A Probability-Based Evaluation on Andesites for Their Use as Cladding Stone

dc.contributor.author Köken, E.
dc.contributor.author Tuncay, Ebru Başpınar
dc.date.accessioned 2025-09-25T10:39:23Z
dc.date.available 2025-09-25T10:39:23Z
dc.date.issued 2022
dc.description.abstract Andesites with a satisfactory quality have been mainly considered as dimension stones worldwide. However, practical approaches are required to evaluate the dimension stone quality due to the increasing demand for natural resources. This study presents detailed laboratory investigations on andesitic rocks in NE Uşak, Turkey. For laboratory studies, representative rock blocks are obtained from unweathered (W0) to highly weathered (W3) rock masses. Laboratory test results demonstrate that progressive rock weathering has remarkable influences on the dry density (ρd), effective porosity (ne), pulse wave velocity (Vp), uniaxial compressive strength (UCS), flexural strength (FS), and Böhme abrasion value (AWR) of the andesitic rocks. Of the above parameters, ne seems to be the most affected rock property due to progressive rock weathering. Furthermore, based on the three-parameter Weibull distribution, andesitic rocks are evaluated for their use as cladding stones. A quantitative approach called the suitability index (SI) is proposed to quantify the quality of cladding stones for andesitic rocks, considering six different evaluation criteria (C1–C6). Two examples of SI calculations reveal the implementation of the proposed approach. The suitability of the proposed approach is also checked by Monte Carlo analysis, showing that the use of SI is suitable to quantify the cladding stone quality for the investigated andesitic rocks. However, the proposed approach should be improved by incorporating the mineralogical and textural characteristics into the SI calculations. Moreover, it should also be attempted to different andesitic rocks in order to observe the similarities or difficulties of quantifying the quality of cladding stones. © 2022 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.22044/jme.2022.11447.2130
dc.identifier.issn 2251-8606
dc.identifier.issn 2251-8592
dc.identifier.scopus 2-s2.0-85129021908
dc.identifier.uri https://doi.org/10.22044/jme.2022.11447.2130
dc.identifier.uri https://hdl.handle.net/20.500.12573/3134
dc.language.iso en en_US
dc.publisher Shahrood University of Technology en_US
dc.relation.ispartof Journal of Mining and Environment en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Andesite en_US
dc.subject Cladding Stone en_US
dc.subject Rock Weathering en_US
dc.subject Weibull Distribution en_US
dc.title A Probability-Based Evaluation on Andesites for Their Use as Cladding Stone en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 57193992490
gdc.author.scopusid 57192206173
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Köken] E., Department of Nanotechnology Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey; [Tuncay] Ebru Başpınar, Geological Engineering Department, Süleyman Demirel Üniversitesi, Isparta, Turkey en_US
gdc.description.endpage 13 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 1 en_US
gdc.description.volume 13 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W7131840498
gdc.index.type Scopus
gdc.oaire.diamondjournal false
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gdc.oaire.influence 2.5086964E-9
gdc.oaire.isgreen false
gdc.oaire.keywords 550
gdc.oaire.popularity 3.8334167E-9
gdc.oaire.publicfunded false
gdc.openalex.fwci 0.88
gdc.openalex.normalizedpercentile 0.71
gdc.opencitations.count 3
gdc.plumx.mendeley 6
gdc.plumx.scopuscites 3
gdc.scopus.citedcount 3
relation.isAuthorOfPublication.latestForDiscovery 9352c019-c944-4e23-a8e2-c73fac861cb6
relation.isOrgUnitOfPublication.latestForDiscovery 665d3039-05f8-4a25-9a3c-b9550bffecef

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