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Predicting the compressive and tensile strength of rocks from indentation hardness index

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TLDR
In this paper, a simple and easy indentation hardness test is proposed to predict the uniaxial compressive strength (UCS) and Brazilian tensile strength (BTS) of rock for designing surface and underground structures.
Abstract
Rock engineers have commonly used the uniaxial compressive strength (UCS) and Brazilian tensile strength (BTS) of rock for designing surface and underground structures. Determining these rock strengths is timeconsuming and expensive, particularly for the preliminary studies of projects. For this reason, indirect tests such as Schmidt rebound number and, ultrasonic test are often used for predicting rock strength. Since indirect tests require less or no sample preparation and the testing equipment is less sophisticated, these tests are very easy to carry out. In addition, these tests can usually be performed in the field. The indentation hardness test is a simple and easy test and can be conducted using a point load test apparatus. The test is of particular value when only a limited amount of rock material, e.g. a thin disc of core or a small lump sample, is available1. The UCS and BTS can easily be predicted from the indentation hardness index (IHI) for the preliminary investigations, if strong predictive correlations are established. Since rock indentation is the basic process in drilling and boring, numerous researchers2–16 have carried out indentation tests to understand the indentation phenomena or to develop prediction models for drilling or boring. Kahraman et al.15 also investigated the relationships between the slope of load-indentation curves and the rock properties. They found good correlations between the slope of load-indentation curves and the rock properties. Kahraman and Gunaydin17 investigated the sawability prediction of carbonate rocks from indentation hardness tests carried out by attaching a dial gauge to the point load apparatus for measuring penetration. They concluded that the indentation hardness test can be used for predicting the sawability of carbonate rocks. Recently, Yagiz18 suggested a new brittleness index and rock brittleness classification based on type, strength, and density of rock together with the results of punch penetration tests. A standard indentation test was recommended by ISRM1 and Equation [1] was suggested for the prediction of UCS from IHI

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Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

TL;DR: The high performance indices of the proposed model highlight the superiority of the PSO-based ANN model for UCS prediction, which is widely accepted that optimization algorithms such as particle swarm optimization can improve ANN performance.
Journal ArticleDOI

An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite

TL;DR: This study aims to present two predictive models of UCS and E for granite using an adaptive neuro-fuzzy inference system (ANFIS) and found that the ANFIS predictive model of UCS, with R2, RMSE and VAF equal to 0.2, outperforms the MRA and ANN models.
Journal Article

Correlation between unconfined compressive strength and indirect tensile strength of limestone rock samples

TL;DR: In this paper, a new strong correlation with coefficient of determination of 0.9 is introduced for predicting the unconfined compressive strength (UCS) of limestone core samples from its BTS.
Journal ArticleDOI

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

TL;DR: A new artificial neural network (ANN)-based model is developed to predict rock tensile strength, using the invasive weed optimization (IWO) technique, and showed that the IWO-ANN model is a suitable alternative solution for a robust and reliable engineering design.
Journal ArticleDOI

Predicting the uniaxial compressive strength of cemented paste backfill from ultrasonic pulse velocity test

TL;DR: In this paper, the predictability of the uniaxial compressive strength (UCS) of cemented paste backfill (CPB) prepared from three different tailings using ultrasonic pulse velocity (UPV) test was investigated.
References
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Empirical rock failure criteria

P. R. Sheorey
TL;DR: In this paper, a closed-form inter-relations between triaxial strength parameters, methods to derive an equation to Mohr's envelope, the influence of rock anisotropy, an anisotropic rock failure criterion, and three excavation case studies with complete details are presented.
Journal ArticleDOI

Assessment of brittleness using rock strength and density with punch penetration test

TL;DR: In this article, the authors proposed a direct method to measure rock brittleness as an index via punch penetration test, and also investigated the relationship between intact rock properties (uniaxial compressive strength, Brazilian tensile strength, and density of rock) and the measured from the test.
Journal ArticleDOI

Prediction of the penetration rate of rotary blast hole drills using a new drillability index

TL;DR: In this article, a new drillability index for the prediction of the penetration rates of rotary blast hole drill and the mechanical and physical properties of the rock formations was defined from force-indentation curves of indentation tests.
Journal Article

A set of indices based on indentation tests for assessment of rock cutting performance and rock properties

TL;DR: In this article, a simple interpretation method is developed, which quantifies the force- penetration response obtained from indentation tests, and validated by a set of full-scale linear cutting tests using a conical cutter for measuring the cutting performance in relieved and unrelieved conditions, i.e. cutter forces, specific energy, size distribution of rock cuttings.
Journal ArticleDOI

Indentation hardness testing of rock

TL;DR: In this paper, the authors used standardised indentation testing for characterisation of mechanical properties of rock and found that there is a relationship between the value of the indentation hardens index and the uniaxial compressive strength.
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