A geo-engineering classification for rocks and rock masses

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Abstract

In this article, an attempt is made to assess the reliability of predicting the uniaxial compressive strength and the corresponding modulus of a rock mass by current approaches. These two basic engineering properties, when estimated from rock mass rating (RMR), Q and geological strength index (GSI), indicate hardly any change in the modulus ratio with the change in the quality of the rock mass from very good to very poor. However, the modulus ratio obtained from the relations involving the joint factor, Jf, indicate a definite decrease in the modulus ratio with a decrease in the quality of the rock mass. The strength and modulus in the unconfined and confined states, the modulus ratio and failure strain in the unconfined case were linked to Jf in earlier publications based on a large experimental database. Some of these relations were adopted to verify the response of jointed test specimens, the response of the rock mass during excavations for mining and civil underground chambers, in establishing ground reaction curves including the extent of the broken zone, and the bearing capacity of shallow foundations.

The joint factor is now linked to RMR, Q and GSI. The prediction of compressive strength and modulus of the rock mass appears to be more suitable. For classifying the rock, based on these properties, the Deere and Miller engineering classification, applicable to intact rocks, has been suitably modified and adopted. The results of different modes of failure of jointed specimens establish definite trends of changes in the modulus ratio originating from the intact rock value on the modified Deere and Miller plot. A geo-engineering classification is evolved by considering strength, modulus, quantifiable weathering index and lithological aspects of the rock.

Introduction

Rocks have been classified on the basis of their origin, mineralogical composition, void index, fracture/joint intensity, joint inclination, flow rate of water, velocity of propagation of shock wave, weathering, colour or grain size. When rocks and rock masses are classified for geotechnical purposes, they need to be classified on the basis of strength and/or modulus to give an indication of their stability and/or deformability. A rock classification has to provide a common basis to communicate, to identify a rock mass within one of the groups having well-defined characteristics, and also to provide basic input data for engineering design. For effective and successful usage of a classification system, it has to be simple, easy to understand, remember and apply.

Only the significant and intrinsic parameters of the rock should be considered which will influence the engineering behaviour most, and each parameter must represent itself exclusively. The parameters should be easily measurable and be linked in such a way that the quality of the rock mass is reflected in terms of its strength and modulus. It is imperative, while classifying a rock mass and to understand the mass response, to obtain an indication of the extent of reduction which has taken place in the strength and modulus of intact rock. This is desirable because field tests are time consuming, costly and often adequate in terms of estimating realistic design parameters.

Presently, there are four approaches available to estimate the uniaxial compressive strength and corresponding modulus, namely: rock mass rating (RMR), Q, Jf and geological strength index (GSI). Each of the approaches gives different values and each one can be tested for its reliability by considering the modulus ratio. The approach of Jf is based on many experimental data and suggests a continuous decrease of modulus ratio with the decrease of rock quality—unlike other approaches. It also enables one to estimate the strength and modulus under any required confining pressure.

A rock, either intact or jointed, should be classified in its simplest state of existence, i.e., in the unconfined condition. The influence of in situ stress (i.e. confining stress) and other environmental factors (such as seepage pressure, etc.) should be considered appropriately in the analysis for assessing the stability of the rock mass, e.g. in terms of effective stress, as is the practice in saturated soils.

Section snippets

Classification of intact rocks

For engineering usage, attempts were made to classify intact rocks based on an individual property, such as uniaxial compressive strength, modulus and point load strength index, notably by Coates [1], Deere and Miller [2], Stapledon [3], Franklin et al. [4], Hansagi [5] and the ISRM [6], [7]. Such simplified classification systems have served to understand the upper bound response of the rocks.

The classification proposed by Deere and Miller [2] for intact rocks is based on the combined

Response of jointed rocks

It is well recognized that the engineering behaviour of a rock mass is controlled by more than one factor, and the influence of each of these factors differs greatly. Any attempt to classify rock based on a single parameter, like joint frequency, will not be satisfactory. A descriptive rock mass classification proposed by Terzaghi [8] has been useful for tunnels and for a particular type of construction technique, but it could not be extended for foundations and slopes. However, Terzaghi's

Classification based on strength and modulus

If the compressive strength and modulus of a rock mass are known, one could classify the rock mass along the lines of the approach adopted by Deere and Miller [2]. Even though the original classification due to Deere and Miller was suggested only for intact rocks, it could be modified to classify rock masses as well. The main advantage of such a classification is that it not only takes into account two important engineering properties of the rock mass but also gives an assessment of the failure

Classification based on strength and failure strain

As suggested by Eq. (30), the modulus ratio is the inverse of the failure strain when the stress–strain curve is linear. Therefore, another way of classifying a rock could be by using failure compressive strength and failure axial strain. When Mrj is estimated for a jointed rock, the failure strain could also be estimated assuming the rock to be responding linearly under a uniaxial condition. Table 9 suggests the likely minimum failure strain levels covering both intact and jointed rocks. Using

Geo-engineering classification

To have a comprehensive understanding of the rock, its past history, namely the genesis, the predominant rock mineral present and the weathering effect will have to be considered. The weathering process discolors, decomposes and disintegrates the rock and affects the discontinuities most. It has a decisive influence on the compressive strength and modulus of rock, either intact or jointed. When these values are found to be low for a particular rock, it may be due to the weathering in addition

Discussion

The relations for the estimation of uniaxial compressive strength and the corresponding modulus from Jf are based on the experimental results under unconstrained conditions [18]. Whereas the assessment of these two basic values of a rock mass, either by RMR, Q or GSI, is based on experience and some back analysis. More recently, Kalamaras and Bieniawski [14] presented a modified expression to estimate uniaxial compressive strength of rock mass taking into consideration the experimental results

Conclusions

The objective of the present study has been to examine the reliability of the prediction of uniaxial compressive strength and its corresponding modulus by some of the popular approaches currently in use, to indicate a more reliable approach, and to suggest a Geo-engineering Classification applicable to both intact rocks and rock masses based on these two properties. The following are some of the salient conclusions.

  • 1.

    The uniaxial compressive strength and modulus of jointed rocks predicted by RMR,

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