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Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis
We propose a new statistical analysis of the Acoustic Emissions (AE) produced in a series of triaxial deformation experiments leading to fractures and failure of two different rocks, namely, Darley Dale Sandstone (DDS) and AG Granite (AG). By means of q-statistical formalism, we are able to characte...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138155/ https://www.ncbi.nlm.nih.gov/pubmed/37190489 http://dx.doi.org/10.3390/e25040701 |
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author | Vinciguerra, Sergio C. Greco, Annalisa Pluchino, Alessandro Rapisarda, Andrea Tsallis, Constantino |
author_facet | Vinciguerra, Sergio C. Greco, Annalisa Pluchino, Alessandro Rapisarda, Andrea Tsallis, Constantino |
author_sort | Vinciguerra, Sergio C. |
collection | PubMed |
description | We propose a new statistical analysis of the Acoustic Emissions (AE) produced in a series of triaxial deformation experiments leading to fractures and failure of two different rocks, namely, Darley Dale Sandstone (DDS) and AG Granite (AG). By means of q-statistical formalism, we are able to characterize the pre-failure processes in both types of rocks. In particular, we study AE inter-event time and AE inter-event distance distributions. Both of them can be reproduced with q-exponential curves, showing universal features that are observed here for the first time and could be important in order to understand more in detail the dynamics of rock fractures. |
format | Online Article Text |
id | pubmed-10138155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101381552023-04-28 Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis Vinciguerra, Sergio C. Greco, Annalisa Pluchino, Alessandro Rapisarda, Andrea Tsallis, Constantino Entropy (Basel) Article We propose a new statistical analysis of the Acoustic Emissions (AE) produced in a series of triaxial deformation experiments leading to fractures and failure of two different rocks, namely, Darley Dale Sandstone (DDS) and AG Granite (AG). By means of q-statistical formalism, we are able to characterize the pre-failure processes in both types of rocks. In particular, we study AE inter-event time and AE inter-event distance distributions. Both of them can be reproduced with q-exponential curves, showing universal features that are observed here for the first time and could be important in order to understand more in detail the dynamics of rock fractures. MDPI 2023-04-21 /pmc/articles/PMC10138155/ /pubmed/37190489 http://dx.doi.org/10.3390/e25040701 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vinciguerra, Sergio C. Greco, Annalisa Pluchino, Alessandro Rapisarda, Andrea Tsallis, Constantino Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis |
title | Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis |
title_full | Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis |
title_fullStr | Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis |
title_full_unstemmed | Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis |
title_short | Acoustic Emissions in Rock Deformation and Failure: New Insights from Q-Statistical Analysis |
title_sort | acoustic emissions in rock deformation and failure: new insights from q-statistical analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138155/ https://www.ncbi.nlm.nih.gov/pubmed/37190489 http://dx.doi.org/10.3390/e25040701 |
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