The Challenge of Rock Mass Classification of Anisotropic Rockmasses

Rock mass classification of anisotropic rockmasses has always been a challenge for the Rock Engineering industry. The widely used rock mass classification systems, such as RMR, Q and GSI have been tested in practice over the years and in many cases, it proved that they could provide a classification...

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Vydáno v:Rock mechanics and rock engineering Ročník 58; číslo 10; s. 11195 - 11215
Hlavní autor: Saroglou, Charalampos
Médium: Journal Article
Jazyk:angličtina
Vydáno: Vienna Springer Vienna 01.10.2025
Springer Nature B.V
Témata:
Anisotropic rocks
Anisotropy
Civil Engineering
Classification
Classification systems
Earth and Environmental Science
Earth Sciences
Engineering
Geophysics/Geodesy
Metamorphic rocks
Original Paper
Parameter estimation
Rock mass rating
Shear strength
State-of-the-art reviews
Greece
China
ARMR
Rock mass
GSI
Anisotropy
RMR
Classification
ISSN:0723-2632, 1434-453X
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Shrnutí:Rock mass classification of anisotropic rockmasses has always been a challenge for the Rock Engineering industry. The widely used rock mass classification systems, such as RMR, Q and GSI have been tested in practice over the years and in many cases, it proved that they could provide a classification of such rockmasses only if reasonable modifications to their original form were pursued. The intention of the paper is to review the state of the art of rock mass classification systems for anisotropic rockmasses. The primary challenge is the fact that in anisotropic rockmasses, classifications are only applicable when the failure is not governed by the orientation and the properties of the anisotropic planes. In cases where failure is not controlled by the anisotropy planes, it is critical to classify the rockmass appropriately considering the complexity due to anisotropy. A review of the available tools for the classification of such rockmasses is presented. Recently, anisotropic rock mass rating (ARMR) system provided a means for quantitative rock mass classification for anisotropic rockmasses. The paper presents a review from the application of the system in various cases studies, mainly from rock slope engineering and tunneling projects and provides a comparison with RMR and GSI. The method of application of ARMR is also discussed. The paper gives further insight for future challenges and developments of rockmass classifications for anisotropic rockmasses.
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ISSN:0723-2632
1434-453X
DOI:10.1007/s00603-025-04681-8