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Application of electrical resistivity tomography (ERT) for rock mass quality evaluation
Rock mass quality evaluation is a challenging task in geotechnical investigations given the natural heterogeneity and the limited data. These investigations mainly depend on the traditional drilling tests. However, such tests are expensive and time consuming, provide point measurements, and cannot b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655069/ https://www.ncbi.nlm.nih.gov/pubmed/34880388 http://dx.doi.org/10.1038/s41598-021-03217-8 |
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author | Hasan, Muhammad Shang, Yanjun Meng, He Shao, Peng Yi, Xuetao |
author_facet | Hasan, Muhammad Shang, Yanjun Meng, He Shao, Peng Yi, Xuetao |
author_sort | Hasan, Muhammad |
collection | PubMed |
description | Rock mass quality evaluation is a challenging task in geotechnical investigations given the natural heterogeneity and the limited data. These investigations mainly depend on the traditional drilling tests. However, such tests are expensive and time consuming, provide point measurements, and cannot be conducted in steep topographic areas, and thus cause uncertainties in the geological model. Conversely, geophysical methods such as electrical resistivity tomography (ERT) are non-invasive, user-friendly, and fast. In this work, we establish empirical correlation between ERT and limited drilling data to obtain rock mass integrity coefficient (Kv). The estimated Kv provides 2D/3D imaging of the rock mass quality evaluation via weathered/unweathered rock and faults detection in order to cover the entire area even where no drilling test exists. Compared with the past geotechnical investigations, our work reduce the ambiguities caused by the inadequate well tests and provide more accurate geological model for infrastructures design. Our work proposes that, in case of sparse borehole data, the established empirical equations can be used to determine Kv along different geophysical profiles via 2D/3D insight of the subsurface. Our approach is applicable in any hard rock setting, and the established correlations can be used in areas even where no well test exists. |
format | Online Article Text |
id | pubmed-8655069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86550692021-12-13 Application of electrical resistivity tomography (ERT) for rock mass quality evaluation Hasan, Muhammad Shang, Yanjun Meng, He Shao, Peng Yi, Xuetao Sci Rep Article Rock mass quality evaluation is a challenging task in geotechnical investigations given the natural heterogeneity and the limited data. These investigations mainly depend on the traditional drilling tests. However, such tests are expensive and time consuming, provide point measurements, and cannot be conducted in steep topographic areas, and thus cause uncertainties in the geological model. Conversely, geophysical methods such as electrical resistivity tomography (ERT) are non-invasive, user-friendly, and fast. In this work, we establish empirical correlation between ERT and limited drilling data to obtain rock mass integrity coefficient (Kv). The estimated Kv provides 2D/3D imaging of the rock mass quality evaluation via weathered/unweathered rock and faults detection in order to cover the entire area even where no drilling test exists. Compared with the past geotechnical investigations, our work reduce the ambiguities caused by the inadequate well tests and provide more accurate geological model for infrastructures design. Our work proposes that, in case of sparse borehole data, the established empirical equations can be used to determine Kv along different geophysical profiles via 2D/3D insight of the subsurface. Our approach is applicable in any hard rock setting, and the established correlations can be used in areas even where no well test exists. Nature Publishing Group UK 2021-12-08 /pmc/articles/PMC8655069/ /pubmed/34880388 http://dx.doi.org/10.1038/s41598-021-03217-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hasan, Muhammad Shang, Yanjun Meng, He Shao, Peng Yi, Xuetao Application of electrical resistivity tomography (ERT) for rock mass quality evaluation |
title | Application of electrical resistivity tomography (ERT) for rock mass quality evaluation |
title_full | Application of electrical resistivity tomography (ERT) for rock mass quality evaluation |
title_fullStr | Application of electrical resistivity tomography (ERT) for rock mass quality evaluation |
title_full_unstemmed | Application of electrical resistivity tomography (ERT) for rock mass quality evaluation |
title_short | Application of electrical resistivity tomography (ERT) for rock mass quality evaluation |
title_sort | application of electrical resistivity tomography (ert) for rock mass quality evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655069/ https://www.ncbi.nlm.nih.gov/pubmed/34880388 http://dx.doi.org/10.1038/s41598-021-03217-8 |
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