
Sciences Naturelles et de l'Ingénieur
Global gyrokinetic electrostatic turbulence simulations usin... ›
Sciences Naturelles et de l'Ingénieur
Local and global gyrokinetic simulations of microturbulence ... ›
Sciences Naturelles et de l'Ingénieur
Numerical Simulation of the Cardiovascular System ›
Sciences Naturelles et de l'Ingénieur
Numerical simulation of the fast ion dynamics in thermonucle... ›
Sciences Naturelles et de l'Ingénieur
Atomic-Scale Investigation of the Defect Levels at Ge and II... ›
Sciences Naturelles et de l'Ingénieur
Application of classical, mixed quantum mechanical/molecular... ›
Sciences Naturelles et de l'Ingénieur
Physico-chemical processes at surfaces and in solution ›
Sciences Naturelles et de l'Ingénieur
Large-Eddy Simulations of High Reynolds Number Incompressibl... ›
Sciences Naturelles et de l'Ingénieur
Large Eddy Simulation of Particle Removal inside a Different... ›
Dr. Marc-Antoine Habisreutinger Researcher in the Institute of Geomatics and Risk Analysis at UNIL
Sciences de la Vie
Direct Numerical Simulation of geophysical flows
Researcher in the Institute of Geomatics and Risk Analysis at UNIL
20 January 2011
The driving motivation of this project is to bring a computational approach as a prediction tool for environment hazards such as landslides, or rock- and snow avalanches. Modeling such events requires to deal with large uncertainties on the initial conditions, and with turbulent flows of heterogeneous materials which experiences a chaotic evolution. This implies major issues in terms of accuracy, stability and scalability of the numerical algorithms, but may also require the development of specific rheological models since these materials exhibit viscous, elastic and plastic behaviours. In this perspective, the simulation of a long run-out rock-avalanche is envisaged. Among such events, the Frank slide (Alberta, Canada) is one of the most documented in terms of initial and final conditions. The comparison of the numerical simulations with these measurements is a mandatory step in terms of validation. Moreover, it may provide new insights on the fundamental mechanisms of avalanche propagation which are not yet understood, and thereby enable the improvement of the simplified models used to date.








