fluid-structure interaction by the mixed sph-fe method...
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Copyright © ESI Group, 2011 All rights reserved.Copyright © ESI Group, 2011. All rights reserved.
Paul GroenenboomESI Group
Delft, Netherlands
Fluid -structure Interaction by the mixed SPH -FE Method with Application to Aircraft Ditching
Conference on SPH and Particle Methods for Fluids and Fluid Structure Interaction
Lille, France, 21.-22.01.2015
Martin SiemannGerman Aerospace Center (DLR)
Stuttgart, Germany
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Outline
• Introduction• Computational approach
• SPH• Coupling with structures
• Innovations• Pressure correction• Particle regularization• Damping• Initial particle distributions• Periodic boundaries
• Guided Ditching Tests• Conclusions & Perspectives
Fluid-structure Interaction by the mixed SPH-FE Method with Application to Aircraft Ditching
Copyright © ESI Group, 2011 All rights reserved.
Computational Approach: SPH
The SPH solver within VPS (ESI-Group) is based on the ‘standard’ weakly-compressible SPH algorithm
There are many innovative extensions to improve accuracy and performance, in particular for fluid-structure interaction simulation
The SPH solver is fully integrated within the explicit Finite Element Method (FEM) of VPS
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Coupling with structures
SPH is suitable to model violent flow of water.FEM is best suited to model the (aircraft) structureA hybrid SPH-FE approach allows to use ‘best of both worlds’ to model fluid-structure interaction.
VPS/PAM-CRASH software from ESI-GroupThe penaly-based contact algorithm between FE and SPH allows to model fluid-structure interaction.This approach combines accurary with good CPU performance.For regions with limited fluid displacements it is possible to use finite elements for water.
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Coupling of FE and SPH
VPS/PAM-CRASH Contact treatment: Adding dynamic connectivity between a node and a contact segment
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Coupling of FE and SPH
Ditching simulation of an Airbus 321 model (Courtesy of DLR) involves sliding interface contact between particles and the aircraft model, and tied contact of particles with the brick elements for the water.
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Coupling of FE and SPH
It is possible to include tension by definition of a ‘seperation stress’ once contact has been established – this can model suction effects.For aircraft ditching suction effects are important for the aircracft kinematics.
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Innovations: Pressure CorrectionNecessity and Requirements
Standard WC-SPH method � poor pressure distributions (high-frequency oscillations in time and space)
Established pressure correction methods like density re-initialization by Shepard filtering and Rusanov flux were recently implemented in the SPH solver of VPS/PAM-CRASH
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SPH Pressure Correction MethodsDensity Re-Initialization using Shepard
Filtering
Density re-initialization method which was derived from an interpolation technique initially published by Shepard in 1968
SPH notation for the modified density
Since for WC-SPH the pressure is derived from an equation-of-state, the Shepard filter directly influences the pressure distribution. The density field is periodically re-initialized at user-defined cycle frequency f with recommended values of 20 cycles
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SPH Pressure CorrectionRusanov Flux
The Rusanov correction is efficient and robust, but also somewhat diffusive, numerical approximation to solve Riemann problems
1st order accuracy compared to 2nd order accuracy of Riemann flux
Modified continuity equation
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Pressure field at t = 30ms in 2D NACA flat plate test case
SPH Pressure Correction MethodsExemplary effects on pressure field
Shepard filteringf = 20 Hz
Rusanov fluxε = 0.5
Standard WC-SPH(no correction)
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Pressure correction: Test CaseTwo-Dimensional Rigid Wedge Vertical Impact
Experimental results from Battley et al.Vertical impact (3 m/s , const.)Pressure results available for three positions along center line (keel-chine)
Numerical modelSymmetryRusanov flux with ε = 0.5Smoothing length h = 2 mm (810 000 particles)
Good correlation of peak pressure values
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Innovations: Particle Regularization
During flow or deformation the particle distribution may display some irregularities with as consequence:
Pressure oscillations
Clumping of particles
Numerical (tension) instability
Counteract by particle regularization methods which aim to yield a more regular distribution
Effect should be local
Conservation of mass, momentum, and energy
Numerical stability
No significant increase of computational costs
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Particle Regularization
Test case for floating boxes with the VJA algorithmParticle distribution with contours of the vertical displacement at the final state for VJA2 (partial view)
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Innovations: Damping zone
Absorbing boundary conditions for pressure are available.Absorbing boundary conditions for surface waves have to be different as they involve gross motion of the material.The proposed algorithm is nodal damping in specific regionsTested for wave propagation and impact
Damping volume
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Damping zone
Wedge impact with damping zone near the impact region
Contour of the horizontal displacements at the final state for the damping case.
