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Detection of rock bridges by infrared thermal imaging and modeling
Characterization of rock discontinuities and rock bridges is required to define stability conditions of fractured rock masses in both natural and engineered environments. Although remote sensing methods for mapping discontinuities have improved in recent years, remote detection of intact rock bridge...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739350/ https://www.ncbi.nlm.nih.gov/pubmed/31511533 http://dx.doi.org/10.1038/s41598-019-49336-1 |
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author | Guerin, Antoine Jaboyedoff, Michel Collins, Brian D. Derron, Marc-Henri Stock, Greg M. Matasci, Battista Boesiger, Martin Lefeuvre, Caroline Podladchikov, Yury Y. |
author_facet | Guerin, Antoine Jaboyedoff, Michel Collins, Brian D. Derron, Marc-Henri Stock, Greg M. Matasci, Battista Boesiger, Martin Lefeuvre, Caroline Podladchikov, Yury Y. |
author_sort | Guerin, Antoine |
collection | PubMed |
description | Characterization of rock discontinuities and rock bridges is required to define stability conditions of fractured rock masses in both natural and engineered environments. Although remote sensing methods for mapping discontinuities have improved in recent years, remote detection of intact rock bridges on cliff faces remains challenging, with their existence typically confirmed only after failure. In steep exfoliating cliffs, such as El Capitan in Yosemite Valley (California, USA), rockfalls mainly occur along cliff-parallel exfoliation joints, with rock bridges playing a key role in the stability of partially detached exfoliation sheets. We employed infrared thermal imaging (i.e., thermography) as a new means of detecting intact rock bridges prior to failure. An infrared thermal panorama of El Capitan revealed cold thermal signatures for the surfaces of two granitic exfoliation sheets, consistent with the expectation that air circulation cools the back of the partially detached sheets. However, we also noted small areas of warm thermal anomalies on these same sheets, even during periods of nocturnal rock cooling. Rock attachment via rock bridges is the likely cause for the warm anomalies in the thermal data. 2-D model simulations of the thermal behavior of one of the monitored sheets reproduce the observed anomalies and explain the temperature differences detected in the rock bridge area. Based on combined thermal and ground-based lidar imaging, and using geometric and rock fracture mechanics analysis, we are able to quantify the stability of both sheets. Our analysis demonstrates that thermography can remotely detect intact rock bridges and thereby greatly improve rockfall hazard assessment. |
format | Online Article Text |
id | pubmed-6739350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67393502019-09-22 Detection of rock bridges by infrared thermal imaging and modeling Guerin, Antoine Jaboyedoff, Michel Collins, Brian D. Derron, Marc-Henri Stock, Greg M. Matasci, Battista Boesiger, Martin Lefeuvre, Caroline Podladchikov, Yury Y. Sci Rep Article Characterization of rock discontinuities and rock bridges is required to define stability conditions of fractured rock masses in both natural and engineered environments. Although remote sensing methods for mapping discontinuities have improved in recent years, remote detection of intact rock bridges on cliff faces remains challenging, with their existence typically confirmed only after failure. In steep exfoliating cliffs, such as El Capitan in Yosemite Valley (California, USA), rockfalls mainly occur along cliff-parallel exfoliation joints, with rock bridges playing a key role in the stability of partially detached exfoliation sheets. We employed infrared thermal imaging (i.e., thermography) as a new means of detecting intact rock bridges prior to failure. An infrared thermal panorama of El Capitan revealed cold thermal signatures for the surfaces of two granitic exfoliation sheets, consistent with the expectation that air circulation cools the back of the partially detached sheets. However, we also noted small areas of warm thermal anomalies on these same sheets, even during periods of nocturnal rock cooling. Rock attachment via rock bridges is the likely cause for the warm anomalies in the thermal data. 2-D model simulations of the thermal behavior of one of the monitored sheets reproduce the observed anomalies and explain the temperature differences detected in the rock bridge area. Based on combined thermal and ground-based lidar imaging, and using geometric and rock fracture mechanics analysis, we are able to quantify the stability of both sheets. Our analysis demonstrates that thermography can remotely detect intact rock bridges and thereby greatly improve rockfall hazard assessment. Nature Publishing Group UK 2019-09-11 /pmc/articles/PMC6739350/ /pubmed/31511533 http://dx.doi.org/10.1038/s41598-019-49336-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Guerin, Antoine Jaboyedoff, Michel Collins, Brian D. Derron, Marc-Henri Stock, Greg M. Matasci, Battista Boesiger, Martin Lefeuvre, Caroline Podladchikov, Yury Y. Detection of rock bridges by infrared thermal imaging and modeling |
title | Detection of rock bridges by infrared thermal imaging and modeling |
title_full | Detection of rock bridges by infrared thermal imaging and modeling |
title_fullStr | Detection of rock bridges by infrared thermal imaging and modeling |
title_full_unstemmed | Detection of rock bridges by infrared thermal imaging and modeling |
title_short | Detection of rock bridges by infrared thermal imaging and modeling |
title_sort | detection of rock bridges by infrared thermal imaging and modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739350/ https://www.ncbi.nlm.nih.gov/pubmed/31511533 http://dx.doi.org/10.1038/s41598-019-49336-1 |
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