A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression

Rock quality designation (RQD) index is useful for assessing rock mass quality and slope instabilities. The traditional method of calculating RQD, such as drilling, suffers several limitations. Therefore, RQD has been correlated with several parameters, such as fracture frequency (λ), Volumetric Joi...

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Main Authors: Khan, Muhammad Junaid, Abdullah, Rini Asnida, Sa’ari, Radzuan, Sultan Shah, Kausar, Ullah, Rafi
Format: Article
Published: Springer Nature 2023
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Online Access:http://eprints.utm.my/106635/
http://dx.doi.org/10.1007/s00024-023-03260-8
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.1066352024-07-11T03:10:53Z http://eprints.utm.my/106635/ A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression Khan, Muhammad Junaid Abdullah, Rini Asnida Sa’ari, Radzuan Sultan Shah, Kausar Ullah, Rafi TA Engineering (General). Civil engineering (General) Rock quality designation (RQD) index is useful for assessing rock mass quality and slope instabilities. The traditional method of calculating RQD, such as drilling, suffers several limitations. Therefore, RQD has been correlated with several parameters, such as fracture frequency (λ), Volumetric Joint Count (Jv) and seismic velocity index. However, all the correlations in previous studies considered single parameters such as Jv and seismic velocity index. This study deployed an integrated unmanned aerial vehicle, 2D electrical resistivity tomography (2D ERT) and borehole survey to correlate and compare the influence of Jv and resistivity on RQD. A single linear regression analysis (SLR) in this research suggests that RQD and Jv are inversely proportional, while resistivity and RQD are directly proportional. In line with this, the negative coefficient (− 2.85) for Jv while positive (0.003) for resistivity obtained using multiple linear regression (MLR) modelling reflects that Jv and resistivity are negatively correlated while RQD and resistivity are positively correlated. Empirical correlation obtained via MLR revealed that the Jv influences the RQD more than resistivity. Based on the strong correlation between RQD and resistivity, it is concluded that resistivity is highly sensitive to the degree of rock mass fracturing. This allows us to conclude that the 2D ERT survey is a reliable and expeditious technique for subsurface rock mass characterization. Springer Nature 2023-06 Article PeerReviewed Khan, Muhammad Junaid and Abdullah, Rini Asnida and Sa’ari, Radzuan and Sultan Shah, Kausar and Ullah, Rafi (2023) A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression. Pure and Applied Geophysics, 180 (6). pp. 2351-2368. ISSN 0033-4553 http://dx.doi.org/10.1007/s00024-023-03260-8 DOI:10.1007/s00024-023-03260-8
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Khan, Muhammad Junaid
Abdullah, Rini Asnida
Sa’ari, Radzuan
Sultan Shah, Kausar
Ullah, Rafi
A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression
description Rock quality designation (RQD) index is useful for assessing rock mass quality and slope instabilities. The traditional method of calculating RQD, such as drilling, suffers several limitations. Therefore, RQD has been correlated with several parameters, such as fracture frequency (λ), Volumetric Joint Count (Jv) and seismic velocity index. However, all the correlations in previous studies considered single parameters such as Jv and seismic velocity index. This study deployed an integrated unmanned aerial vehicle, 2D electrical resistivity tomography (2D ERT) and borehole survey to correlate and compare the influence of Jv and resistivity on RQD. A single linear regression analysis (SLR) in this research suggests that RQD and Jv are inversely proportional, while resistivity and RQD are directly proportional. In line with this, the negative coefficient (− 2.85) for Jv while positive (0.003) for resistivity obtained using multiple linear regression (MLR) modelling reflects that Jv and resistivity are negatively correlated while RQD and resistivity are positively correlated. Empirical correlation obtained via MLR revealed that the Jv influences the RQD more than resistivity. Based on the strong correlation between RQD and resistivity, it is concluded that resistivity is highly sensitive to the degree of rock mass fracturing. This allows us to conclude that the 2D ERT survey is a reliable and expeditious technique for subsurface rock mass characterization.
format Article
author Khan, Muhammad Junaid
Abdullah, Rini Asnida
Sa’ari, Radzuan
Sultan Shah, Kausar
Ullah, Rafi
author_facet Khan, Muhammad Junaid
Abdullah, Rini Asnida
Sa’ari, Radzuan
Sultan Shah, Kausar
Ullah, Rafi
author_sort Khan, Muhammad Junaid
title A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression
title_short A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression
title_full A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression
title_fullStr A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression
title_full_unstemmed A comparative study of the influence of volumetric joint counts (Jv) and resistivity on rock quality designation (RQD) using multiple linear regression
title_sort comparative study of the influence of volumetric joint counts (jv) and resistivity on rock quality designation (rqd) using multiple linear regression
publisher Springer Nature
publishDate 2023
url http://eprints.utm.my/106635/
http://dx.doi.org/10.1007/s00024-023-03260-8
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