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Acoustic Emission Spectra Classification from Rock Samples of Etna Basalt in Deformation-Decompression Laboratory Experiments

de Rubeis, V; Vinciguerra, S; Tosi, P; Sbarra, P; Benson, PM; (2010) Acoustic Emission Spectra Classification from Rock Samples of Etna Basalt in Deformation-Decompression Laboratory Experiments. Synchronization and Triggering: from Fracture to Earthquake Processes. Geoplanet: Earth and Planetary Sciences pp. 201-211. 10.1007/978-3-642-12300-9_11. Green open access

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Abstract

Recent laboratory experiments on Etna basalt have permitted the generation of an extensive catalogue of acoustic emissions (AE) during two key experimental phases. Firstly, AE have been generated during triaxial compressional tests and formation of a complex fracture/damage zone. Secondly, rapid fluid decompression through the damage/shear zone after failure. We report new results from an advanced analysis method using AE spectrograms, allowing us to qualitatively identify high and low frequency events, essentially comparable to seismicity in volcanic areas. Our analysis, for the first time, quantitatively classifies 'families' of AE events belonging to the same experimental stage without prior knowledge. We then test the method using the AE catalogue for verification, which is not possible with field data. The FFT spectra obtained from AE are subdivided into equal log intervals for which a local slope is calculated. Factor analysis has been then applied, in which we use a data matrix of columns representing the variables considered (frequency data averaged in bins) vs. rows indicating each AE data set. Factor analysis shows that the method is very effective and suitable for reducing data complexity, allowing distinct factors to be obtained. We conclude that most of the data variance (information content) can be well represented by three factors only, each one representing a well defined frequency range. Through the factor scores it is possible to represent data in a lower dimension factor space. Classification is then possible by identifying clusters of AE belonging to the same experimental stage. This allows us to propose a deformation/decompression interpretation based solely on the AE frequency analysis and to identify a third type of AE related to fluid movements in the deformation stage. © Springer-Verlag Berlin Heidelberg 2010.

Type: Article
Title: Acoustic Emission Spectra Classification from Rock Samples of Etna Basalt in Deformation-Decompression Laboratory Experiments
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-12300-9_11
Publisher version: https://doi.org/10.1007/978-3-642-12300-9_11
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Earth Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10110933
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