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An empirical classification method for South Pars marls by Schmidt hammer rebound index

The presented article provides an experimental classification for South Pars marls (SPM), southwest of Iran, using the Schmidt hammer rebound index, marl geological classes, and SPM geo-engineering characteristics. In this regard, 45 samples of marls (rock) are selected on the studied site and teste...

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Autores principales: Azarafza, Mohammad, Ghazifard, Akbar, Asasi, Fariba, Rahnamarad, Jafar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374391/
https://www.ncbi.nlm.nih.gov/pubmed/34430263
http://dx.doi.org/10.1016/j.mex.2021.101366
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author Azarafza, Mohammad
Ghazifard, Akbar
Asasi, Fariba
Rahnamarad, Jafar
author_facet Azarafza, Mohammad
Ghazifard, Akbar
Asasi, Fariba
Rahnamarad, Jafar
author_sort Azarafza, Mohammad
collection PubMed
description The presented article provides an experimental classification for South Pars marls (SPM), southwest of Iran, using the Schmidt hammer rebound index, marl geological classes, and SPM geo-engineering characteristics. In this regard, 45 samples of marls (rock) are selected on the studied site and tested by geotechnical in-situ and laboratory tests such as Schmidt hammer, uniaxial compressive strength (UCS), laboratory direct-shear (LDS) to estimate the geo-engineering characteristics of SPM. These specimens are categorised by Pettijohn's marl classification in 3 main groups (concluded argillaceous lime, calcareous marl, and marlstone) and established the geologic class and geo-engineering properties as well as Schmidt hammer rebound index. In the meantime, the geologic classes and the Schmidt index show the logic classification. Thus, this work attempted to prepare the experimental classification based on Pettijohn's marl classification and Schmidt rebound index for SPM. According to geotechnical experiments results, the Schmidt index shows 3 main group variations like Pettijohn's marl classification. • This method can be used to prepare the geologic status based on the Schmidt rebound index. • This method can be useful for detailed decryption of geo-engineering characteristics of different type of marls in the studied area. • This method can be used as a quick link for marl geologic status and geo-engineering features.
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spelling pubmed-83743912021-08-23 An empirical classification method for South Pars marls by Schmidt hammer rebound index Azarafza, Mohammad Ghazifard, Akbar Asasi, Fariba Rahnamarad, Jafar MethodsX Method Article The presented article provides an experimental classification for South Pars marls (SPM), southwest of Iran, using the Schmidt hammer rebound index, marl geological classes, and SPM geo-engineering characteristics. In this regard, 45 samples of marls (rock) are selected on the studied site and tested by geotechnical in-situ and laboratory tests such as Schmidt hammer, uniaxial compressive strength (UCS), laboratory direct-shear (LDS) to estimate the geo-engineering characteristics of SPM. These specimens are categorised by Pettijohn's marl classification in 3 main groups (concluded argillaceous lime, calcareous marl, and marlstone) and established the geologic class and geo-engineering properties as well as Schmidt hammer rebound index. In the meantime, the geologic classes and the Schmidt index show the logic classification. Thus, this work attempted to prepare the experimental classification based on Pettijohn's marl classification and Schmidt rebound index for SPM. According to geotechnical experiments results, the Schmidt index shows 3 main group variations like Pettijohn's marl classification. • This method can be used to prepare the geologic status based on the Schmidt rebound index. • This method can be useful for detailed decryption of geo-engineering characteristics of different type of marls in the studied area. • This method can be used as a quick link for marl geologic status and geo-engineering features. Elsevier 2021-04-27 /pmc/articles/PMC8374391/ /pubmed/34430263 http://dx.doi.org/10.1016/j.mex.2021.101366 Text en © 2021 Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Azarafza, Mohammad
Ghazifard, Akbar
Asasi, Fariba
Rahnamarad, Jafar
An empirical classification method for South Pars marls by Schmidt hammer rebound index
title An empirical classification method for South Pars marls by Schmidt hammer rebound index
title_full An empirical classification method for South Pars marls by Schmidt hammer rebound index
title_fullStr An empirical classification method for South Pars marls by Schmidt hammer rebound index
title_full_unstemmed An empirical classification method for South Pars marls by Schmidt hammer rebound index
title_short An empirical classification method for South Pars marls by Schmidt hammer rebound index
title_sort empirical classification method for south pars marls by schmidt hammer rebound index
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374391/
https://www.ncbi.nlm.nih.gov/pubmed/34430263
http://dx.doi.org/10.1016/j.mex.2021.101366
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