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

Author:

Abbaszadeh Shahri Abbas,Larsson Stefan,Johansson Fredrik

Abstract

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.

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering,Environmental Engineering,Engineering (miscellaneous)

Reference49 articles.

1. Abbaszadeh Shahri A (2010) Identification and estimation of nonlinear site effect characteristics in sedimentary basin subjected to earthquake excitations. Ph.D dissertation, Department of Geophysics, Science and research branch, Islamic Azad University, Tehran, Iran

2. Abbaszadeh Shahri A, Larsson S, Johansson F (2015) CPT-SPT correlations using artificial neural network approach—a case study in Sweden. Electron J Geotech Eng (EJGE), 20 (Bund. 28): 13439–13460

3. Abbaszadeh Shahri A (2016) An optimized artificial neural network structure to predict clay sensitivity in a high landslide prone area using piezocone penetration test (CPTu) data: a case study in southwest of Sweden. Geotech Geol Eng 34(2):745–758. doi:10.1007/s10706-016-9976-y

4. Alber M, Heiland J (2001) Investigation of a limestone pillar failure: part 1; geology, laboratory testing and numerical modeling. Rock Mech Rock Eng 34(3):167–186

5. Akram M, Bakar MZA (2007) Correlation between uniaxial compressive strength and point load index for salt-range rocks. Pak J Engg Appl Sci 1:1–8

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3