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Enhance the prediction capability of gravity-driven instabilities in heterogeneous natural media.

I focus my research and expertise on the examination of failures in natural heterogeneous media, specifically gravity-driven instabilities like snow avalanches, glacier break-offs, landslides, and rockfalls.

I have cultivated multidisciplinary approaches, encompassing experimental, analytical, statistical, and numerical methods, to attain a comprehensive understanding of the mechanisms that trigger these natural instabilities.

The objective of my work is to improve the evaluation of natural slope stability and develop effective early warning methods.

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Early Warning

Successfull prediction of glacier break-off
New method for early warning	Theory 1
	Theory 2
Application to rock glacier

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Understanding rupture process

Gravity-driven instabilities in natural media
Soil / Rock	landslide / rockfall
Ice	Glacier
Snow	Slab avalanches release
Permafrost	Rock glacier dynamics
heterogeneous media	all natural material

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Acquiring data

→ Acquiring glaciological and seismic data (Trift, Weisshorn) Switzerland

→ Installing seismic array on Trift glacier

→ Real-time seismic survey

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Analyzing data

→ Analysing surface displacements on hanging glaciers, Weisshorn, Switzerland

→ Processing and analysing seismic data, Weisshorn, Switzerland

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Numerical modeling

→ Conception and programmation of numerical models for gravity-driven instabilities in natural heterogeneous media, based on a cellular automaton and a spring-block model (Burridge-Knopoff type) in Matlab or Fiber Bundle Model in python.
→ Application to real unstable glacier
→ Application to all natural materials

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Selected animations

→ Slab avalanches with Cellular Automata

→ Rupture with Fiber Bundle Model

Long range redistribution

Short range redistribution