Clara LÉVY

Dr. Clara LÉVY

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 December 2010 in Journal of Geophysical Research: Earth Surface
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CLClara LÉVY
Clara LÉVY
LBL. Baillet
L. Baillet
DJD. Jongmans
D. Jongmans
PMP. Mourot
P. Mourot
DHDidier Hantz
Didier Hantz

10 October 2015 in Journal of Geophysical Research: Solid Earth
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CLClara LÉVY
Clara LÉVY
AMAnne Mangeney
Anne Mangeney
FBFabian Bonilla
Fabian Bonilla
CHClément Hibert
Clément Hibert
ECEliza S. Calder
Eliza S. Calder
PSPatrick J. Smith
Patrick J. Smith
Accurate modeling of rockfalls and pyroclastic flows is still an open issue, partly due to a lack of measurements related to their dynamics. Using seismic data from the Soufrière Hills Volcano, Montserrat, and granular flow modeling, we show that the power laws relating the seismic energy Es to the seismic duration ts and relating the loss of potential energy ΔEp to the flow duration tf are very similar, like the power laws observed at Piton de la Fournaise, Reunion Island. Observations showing that tf≃ts suggest a constant ratio Es/ΔEp≃10−5. This similarity in these two power laws can be obtained only when the granular flow model uses a friction coefficient that decreases with the volume transported. Furthermore, with this volume‐dependent friction coefficient, the simulated force applied by the flow to the ground correlates well with the seismic energy, highlighting the signature of this friction weakening effect in seismic data.

9 May 2013 in Geophysical Journal International
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PBP. Bottelin
P. Bottelin
CLClara LÉVY
Clara LÉVY
LBL. Baillet
L. Baillet
DJD. Jongmans
D. Jongmans
PGP. Guéguen
P. Guéguen
A potentially unstable limestone column (∼1000 m3, Vercors, French Alps) delineated by an open rear fracture was continuously instrumented with two three-component seismic sensors from mid-May 2009 to mid-October 2011. Spectral analysis of seismic noise allowed several resonance frequencies to be determined, ranging from 6 to 21 Hz. The frequency domain decomposition (FDD) technique was applied to the ambient vibrations recorded on the top of the rock column. Three vibration modes were identified at 6, 7.5 and 9 Hz, describing the upper part of corresponding modal shapes. Finite element numerical modelling of the column dynamic response confirmed that the first two modes are bending modes perpendicular and parallel to the fracture, respectively, while the third one corresponds to torsion. Seismic noise monitoring also pointed out that resonance frequencies fluctuate with time, under thermomechanical control. For seasonal cycles, changes in frequency are due to the variations of the bulk elastic properties with temperature. At daily scale, increase in fundamental frequency with temperature has been interpreted as resulting from the rock expansion inducing a closure of the rear fracture rock bridges, hence stiffening the contact between the column and the rock mass. Conversely, the rock contraction induces a fracture opening and a decrease in resonance frequency. In winter, when the temperature drops below 0 °C, a dramatic increase in fundamental frequency is observed from 6 Hz to more than 25 Hz, resulting from ice formation in the fracture. During spring, the resonance frequency gradually diminishes with ice melting to reach the value measured before winter.

26 May 2011 in Geophysical Journal International
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CLClara LÉVY
Clara LÉVY
DJDenis Jongmans
Denis Jongmans
LBLaurent Baillet
Laurent Baillet
Summary. A small-aperture (40 m) short-period seismic array was installed during four months on the Vercors massif (Western French Alps) at the top of a limest

1 December 2013 in Journal of Environmental and Engineering Geophysics
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PBPierre Bottelin
Pierre Bottelin
DJDenis Jongmans
Denis Jongmans
LBLaurent Baillet
Laurent Baillet
TLThomas Lebourg
Thomas Lebourg
DHDidier Hantz
Didier Hantz
LDLionel Darras
Lionel Darras
The dynamic response of four unstable rock compartments in the Alps has been studied using the ambient vibration technique, with the aim of identifying precursors to rockfalls. The test sites present various geological settings (limestone, argillite, and shale-sandstone series), failure mechanisms and volumes. The ambient vibration spectra measured on the unstable compartments systematically showed clear energy peaks at specific frequencies, in contrast with records made on the adjacent stable rock masses. These predominant frequencies were interpreted as resonant frequencies of the unstable compartments, in agreement with 2-D modal analysis. In the horizontal plane, ground motion at the fundamental frequency was found to be systematically parallel to the line of maximum slope gradient, and perpendicular to the main bounding fracture observed at most of the sites. The fundamental frequency of each prone-to-fall compartment shows reversible variations related to temperature fluctuations at different timescales, with a significant contrast in magnitude and phase shift between sites. At the more fractured site, resonance seems to result from a contrast in internal rigidity between the compartment and adjacent rock mass, rather than from decoupling along a rear fracture, which is the mechanism observed at the three other sites. No change in fundamental frequency resulting from damage was observed over the period of study.

16 November 2018 in Earth Surface Dynamics
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FPFloriane Provost
Floriane Provost
Jean-Philippe MaletJean-Philippe Malet
Jean-Philippe Malet
CHClément Hibert
Clément Hibert
AHAgnès Helmstetter
Agnès Helmstetter
MRMathilde Radiguet
Mathilde Radiguet
BVBenjamin Vial
Benjamin Vial
The objective of this work is to propose a standard classification of seismic signals generated by gravitational processes and detected at close distances (1 Hz) where most of the seismic energy is recorded at the 1 km sensor to source distances. Several signal properties (duration, spectral content and spectrogram shape) are used to describe the sources. We observe that similar gravitational processes generate similar signals at different slopes. Three main classes can be differentiated mainly from the length of the signals, the number of peaks and the duration of the autocorrelation. The classes are the “slopequake” class, which corresponds to sources potentially occurring within the landslide body; the “rockfall” class, which corresponds to signals generated by rock block impacts; and the “granular flow” class, which corresponds to signals generated by wet or dry debris/rock flows. Subclasses are further proposed to differentiate specific signal properties (frequency content, resonance, precursory signal). The signal properties of each class and subclass are described and several signals of the same class recorded at different slopes are presented. Their potential origins are discussed. The typology aims to serve as a standard for further comparisons of the endogenous microseismicity recorded on landslides.