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DYNAVOIE : a reduced track model allowing long 3D simulation of train/track interaction.
Etienne Balmès, SDTools, Arts et Métiers ParisTech Patricia Ferreira, IST, Tecnico U. Lisboa Sofia Costa D'Aguiar, Emmanuel Laurans, SNCF RTSE Ballast : Issues & Challenges, Paris Dec 5-6, 2013
Why DynaVoie ?
2
Objective 1 : non-linear time domain train/track interaction model
– Time integration necessary
– Wheel/rail contact model, non-linear pads, non-linear ballast difficult
– Boundary elements and infinite space approaches do not live with NL transients
– Full 3D is too large for design work
Why DynaVoie ?
3
• Determination of properties – Initially : ballast as spring/dashpot but
identification of properties is difficult
– Retained : 3D model with elastic properties
• Size challenge – 1 slice 60 cm, quadratic = 25e3 DOF
– 200 m : 8 million DOF
– Storing : 20e3 steps ≈ 1 TB
• Proposed strategy – Cut track in sections
– Reduce slices based on periodic assumptions
– Compute transients using reduced slice model
– Output sampling and post-expansion
velocidadevelocidadevelocidadespeed
SDTools & Structural Dynamics Toolbox
NASTRAN
ABAQUS
ANSYS
UFF / IDEAS
SAMCEF
PERMAS
Simulink
IDEAS Test
Adams Tests MATLAB
OpenFEM FEMlink
SDT, Visco, Rotor, …
Simulation
Runtime SDT
FEM
Meshing
CAD
Key competences • Model reduction & periodic/cyclic problems • Transients with contact & friction • Damping (viscoelastic & friction) • Experimental modal analysis, system
modeling
Base meshing capabilities
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• Rail : beam/volume
• Pad : beam/volume
• Sleeper volume + beam
• Track : multilayer conform mesh – half, full, half double track, …
– Coarse to meshed
– Utilities to obtain quality meshes
Periodic solutions
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• Periodic solutions – Periodic geometry {u(nDx)} allows Fourier
transform
– Complex periodic solution on base cell
– with continuity constraints
Classical approach in cyclic symmetry Used for tracks by Chebli/Clouteau/Modaressi 2004
• Target solutions for DynaVoie – Static response to load on rail : wavelength
inf, 8 , 4, 8/3, 2 cells
– Dynamic vectors for propagating waves 5 and 50 cells
Reduction using periodic solutions
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• Reduction steps – Build a collection of periodic solutions
– Build orthogonal subspace basis T by solving
– Decompose mesh in main and interface superelements
– Use Rayleigh-Ritz reduction : T for main superelements T left/right for interface superelements
Validation/verification of static
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Track box section (ballasted track)
Maximum Rail vertical displacements
-1.4
-1.2
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0 25 50 75 100 125 150 175 200
dz r
ail (
mm
)
Q/axle (kN)
Rail displacements
Measures Track Box Static 1
Measures Track Box Satic 2
ANSYS
Dynavoie
Verification of reduction
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Verification : are equations solved correctly
• Statics : Fourier recomposition
• Dynamics : dispersion curves
Compression
Compression Shear
Shear
Sensors
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• Translation
• Resultants
• Stresses/strains
• Selected places (test analysis correlation) or all sections (settling sensors, …)
• Dynamic observation limits memory
{y} = [cT] {qR}
• Work on interactivity important focus for usability
Handling non-linearities
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• Simple penalized rail/wheel contact
• Vehicle as superelement with possible non-linearities
• Non-linear pads
Secondary supension
Primary suspension
Axle
Train direction
Kb11 Cb11
Kc Cc
Vehicle (Mc)
Kb21 Cb21
Bogie (Mb)
Me1 Me2
x
z
q
y
𝜎𝑔 = Λ ε𝑔 +
0 0 00 0 00 0 𝜎𝑁𝐿𝑔(ε𝑧𝑧 )
0
0 0
Isolated stiffer pad
Localized non-linear pad
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• Chauconin, TGV Bogie, 1 stiffer pad
• Impact of localized NL quite clear in zlin-zNL
Vertical displacement, filtered
zlin-zNL in SubLayer
Sample performance
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• Chauconin section mesh – Linear : 2300 nds, 1700 elt, 5000 DOF
– Quad : 8500 nds, 1700 elt, 20 000 DOF
• Reduction – < 100 Hz : main ≈ 100 shapes, interface ≈ 200
– Linear in 21 s (5000 free DOF)
– Quad : 78s (20 000 free DOF)
• Transient – 200 slices = 120m
20335 reduced DOFs, full ≈4e6 DOF
– Implicit : 55e3 steps, dt=2.4e-5 s ≈ 30 mn
– At fs=500 Hz, def= 100 MB
0 1000 2000 3000 4000
0
1000
2000
3000
4000
[10333 x 10333, nnz = 2184574, nz = 2184574]
Model validation : IST objectives
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• Building up of current ballasted track (VB) track case
• Geometric mesh elements
• Physical and mechanical proprieties of track elements
• Validation of dynamic calculations of ballasted track
• Analysis of database of field measurements
• Statistical post processing of database
• Comparisons of calculated results with measured results
• Critical analysis of other type of track results
• Contributions to software evolution
• Assure accurate results
• Request of new features in software
• Work toward need of practical tool for daily railway engineering applications
CASE STUDY OF CHAUCONIN TRACK SITE
Case study : Chauconin track site
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• Current Ballast Track
• Transition Zone
• Slab Track
Field Measurements : under commercial train circulation
Site Characterisation
Accelerometers Displacements
16
Available measurements CASE STUDY OF CHAUCONIN TRACK SITE
•Analysis of database of field measurements
•Statistical post processing of database
17
Model properties CASE STUDY OF CHAUCONIN TRACK SITE
Building up of VB track case model in Dynavoie
18
Sample modes CASE STUDY OF CHAUCONIN TRACK SITE
Current ballasted track section (VB)
19
Rail vertical displacements in time
Dynamic results : rail, pad CASE STUDY OF CHAUCONIN, BALLASTED TRACK
Railpad vertical displacements and force
20
Sleepers, ballast, … displacement
• Expected decrease in space (bottom of sleeper, ballast, sub-layer, two levels in soil)
CASE STUDY OF CHAUCONIN TRACK SITE
21
Sleeper acceleration (test/FEM) BALLASTED TRACK AT CHAUCONIN
Sleeper vertical accelerations Time signals @ 100 Hz
Comparison of numerical / measured values
Earlier validations : PhD IST 2010, Patricia Ferreira : Modelling and prediction of the dynamic behaviour of railway infrastructures at very high speeds
Train passage i1 Train passage i2
Work in progress
22
• Work on verification – Model convergence (refinement, slice size, …)
– Effect of inaccuracy on dispersion curves
– Strategies on damping modeling
– Reflections -> PML
• Extend/optimize software – Reactivate settling analysis (handled through
offset on zrail) with stress/deflection sensors
– Deal with parametric studies (effects of properties)
– Optimize performance and restitution
ddN
d
Work in progress
23
• Ballastless track – configuration, mechanical properties and
target simulations
• Longitudinal stiffness variation – Multiple slices built into a track
– Ballast / Slab track transition zones