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Ask 20 engineers “What is FSI?” and you will likely get 20 different answers There is not simply one approach valid for all FSI problems The analyst must be presented with a range of options and chose the most suitable
What is FSI?
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Mapping data techniques – Finding neighbors and interpolating
Protocols and formats for exchanging data – Getting data from Code A to Code B
Coupling methods – Algorithms for accuracy, stability
Dynamic fluid mesh evolution – Topology changes in the fluid domain
Validation of FSI results
The Challenges of FSI
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Searching for opposing neighbors Interpolating source stencil data on a target point – Source and targets may be face or vertex
Often requires integration (quadratures) – intensive extensive variables
• pressure force • heat flux heat
– FEA nodal loads: integration of intensive variables against the shape function.
The 3 steps of “Mapping”
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Search requires little user intervention The search excludes potential neighbors based on proximity and orientation Critically important for sheet metal parts – resolve ambiguities of poor geometry – thin solid parts may be on the wrong side of the fluid surface
Parallel Mapping is a must! – Takes advantage of distributed memory
Source Neighbor Search Imperative
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Co-Simulation Vehicle Thermal Management
Mapping Displacement in Low Y+ Prism Meshes
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C0 continuous mapping very important for low y+ meshes
Otherwise very easy for morpher to invert high aspect ratio cells in prism layer
The Challenges of FSI
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DATA EXCHANGE
File Based Transfer: Import/Map/Export – Data exchange via files on a hard-disk – CAE codes need not be resident in memory – Often called “Loose Coupling” – User responsible for exchange synch
Socket Based Transfer: Co-Simulation API – CAE code and STAR-CCM+ in memory – Data exchanged via sockets – API controls exchange synchronization
Methods for Exchanging Data
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Coupling via Abaqus Co-Simulation API of SIMULIA – Manages Coupling Synchronization/Exchange/Mapping – Abaqus v6.12/STAR-CCM+ v7.04 (implicit coupling)
STAR-CCM+ Abaqus (explicit or standard) – Initial geometry – Pressure(relative or absolute pressure) – Shear traction – Surface heat flux
Abaqus STAR-CCM+ – Displacement, velocity – Temperature
Abaqus/STAR-CCM+ Co-Simulation
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Abaqus/STAR-CCM+ Co-Simulation Interface
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Hit the Step or Run button to commence the co-simulation
Two-way coupling for aeroelastic or hydroelastic equilibrium
One way static coupling for thermal stresses – structural temperature computed by CFD CHT
One way dynamic coupling – Loads only go from fluid to structure – Loads only go from structure to fluid
Two way dynamic coupling – explicit (exchange once per time step) – or implicit (multiple exchange per time step)
Degrees of Coupling
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Dynamic Mesh Evolution
The Challenges of FSI
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Completely define a good quality fluid mesh – Using as little user intervention as possible
Options within STAR-CCM+ – Rigid body motion, sliding interfaces – Morphing – User Defined Motion
Overset Mesh
Dynamic Mesh Evolution
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Static Structure, Steady airflow at deformed shape Ma=0.8, Re=23.5x106, q/E=0.48x10-6
Aerodynamic Equilibrium at different AOA
Wing Tip Displacement Lift Coefficient
Wind-off Vibration Modes : Abaqus vs Experiment
f=25.55 Hz (26.25)
f=80.25 Hz (78.20)
f=106.20 Hz
f=160.35 Hz (165.25)
AeroElastic Prediction Workshop: Forced Vibration of 2nd Flap Bending Mode
Magnitude
Wing Tip Response of Cp
Phase
Fluid-Elastic Instabilities in a Tube Bundle
Weaver & Abd-Rabbo, “A Flow Visualization Study of a Square Array of Tubes in Water Crossflow”
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HydroDynamic Damping: Simulation vs Measured Vibration RMS vs Inlet Velocity: Simulation vs Measured Tube Bundle Vorticity
Co-Simulation DOT Tank Impact
32 Experimental Test Impact
DOT Tank Impact Simulations
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Von Mises Stress (Abaqus Explicit)
STAR-CCM+ Pressure
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DOT Tank Impact Comparisons
Mapping Data Techniques Procedures for Exchanging Data Coupling Methods Dynamic Fluid Mesh Evolution Validations
The Challenges of FSI
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