Investigating the Accuracy of Specimen Shape for Point Load Index Test in Predicting the Uniaxial Compressive Strength for Rocks Using Regression Analysis and Machine Learning

Basit Öğe Kaydı
dc.authoridAkbay, Deniz / 0000-0002-7794-5278
dc.contributor.authorAkbay, Deniz
dc.date.accessioned2025-01-27T21:13:02Z
dc.date.available2025-01-27T21:13:02Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe strength of rocks and soil is a crucial design parameter in engineering projects, and it can be determined through various test methods such as uniaxial compressive strength, tensile strength, and shear strength. The point load index test is a popular indirect test method for predicting the uniaxial compressive strength of rocks. However, the reliability of the point load index's estimation of uniaxial compressive strength of rocks is questioned due to the wide range of coefficients that are used to predict uniaxial compressive strength of rocks using point load index values. Factors such as the shape and type of rock specimen, practitioner, and test apparatus used can affect the accuracy of the point load index test. This study investigated the effect of four different specimen shapes used in point load index test (diametral, axial, block, and irregular lump tests) in predicting the uniaxial compressive strength. The rock samples were tested using four test procedures which are called diametral, axial, block, and irregular lump tests. The results showed that the irregular lump test was the most accurate in predicting uniaxial compressive strength, with the highest correlation coefficients and lowest mean absolute percentage errors. The point load index test can be used as a reliable predictor of uniaxial compressive strength of rocks when the irregular lump test is preferred.
dc.identifier.doi10.1007/s42461-023-00865-4
dc.identifier.issn2524-3462
dc.identifier.issn2524-3470
dc.identifier.scopus2-s2.0-85174385788
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s42461-023-00865-4
dc.identifier.urihttps://hdl.handle.net/20.500.12428/28252
dc.identifier.wosWOS:001086372300002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofMining Metallurgy & Exploration
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectPoint load index
dc.subjectUniaxial compressive strength
dc.subjectSpecimen shape
dc.subjectRegression analysis
dc.subjectMachine learning
dc.titleInvestigating the Accuracy of Specimen Shape for Point Load Index Test in Predicting the Uniaxial Compressive Strength for Rocks Using Regression Analysis and Machine Learning
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Deniz Akbay_Makale.pdf
Boyut:
1.4 MB
Biçim:
Adobe Portable Document Format
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
Çan Meslek Yüksekokulu Koleksiyonu