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PROGRAMME Interreg IVa – Alcotra 2007-2013 PROGRAMME Interreg IVa – Alcotra 2007-2013
M. A. S. S. A.
Discrete Modeling of Rock Avalanches
FEDERFonds Européens pour le
Développement Régional
Ensemble au-delà des frontièresInsieme oltre i confini
Guilhem Mollon, Vincent Richefeu, Pascal Villard, Dominique Daudon
3SR Lab, University of Grenoble, France
Context of the study
Frank slide, 30 103 m3
Pirulli and Mangeney, 2007
103 m3- 105 m3
Purpose : numerical modeling of the propagation of a rock avalanche
Experiences performed at EPFL
Base of the study:
experimental device from
EPFL
Materials:
Object of the study: propagation and deposit
of the granular mass
Manzella and Labiouse
2009
Principles of the modeling
Discrete Element Modeling with
Coulomb friction coefficient and
normal damping
Bricks modeled by sphero-polyedra
Experimental identification of the parameters
4 parameters to determine for each type of contact :
Experimental device of controlled fall
• Filmed by 2 cameras, 1000 frames/seconde
• Tracking of 3 points on each frame, and 4 points in total
• Back-analysis of the 3D trajectory to obtain the model parameters
Results of the fitting :
Vx Vy Vz
ωx ωy ωz
Before and after impact
Determination of the kinematics of the brick from the trajectories of the points : back-analyse 1
Experimental identification of the parameters
Experimental measurements
Vx Vy Vz
ωx ωy ωz
Measured before impact
Vx Vy Vz
ωx ωy ωz
Measured after impact
Introduction in the discrete model
Numerical simulation for a given set of the
parameters (en2, μ, kn, kt)
Vx Vy Vz
ωx ωy ωz
Computed after impact
Comparison
Erreur function : err(en
2, μ, kn, kt)
Minimization
Determination of the contact parameters from the kinematics of the brick: back-analyse 2
Experimental identification of the parameters
Result of the fitting
Example of result for a Brick-Support impact
Optimal parameters:
en2 μ kn kt/kn
Brick/Support contact 0,53 0,46 (φ=25°) 105 0,42
Brick/Brick contact 0,13 0,86 (φ=41°) 105 0,27
Simulation of 6300 randomly poured bricks
Simulation of the EPFL experiment (Manzella and Labiouse 2009) with bricks randomly poured in the starting box
Parameters of the simulation:
Release height: 1mApparent volume: 40L
Number of particle: 6307Material density: 17kN/m3
“Smooth” support
Results of the simulation:
Simulation of 6300 randomly poured bricks
Comparison of the experimental and numerical deposits:
First information about the deposit kinematics
Simulation of 6300 randomly poured bricks
Kinematics of the rock flow
Initial apparent volume : 40LFinal apparent volume : 57L
Volume change along time :
Kinematics of the rock flow
Close study of the velocities, angular velocities, and solid fraction during the flow
-Velocity is maximum before the transition zone, constant in the deposit-Important angular velocities at the angle, no more rotation in the deposit-Solid fraction decreases in the slope, and slightly increases in the deposit
Energy considerations
The numerical results provide the evolution of the energy levels in the flow:
-The kinetic energy is maximal just after the impact on the horizontal plane-The kinetic energy related to rotations is negligible-Most of the energy dissipation is related to basal friction
Along time:
Along the X-axis:
-There is a peak of energy dissipation around the transition zone-This peak is related to inter-particle energy dissipations
Influence of the basal friction
Introduction of a « macro-roughness » at the blocks scale:
Question: How does it compare with a simple increase of the friction coefficient on a regular slope ?
Influence of the basal friction
Case B:
Introduction of a « macro-roughness »
Case A:
Increase of the friction coefficient of the slope
Volume Change
Deposit Shape
Energy Balance
Perspectives - Work in progress
Modeling of a rock avalanche in a real context
Use of a digital Elevation Model
Short-term application:Rock avalanche on the
Néron (Grenoble, France) in 2011
Conclusion
Cutting Procedure
Conclusion
Thank you
Guilhem Mollon