Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1716
Title: Predicting Index-Mechanical Properties of Igneous Rock Using Electrical Resistivity Method
Authors: İnce, İsmail
Keywords: Electrical Resistivity
Index-Mechanical Properties
Regression Analysis
Prediction
Physicomechanical Properties
Sandstone
Recommendations
Classification
Nomenclature
Systematics
Evolution
Strength
Damage
Publisher: Springer Heidelberg
Abstract: The purpose of this study is to investigate the index-mechanical properties of igneous rocks by using electrical resistivity method. To this end, electrical resistivity, index (P-wave velocity, dry density, and porosity), and uniaxial compressive strength values of 48 different igneous rock samples (plutonic, volcanic, and pyroclastic) were measured in the laboratory. Simple regression analysis was performed between index-mechanical properties compatible with the values of electrical resistivity. A strong exponential correlation was obtained between the electrical resistivity and porosity values of the igneous rock samples used in this study. On the other hand, a strong logarithmic correlation was found between the electrical resistivity values and other index-mechanical properties. The electrical resistivity method can be used as a non-destructive method to assess the engineering properties of rocks where it is hard to get regular-shaped rock samples either from an outcrop or a historical building.
URI: https://doi.org/10.1007/s42461-022-00554-8
https://hdl.handle.net/20.500.13091/1716
ISSN: 2524-3462
2524-3470
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Files in This Item:
File SizeFormat 
s42461-022-00554-8.pdf
  Until 2030-01-01
3.79 MBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

WEB OF SCIENCETM
Citations

4
checked on Apr 27, 2024

Page view(s)

164
checked on Apr 29, 2024

Download(s)

6
checked on Apr 29, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.