Effect of Rock Properties on Excavation-Loading Operation in Selected Quarries

Adebayo, B.; Aladejare, Adeyemi Emman

doi:10.4028/www.scientific.net/amr.824.86

Cited by 10 publications

(1 citation statement)

References 3 publications

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“…Physical and mechanical properties of intact rocks have been found useful in rock classification for engineering practice such as slope stabilization works, tunneling construction, design of mining support, mine design and foundation (Wang and Aladejare 2016a; Aladejare and Wang 2018;2019a). Physical and mechanical properties of rock are important in rock mechanics and mining engineering practice, as they also have effect on major mining operations during excavation and loading of rock fragments (Adebayo and Aladejare 2013). For example, uniaxial compressive strength and Young's modulus are used as inputs in rock mass classification and for estimation of rock mass properties (Bieniawski 1989;Aladejare and Wang 2019a), and tensile strength is an important parameter for determination of the load-bearing capacity of rocks, their deformation, damage and fracturing, drilling, and blasting (Coviello et al 2005;Dai et al 2013) among others.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the Petrographic and Physicomechanical Properties of Rocks from Otanmäki, Finland

Aladejare

2020

Geotech Geol Eng

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Intact rock properties are important for mining and geotechnical engineering because they are important design parameters for tunnels, rock foundations, rock slopes, among others. Some of the properties are also used as input parameters in some rock mass classification systems. Therefore, as rock properties are site-specific, there is need to investigate rock properties at a site especially when such site is used for engineering purpose. This paper documents the petrographic and X-ray fluorescence analyses, and physical and mechanical tests conducted to estimate the physical and mechanical properties of the two rock types (i.e. gabbro and granite) selected from quarries at Otanmäki, Finland. Mineral composition, grain size and chemical composition, water content, porosity, Brazilian tensile strength, uniaxial compressive strength, Young’s modulus, and Poisson ratio of the rock types were determined. Both gabbro and granite samples have fine to medium grained texture. The results of laboratory experiments conducted show that rock properties investigated have low to high variability. Simple and multiple regression analyses were performed and useful predictive models for estimating Brazilian tensile strength from physical test results were developed and validated.

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Section: Introductionmentioning

confidence: 99%

Characterization of the Petrographic and Physicomechanical Properties of Rocks from Otanmäki, Finland

Aladejare

2020

Geotech Geol Eng

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Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions

et al. 2021

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Empirical relationships for estimating Uniaxial Compressive Strength (UCS) of rock from other rock properties are numerous in literature. This is because the laboratory procedure for determination of UCS from compression tests is cumbersome, time consuming, and often considered expensive, especially for small to medium-sized mining engineering projects. However, these empirical models are scattered in literature, making it difficult to access a considerable number of them when there is need to select empirical model for estimation of UCS. This often leads to bias in estimated UCS data as there may be underestimation or overestimation of UCS, because of the site-specific nature of rock properties. Therefore, this study develops large database of empirical relationships between UCS and other rock properties that are reported in literatures. Statistical analysis was performed on the regression equations in the database developed. The typical ranges and mean of data used in developing the regressions, and the range and mean of their R2 values were evaluated and summarised. Most of the regression equations were found to be developed from reasonable quantity of data with moderate to high R2 values. The database can be easily assessed to select appropriate regression equation when there is need to estimate UCS for a specific site.

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Reliability of Monte Carlo simulation approach for estimating uniaxial compressive strength of intact rock

Aladejare,

Idowu,

Ozoji

2024

Earth Sci Inform

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The strength of rock has significant influence on its performance, and is, therefore, a key input during modelling and analysis of mining and geotechnical engineering structures. The uniaxial compressive strength (UCS), which is a popular parameter to quantifying rock strength can be determined in the laboratory using suggested method by International Society of Rock Mechanics (ISRM). However, the laboratory determination of UCS consumes time, it is costly, and sometimes may not be feasible to perform because of different conditions of rock. Hence, this study attempts to employ Monte Carlo simulation (MCS) approach to estimate UCS, and to overcome various uncertainties associated with UCS estimation. To use MCS approach for UCS estimation, block punch index (BPI), Brazilian tensile strength (BTS), point load index (IS(50)), and P-wave velocity (Vp) were selected as the model inputs. A multiple linear regression (MLR) equation was developed and used to predict UCS by the MCS approach. The methodology was applied to estimate UCS using real BPI, BTS, Is(50), and Vp data as inputs. The proposed approach simulated UCS values that are consistent with UCS values measured in the laboratory. The mean of the UCS values simulated through the MCS approach is 119.10 MPa, while the mean of the UCS values measured in the laboratory is 118.42 MPa. In addition, hypothesis testing revealed that the Brazilian tensile strength (BTS) is the parameter with the most influence on UCS of rock for the site investigated.

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Effect of Rock Properties on Excavation-Loading Operation in Selected Quarries

Cited by 10 publications

References 3 publications

Characterization of the Petrographic and Physicomechanical Properties of Rocks from Otanmäki, Finland

Characterization of the Petrographic and Physicomechanical Properties of Rocks from Otanmäki, Finland

Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions

Reliability of Monte Carlo simulation approach for estimating uniaxial compressive strength of intact rock

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