Monitoring the Preonzo rock slope instability using resonance mode analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F21%3A00542057" target="_blank" >RIV/67985530:_____/21:00542057 - isvavai.cz</a>
Result on the web
<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JF005709" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JF005709</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1029/2020JF005709" target="_blank" >10.1029/2020JF005709</a>
Alternative languages
Result language
angličtina
Original language name
Monitoring the Preonzo rock slope instability using resonance mode analysis
Original language description
Reliable monitoring of unstable rock slopes is a prerequisite for successful mitigation of landslide hazards. However, most state-of-the art techniques rely on measuring the local surface displacement in the potential release area. In contrast, recording ambient vibration data allows for analyzing structural dynamic parameters of the unstable slope, such as resonance frequency, polarization of vibration, and energy dissipation. These parameters can be linked to properties of the instability, for example, to rock stiffness and fracture network orientation. We developed a processing method for continuous seismic data based on enhanced frequency domain decomposition modal analysis and applied it to the unstable rock slope Preonzo in Switzerland (similar to 140,000 m(3)). Four years of ambient vibration data recorded at two permanent seismometers on the instability were analyzed, providing the resonance frequency, damping ratio, and normal mode shapes of the fundamental (similar to 3.5 Hz) and the first higher (similar to 4.2 Hz) vibrational mode. We found that modal analysis can be reliably used to monitor the dynamic response of an unstable rock slope. We observed annual changes of all parameters with a damping ratio varying between 6.0% and 9.7% for the fundamental mode. The dynamic parameters appear to be primarily driven by temperature and only secondarily by opening and closing of fractures. No large slope failure was registered during the observation period. However, the data provide a baseline model for ongoing slope monitoring to recognize structural changes before a future collapse. The setup proposed builds a complementary monitoring system to displacement-based surveying.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10507 - Volcanology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Geophysical Research-Earth Surface
ISSN
2169-9003
e-ISSN
2169-9011
Volume of the periodical
126
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
e2020JF005709
UT code for WoS article
000645002100008
EID of the result in the Scopus database
2-s2.0-85104965881