2021
DOI: 10.1590/0370-44672019740150
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Abstract: The rock mass deformation modulus, E rm , is an input parameter for most numerical modeling to verify the deformation behavior of rocks due to rock engineering activities within/on it. Among the most common methodologies used for estimating this parameter, empirical correlations based on rock mass classification schemes (e.g., RQD, RMR, GSI, and Q) stand out the most, principally because of their low cost when compared to the other methods. Herein, the main correlations used in practice are evaluated and compa… Show more

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Cited by 5 publications
(1 citation statement)
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“…In empirical classification systems, support materials such as shotcrete, anchor bolts and wire hangers are recommended preliminary supports during tun-nel design and construction, and RMR is an effective tool for this purpose (Zhang, 2017).Various empirical methods have been developed for determining the deformation and displacement of rock masses and design of underground excavations for a particular project (Roslee et al, 2020). The evaluation of design models of a site cannot be made from this limited number of test results, encouraging the geotechnical engineers to go for numerical modeling or forcing them to develop empirical correlations (Polemis et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…In empirical classification systems, support materials such as shotcrete, anchor bolts and wire hangers are recommended preliminary supports during tun-nel design and construction, and RMR is an effective tool for this purpose (Zhang, 2017).Various empirical methods have been developed for determining the deformation and displacement of rock masses and design of underground excavations for a particular project (Roslee et al, 2020). The evaluation of design models of a site cannot be made from this limited number of test results, encouraging the geotechnical engineers to go for numerical modeling or forcing them to develop empirical correlations (Polemis et al, 2021).…”
Section: Introductionmentioning
confidence: 99%