Block punch index (BPI) test—a new consideration on validity and correlations for basalt and rhyolite rock types

Roghanchi, Pedram; Kallu, Raj R.

doi:10.1134/s1062739114030090

Cited by 8 publications

(1 citation statement)

References 7 publications

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“…More recently, Roghanchi and Kallu (2014) discussed the validation of failure mode for hard rocks (Basalt and Rhyolite) based on experimental and numerical approaches. The outcomes highlight the presence of secondary failure developed in the middle part of the specimen failed by block punching test.…”

Section: Block Punch Index (Bpi)mentioning

confidence: 99%

Anisotropic index strength behavior and failure mode validation of weathered shale

Abbas¹

2022

Preprint

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The failure mode limitations presented in the International Society for Rock Mechanics (ISRM) were recognised as an obvious issue by invalidating most of the failure modes along the bedding plane. In this study, the anisotropic behaviour of index strength and failure mode of weathered shale are evaluated by utilising the point load test (PLT) and the block punch index (BPI). The outcomes elaborate that the degree of anisotropy of PLT is four times the BPI degree of anisotropy. The failure mode of weathered shale is observed to be controlled by the bedding plane orientation (β). Particularly, when the point loading is not perpendicular to the bedding plane orientation, it is necessary to consider the inclined failure mode along bedding since eliminating these results may cause a significant over-prediction of index strength. Meanwhile, the presence of secondary failures along a bedding in weathered shale under BPI is because of the normal stress distribution. Consequently, the very low bonding between the bedding planes is not able to resist the tensile stresses developed at the specimen faces during punching. The study also highlighted the effect of the horizontal angle of bedding orientation (θ) with respect to the puncher.

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Section: Block Punch Index (Bpi)mentioning

confidence: 99%

Anisotropic index strength behavior and failure mode validation of weathered shale

Abbas¹

2022

Preprint

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Development of a new empirical model and adaptive neuro-fuzzy inference systems in predicting unconfined compressive strength of weathered granite grade III

Moosavi

Mohammadi

2021

Bull Eng Geol Environ

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The present paper has developed a new multivariate linear regression and adaptive neuro-fuzzy inference processing to predict UCS for weathered granite grade III based on simple input data from point load index, Schmidt rebound hardness, and P wave velocity. Data from 85 rock core samples of this granite type have been selected. By using multivariate regression analysis, three models with two independent variables and one model with three independent variables have been developed. Furthermore, another model has been obtained by using a neuro-fuzzy logic analysis. The root means square error, RMSE, coefficient of determination, R 2 , and the mean absolute percentage error, MAPE, were used as the evaluation criteria of the accuracy of the models. The results have indicated that the regression-based and neuro-fuzzy models are effective, but the accuracy of the neurofuzzy model is in good agreement with the realistic data from the direct test.

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A Comparison Among Some Non-linear Prediction Tools on Indirect Determination of Uniaxial Compressive Strength and Modulus of Elasticity of Basalt

Yesiloglu-Gultekin

Gökçeoğlu

2021

J Nondestruct Eval

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Block punch index (BPI) test—a new consideration on validity and correlations for basalt and rhyolite rock types

Cited by 8 publications

References 7 publications

Anisotropic index strength behavior and failure mode validation of weathered shale

Anisotropic index strength behavior and failure mode validation of weathered shale

Development of a new empirical model and adaptive neuro-fuzzy inference systems in predicting unconfined compressive strength of weathered granite grade III

A Comparison Among Some Non-linear Prediction Tools on Indirect Determination of Uniaxial Compressive Strength and Modulus of Elasticity of Basalt

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