HYFIS vs FMR, LWR and Least squares regression methods in estimating uniaxial compressive strength of evaporitic rocks.

Journal

Scientific reports

ISSN: 2045-2322

Titre abrégé: Sci Rep

Pays: England

ID NLM: 101563288

Informations de publication

Date de publication:
29 Aug 2023

Historique:

received: 31 03 2023

accepted: 24 08 2023

medline: 30 8 2023

pubmed: 30 8 2023

entrez: 29 8 2023

Statut: epublish

Résumé

The uniaxial compressive strength (UCS) of the rock is one of the most important design parameters in various engineering applications. Therefore, the UCS requires to be either preciously measured through extensive field and laboratory studies or could be estimated by employing machine learning techniques and several other measured physical and mechanical explanatory rock parameters. This study is proposed to estimate the UCS of the evaporitic rocks by using a simple, measured point load index (PLI) and Schmidt Hammer (SHV

Identifiants

DOI: 10.1038/s41598-023-41349-1 PMID: 37644208 PMC: PMC10465554

pubmed: 37644208

doi: 10.1038/s41598-023-41349-1

pii: 10.1038/s41598-023-41349-1

pmc: PMC10465554

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Pagination

14101

Subventions

Organisme : United Arab Emirates University, Research Affairs, National Water and Energy Center (NWEC)

ID : NWEC-4-2018-31R193

Informations de copyright

Références

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