Lehmann Peter, Ruette Jonas, Or Dani (2019), Deforestation Effects on Rainfall‐Induced Shallow Landslides: Remote Sensing and Physically‐Based Modelling, in Water Resources Research
, 55(11), 9962-9976.
Capelli A., Reiweger I., Schweizer J. (2019), Modeling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures With a Fiber Bundle Model, in Geophysical Research Letters
, 46(12), 6653-6662.
CAPELLI ACHILLE, REIWEGER INGRID, SCHWEIZER JÜRG (2018), Acoustic emission signatures prior to snow failure, in Journal of Glaciology
, 64(246), 543-554.
Lehmann Peter, von Ruette Jonas, Or Dani (2018), How Landslides Become Disasters, in Eos
, 99, 32-36.
Capelli Achille, Reiweger Ingrid, Lehmann Peter, Schweizer Jürg (2018), Fiber-bundle model with time-dependent healing mechanisms to simulate progressive failure of snow, in Physical Review E
, 98(2), 023002-023002.
Ruiz Siul, Capelli Achille, van Herwijnen Alec, Schneebeli Martin, Or Dani (2017), Continuum cavity expansion and discrete micromechanical models for inferring macroscopic snow mechanical properties from cone penetration dataContinuum Versus Discrete CPT Models in Snow, in Geophysical Research Letters
, 44(16), 8377-8386.
Michlmayr Gernot, Chalari Athena, Clarke Andy, Or Dani (2017), Fiber-optic high-resolution acoustic emission (AE) monitoring of slope failure, in Landslides
, 14(3), 1139-1146.
Capelli Achille, Kapil Jagdish, Reiweger Ingrid, Or Dani, Schweizer Jürg (2016), Speed and attenuation of acoustic waves in snow: laboratory experiments and modelling with Biot’s theory, in Cold Regions Science and Technology
, 125, 1-11.
We propose a framework for linking local failure in snow and soil preceding hazardous mass release with their measurable acoustic emission signatures. Relevant failure processes including: shearing, compression, fracturing, friction, root de-bonding, breakage of ice-crystals and cementing agents result in emission of measurable elastic waves. We propose to develop methodologies for improving in-situ monitoring and interpretation of acoustic emissions as markers of local failure events. Models for many interacting mechanical elements would be coupled with real-time statistical properties of acoustic emissions to assess the degree of susceptibility (criticality) to slope failure. To attain these goals we address the following scientific questions: (i) how can we identify and measure spatially distributed local failures, (ii) how can we relate a measured surrogate variable (e.g., acoustic signals) to the type and size of local failure, and (iii) can we improve predictions of time windows and locations of imminent mass release from real-time analyses of distributed acoustic emission signals. Results of this project should help close the gap between disciplines (acoustics and mechanics of abrupt failures in snow and soil), improve predictions of localized mass release events, and provide a better scientific basis for design of acoustically-based monitoring and early warning systems.