Author ORCID Identifier
Sayantan Chakraborty: 0000-0003-2131-1249
Rohan Bisai: 0000-0001-8716-0725
Rohit Roy: 0000-0002-6567-1185
Sathish Kumar Palaniappan: 0000-0002-6799-9918
Samir Kumar Pal: 0000-0002-3140-6826
Karanam Uma Maheshwar Rao: 0000-0002-1022-5372
Accurate information on Young’s modulus (E) is required for simulating rock deformation in mines; on the other hand, it is very cumbersome to obtain in the laboratory and collecting drilled cores in sufficient amounts, especially in the case of soft rocks, is quite impossible. Empirical equations were deducted for E from easily determinable rock properties, and the final model was selected through different statistical strength parameter tests. The generalization of the equation was verified through the normal distribution tests of residues of the equation. R2 came to be 0.609 and was validated using an artificial neural network with an improved value of 0.73
Chakraborty, Sayantan; Bisai, Rohan; Roy, Rohit; Palaniappan, Sathish Kumar; Pal, Samir Kumar; and Rao, Karanam Uma Maheshwar
"Predicting Young’s modulus of Indian coal measure rock using multiple regression and artificial neutral network,"
Journal of Sustainable Mining: Vol. 22
, Article 4.
Available at: https://doi.org/10.46873/2300-3960.1373
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