity boundary condition on the Fluid  Force boundary condition on the Solid
  • 18. Monolithic schemes • Fixed-point or Newton-Raphson • Advantages ➔ No added-mass instabilities ➔ 2nd order accuracy in time is possible • Disadvantages ➔ Need to develop customised solvers ➔ Computationally expensive ➔ Difficult to linearise ➔ Convergence issues
  • 19. Staggered schemes • Solve solid and fluid separately • Advantages ➔ Computationally appealing ➔ Existing solvers can be used ● Disadvantages ➔ Added-mass instabilities ➔ Difficult to get 2nd order accurate schemes for FSI with flexible structures in the presence of significant added-mass ➔ Efficiency and accuracy decrease with the increase in added mas
  • 20. Summary of FSI schemes Body-fitted Unfitted Monolithic Staggered  Commerical software  No added-mass issue  Expensive  Efficient  Easiest of all  Added-mass issues  No added-mass issue  Complicated  Expensive  Efficient  Relatively easy  Many applications  Added-mass issue
  • 21. What is added mass issue? Instability arising when 1) The density of the solid is close to or less than that of the fluid  Blood flow through arteries 2) When the structure is very thin  Shell structures 3) When the structure is highly flexible  Roof membranes, parachutes
  • 22. A model problem for FSI d d Dettmer, W. G. and Peric, D. A new staggered scheme for fluid-structure interaction, IJNME, 93, 1-22, 2013.
  • 23. A stabilised immersed framework for FSI  Combines the state-of-the-art  Hierarchical b-splines  SUPG/PSPG stabilisation for the fluid  Ghost-penalty stabilisation for cut-cells  Solid-Solid contact  Staggered solution schemes  Wide variety of applications
  • 24. B-Splines and hierarchical refinement - spatial discretisations for unfitted meshes
  • 29. B-Splines • Nice mathematical properties • Tensor product nature • Partition of unity • Higher-order continuities across element boundaries • Always positive • No hanging nodes • Ease of localised refinements • Efficient programming techniques and data structures
  • 31. Formulation Incompressible Navier-Stokes Variational formulation Time integration: Backward Euler (O(dt)) and Generalised-alpha (O(dt^2))
  • 38. References (1) W. G. Dettmer and D. Perić. A new staggered scheme for fluid-structure interaction, IJNME, 93, 1-22, 2013. (2) W. G. Dettmer, C. Kadapa, D. Perić, A stabilised immersed boundary method on hierarchical b-spline grids, CMAME, Vol. 311, pp. 415-437, 2016. (3) C. Kadapa, W. G. Dettmer, D. Perić, A stabilised immersed boundary method on hierarchical b-spline grids for fluid-rigid body interaction with solid-solid contact, CMAME, Vol. 318, pp. 242-269, 2017. (4) Y. Bazilevs, K. Takizawa, T. E. Tezduyar, Computational Fluid-Structure Interaction: Methods and Applications, Wiley, 2013.