Predicting Young’s modulus of Indian coal measure rock using multiple regression and artificial neutral network

• Autorzy: Chakraborty Sayantan , Bisai Rohan , Roy Rohit , Palaniappan Sathish Kumar , Pal Samir Kumar , Rao Karanam Uma Maheshwar

Identyfikatory

DOI

10.46873/2300-3960.1373

• Języki publikacji: EN

Abstrakty

EN

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 - 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.

Słowa kluczowe

EN

sandstone; shale; multiple regression; outlier analysis; artificial neural network

PL

piaskowiec; łupek ilasty; regresja wielokrotna; analiza odchyleń; sztuczna sieć neuronowa

• Wydawca: Elsevier ; Główny Instytut Górnictwa
• Czasopismo: Journal of Sustainable Mining
• Rocznik: 2023
• Tom: Vol. 22, iss. 1
• Strony: 41--54
• Opis fizyczny: Bibliogr. 39 poz.

Twórcy

autor

Chakraborty Sayantan

• Department of Mining Engineering, Indian Institute of Technology Kharagpur, India

• https://orcid.org/0000-0003-2131-1249

autor

Bisai Rohan

• Department of Civil Engineering, Techno Main Salt Lake, Kolkata, India

• https://orcid.org/0000-0001-8716-0725

autor

Roy Rohit

• Department of Mining Engineering, Indian Institute of Technology Kharagpur, India

• https://orcid.org/0000-0002-6567-1185

autor

Palaniappan Sathish Kumar

• Department of Mining Engineering, Indian Institute of Technology Kharagpur, India

• https://orcid.org/0000-0002-6799-9918

autor

Pal Samir Kumar

• Department of Mining Engineering, Indian Institute of Technology Kharagpur, India

• https://orcid.org/0000-0002-3140-6826

autor

Rao Karanam Uma Maheshwar

• National Institute of Technology Rourkela,India

• https://orcid.org/0000-0002-1022-5372

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).