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Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test

Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity... Although there are many proposed relations for different rock types to predict the uniaxial compressive strength (UCS) as a function of P-wave velocity (V P) and point load index (Is), only a few of them are focused on marlstones. However, these studies have limitations in applicability since they are mainly based on local studies. In this paper, an attempt is therefore made to present updated relations for two previous proposed correlations for marlstones in Iran. The modification process is executed through multivariate regression analysis techniques using a provided comprehensive database for marlstones in Iran, including UCS, V P and Is from publications and validated relevant sources comprising 119 datasets. The accuracy, appropriateness and applicability of the obtained modifications were tested by means of different statistical criteria and graph analyses. The conducted comparison between updated and previous proposed relations highlighted better applicability in the prediction of UCS using the updated correlations introduced in this study. However, the derived updated predictive models are dependent on rock types and test conditions, as they are in this study. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Innovative Infrastructure Solutions Springer Journals

Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test

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Publisher
Springer Journals
Copyright
Copyright © 2016 by Springer International Publishing Switzerland
Subject
Earth Sciences; Geotechnical Engineering & Applied Earth Sciences; Environmental Science and Engineering; Geoengineering, Foundations, Hydraulics
ISSN
2364-4176
eISSN
2364-4184
DOI
10.1007/s41062-016-0016-9
Publisher site
See Article on Publisher Site

Abstract

Although there are many proposed relations for different rock types to predict the uniaxial compressive strength (UCS) as a function of P-wave velocity (V P) and point load index (Is), only a few of them are focused on marlstones. However, these studies have limitations in applicability since they are mainly based on local studies. In this paper, an attempt is therefore made to present updated relations for two previous proposed correlations for marlstones in Iran. The modification process is executed through multivariate regression analysis techniques using a provided comprehensive database for marlstones in Iran, including UCS, V P and Is from publications and validated relevant sources comprising 119 datasets. The accuracy, appropriateness and applicability of the obtained modifications were tested by means of different statistical criteria and graph analyses. The conducted comparison between updated and previous proposed relations highlighted better applicability in the prediction of UCS using the updated correlations introduced in this study. However, the derived updated predictive models are dependent on rock types and test conditions, as they are in this study.

Journal

Innovative Infrastructure SolutionsSpringer Journals

Published: Jul 4, 2016

References