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Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0001-9615-4861
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0002-8152-6092
2016 (English)In: INNOVATIVE INFRASTRUCTURE SOLUTIONS, ISSN 2364-4176, Vol. 1, no 1, article id UNSP 17Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2016. Vol. 1, no 1, article id UNSP 17
Keywords [en]
Updated models, Model performance, Marlstone, Prediction
National Category
Applied Mechanics Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:kth:diva-214914DOI: 10.1007/s41062-016-0016-9ISI: 000409244300017OAI: oai:DiVA.org:kth-214914DiVA, id: diva2:1144407
Note

QC 2017-09-26

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-09-26Bibliographically approved

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Abbaszadeh Shahri, AbbasLarsson, StefanJohansson, Fredrik

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