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dc.contributor.authorKöken, Ekin
dc.contributor.authorKadakçı Koca, Tümay
dc.date.accessioned2023-09-14T11:39:15Z
dc.date.available2023-09-14T11:39:15Z
dc.date.issued2023en_US
dc.identifier.citationKoken Ekin,Kadakci Koca Tümay A comparative study to estimate the mode I fracture toughness of rocks using several soft computing techniques. Turkish Journal of Engineering 7, no.4 (2023): 296 - 305. 10.31127/tuje.1120669en_US
dc.identifier.issn2587-1366
dc.identifier.urifile:///C:/Users/Aidata/Downloads/document-51.pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12809/10960
dc.description.abstractFracture toughness is an important phenomenon to reveal the actual strength of fractured rock materials. It is, therefore, crucial to use the fracture toughness models principally for simulating the performance of fractured rock medium. In this study, the mode-I fracture toughness (KIC) was investigated using several soft computing techniques. For this purpose, an extensive literature survey was carried out to obtain a comprehensive database that includes simple and widely used mechanical rock parameters such as uniaxial compressive strength (UCS) and Brazilian tensile strength (BTS). Several soft computing techniques such as artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), gene expression programming (GEP), and multivariate adaptive regression spline (MARS) were attempted to reveal the availability of these methods to estimate the KIC. Among these techniques, it was determined that ANN presents the best prediction capability. The correlation of determination value (R2) for the proposed ANN model is 0.90, showing its relative success. In this manner, the present study can be declared a case study, indicating the applicability of several soft computing techniques for the evaluation of KIC. However, the number of samples for different rock types should be increased to improve the established predictive models in future studies.en_US
dc.item-language.isoengen_US
dc.publisherTurkish Journal of Engineeringen_US
dc.relation.isversionof10.31127/tuje.1120669en_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMode-I fracture toughnessen_US
dc.subjectUniaxial compressive strengthen_US
dc.subjectBrazilian tensile strengthen_US
dc.subjectSoft computing techniquesen_US
dc.titleA comparative study to estimate the mode I fracture toughness of rocks using several soft computing techniquesen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Mühendislik Fakültesi, Jeoloji Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0002-6705-9117en_US
dc.contributor.institutionauthorKadakçı Koca, Tümay
dc.identifier.volume7en_US
dc.identifier.issue4en_US
dc.identifier.startpage296en_US
dc.identifier.endpage305en_US
dc.relation.journalTurkish Journal of Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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