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Estimating the uniaxial compressive strength of rocks with

·The Schmidt hammer is commonly used for the prediction of unconfined compressive strength and other mechanical properties of rocks from surface rebound hardness values since it is quick easy inexpensive and non destructive testing method In this study metamorphic sedimentary and igneous rock samples were collected from various locations in


Estimating the Unconfined Compressive Strength of Vesicular Basalts

·ABSTRACT ABSTRACT Understanding and predicting the intact strength of rock is very important in design of foundations tunnels and in other engineering projects The presence of vesicles within basalt has a direct impact on the unconfined compressive strength UCS of the intact rock Over 130 basalt samples from foundation projects for a large liquid


High temperature behaviour of basalts—role of temperature

·The strength weakening only due to thermal damage does not appear in the samples deformed below 600 Ductile mechanisms inhibit the brittleness of the rock; ii a sharp fall of the compressive strength between 750 and 900 430 MPa at 750 lO0 MPa at 900 ; iii a very low compressive strength 50 MPa of the partially melted rock at 1000


Prediction of uniaxial compressive strength of rock based on

·Uniaxial compressive strength UCS of rock is an essential parameter in geotechnical engineering Point load strength PLS P wave velocity and Schmidt hammer rebound number SH are more easily obtained than UCS and are extensively applied for the indirect estimation of UCS This study collected 1080 datasets consisting of SH P wave


Correlation of Schmidt hardness with unconfined compressive strength

·The Schmidt hammer was originally developed for measuring the strength of hardened concrete Schmidt 1951 but it can also be correlated with rock compressive strength according to Miller 1965 Barton and Choubey 1977 The device consists of a spring loaded steel mass that is automatically released against a plunger when the hammer is pressed


Prediction of shear strength parameters of soils using

·Canakci et al 2009 applied neural networks and gene expression programming to predict both compressive and tensile strength of Gaziantep basalts Baykasoglu et al 2008 used genetic programming for prediction of compressive and tensile strength of Gaziantep limestone In this research both friction angle φ and cohesion C have been


Empirical Estimation of Uniaxial Compressive

·Volcanic rocks from the Bodrum Peninsula have been studied to establish a relationship between the uniaxial compressive strength UCS Young s modulus E and Schmidt hammer rebound number N Test results obtained on andesites basalts and tuffs have been assessed statistically and the parameters obtained correlated Regression equations were


Correlation between Schmidt hardness uniaxial compressive strength

Volcanic rocks from the Bodrum Peninsula have been studied to establish a relationship between the uniaxial compressive strength UCS Young s modulus E and Schmidt hammer rebound number N


THE EFFECT OF POROSITY ON ENGINEERING PROPERTIES

·It is observed that a good level of correlation is obtained for uniaxial compressive strength UCS elastic modulus E and Poisson s ratio in vesicular basalts when porosity >8 10%


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