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Uniform initial distribution (2D)
volume ratio 1:9
Non-Uniform Initial Particle Distributions
Define suitable initial particle distributions for SPH fluid impact and flow simulations.Two topics of special interest:
1. Particles of non-uniform size2. Filling of arbitrary volumes
Proposed Solution ���� Weighted Voronoi Tessellation (WVT)
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Filling simulation (2D)Distribution of smoothing length (2D)
Proposed Solution ���� Weighted Voronoi Tessellation (WVT)
� Fast and easy to use
Non-Uniform Initial Particle Distributions
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Gravity load test case (2D) – instable; Color denotes velocity magnitude
Proposed Solution ���� Weighted Voronoi Tessellation (WVT)
g
Distribution of smoothing length (2D)
0.05 m/s ca. 1800 ms
� Fast and easy to use
Non-Uniform Initial Particle Distributions
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Gravity load test case (2D) – stable; Color denotes velocity magnitude
ca. 10 000 ms0.02 m/s
Proposed Solution ���� Weighted Voronoi Tessellation (WVT)
g
Distribution of smoothing length (2D)
� Stable under gravity load� Fast and easy to use
Non-Uniform Initial Particle Distributions
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Proposed Solution ���� Weighted Voronoi Tessellation (WVT)
Distribution of smoothing length (3D)
Non-Uniform Initial Particle Distributions
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Cutting plane
y xz
Initial results for guided ditching simulation (3D)
Proposed Solution ���� Weighted Voronoi Tessellation (WVT)
Distribution of smoothing length (3D)
� Significant CPU time savings (>10x through WVT)
Non-Uniform Initial Particle Distributions
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Innovations: Periodic boundaries
• Allows to re-enter particles that have reached a boundary on the opposite side.• Provides a significant reduction of the number of particles required for a moving
object in contact with fluid.• Extended to incorporate translating domains• Extended to allow for inflow with undisturbed flow conditions
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Ditching
aircraft emergency situation that ends with planned impact of the aircraft on waterInvolves complex phenomena (water impact, suction, spray, cavitation, aerodynamics, structural deformation)Difficult to test (motion control, scale effects, aerodynamics)Challenge for simulation (FSI, free surface…)
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Guided Ditching Tests
Test setup (at INSEAN in Rome) :Simple geometries in aerospace design:panels with skin panel dimensions and thickness Represent high inertia of aircraft : guided motion Full-scale ditching conditions (representative impact velocities): sling shot system
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High-Speed Camera @ 5400 fps
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60 m/s
Challenges for SPH Model
100 m
10 m
5 m
Objectives
- Reduce amount of particles (run time)
- Allow for finer particles in proximity of impacting structure
Large fluid domain due to relative high forward velocity
Fine particle distribution needed to allow for accurate results
Drivers for run time
Guided Ditching Tests
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GDT selected Results
Selected Results – Force Z10o 30 – 40 – 46 m/s ALU 15 mm
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x
z
Volume cut of trolley & SPH domain
GDT selected Results
Selected Results – Force Z6o 40 m/s ALU 0.8 mm
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S4
xy
S4x
S4y
Selected Results – Strain6o 40 m/s ALU 3 mm
ESIZE ~10 mm
GDT selected Results
STRAIN YY3x amplified
S4
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S1 xy
S1x
S1y
Selected Results – Strain6o 40 m/s ALU 3 mm
GDT selected Results
STRAIN YY3x amplified
STRAIN XX3x amplified
S1
S1
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Suction ForceCN235 sub-scale model
Good correlation of pressure results between test and simulation (overpressure and suction regions)
Time [s]
Pre
ssur
e [P
a]P
ress
ure
[Pa]
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Suction ForceCN235 sub-scale model
Comparison suction contact model ON (top) and OFF (bottom)
Good corellation between test and simulation with suction model ONHigh influence on aircraft pitch kinematic
Suction model ON
Suction model OFF
Test (No. 25)Suction model ON
Suction model OFF
Time [s]
Pitc
h A
ttitu
de [d
eg]
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Conclusions
SPH-FE approach suitable to simulate deformable aircraft ditchingSignificant reduction in CPU cost through enhanced modeling featuresKinematic and structural behavior in good agreement (velocity, force, strain)Hydrodynamic behavior (pressure results) still very noisy
The relevance to include suction has been demonstrated.A simulation study has been presented to demonstrate the capabilities of the approach.
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Perspectives
• Further CPU reduction by optimised particle distribution and combination of SPH with elements for water
• Transfer knowhow to flexible full aircraft ditching simulation
Bottom view on rear fuselage zone
Copyright © ESI Group, 2011 All rights reserved.Copyright © ESI Group, 2011. All rights reserved.
Paul [email protected]
Fluid-structure Interaction by the mixed SPH-FE Method with Application to Aircraft Ditching
ACKNOWLEDGEMENT
Most of the work presented in this paper has received funding from the European Commission’s 7th Framework Programme under grant agreements no FP7-266172 (project SMAES –Smart Aircraft in Emergency Situations).
Thanks for your attention