Experimental and Analytical Investigation of Chemical Anchors's Behaviour Under Axial Tensile

dc.contributor.author Müsevitoğlu, Abdullah
dc.contributor.author Arslan, Musa Hakan
dc.contributor.author Aksoylu, Ceyhun
dc.contributor.author Özkış, Ahmet
dc.date.accessioned 2021-12-13T10:34:35Z
dc.date.available 2021-12-13T10:34:35Z
dc.date.issued 2020
dc.description.abstract In this study, to observe the behavior of chemical anchors embedded in concrete under the tensile effect, 108 different anchor specimens were prepared with different parameters as concrete compressive strength, reinforcement bar diameters, anchor depths, sizes of drilled holes, cleanliness of the drilled holes. Pull-out tests were conducted and obtained data were examined with the axial-load capacities and the failure situations. Finally, the depth of anchors, compressive strength and reinforcement diameter were observed to increase the axial-load-bearing capacity. The specimens cleaned with water could bear more axial loads than cleaned using air. For the anchors installed without cleaning the holes, a significant decrease was observed in the axial-load carrying capacities compared to the other two conditions. The ANN algorithm exhibited a 78.3% prediction success compared with other algorithms. The empirical relations in the literature were found to have limited level of prediction success rates according to the ANN's results. (C) 2020 Elsevier Ltd. All rights reserved. en_US
dc.description.sponsorship Scientific Research Coordination of Konya Technical University [1820122] en_US
dc.description.sponsorship This study was supported by the Scientific Research Coordination of Konya Technical University with project number 1820122. en_US
dc.identifier.doi 10.1016/j.measurement.2020.107689
dc.identifier.issn 0263-2241
dc.identifier.issn 1873-412X
dc.identifier.scopus 2-s2.0-85082140103
dc.identifier.uri https://doi.org/10.1016/j.measurement.2020.107689
dc.identifier.uri https://hdl.handle.net/20.500.13091/1016
dc.language.iso en en_US
dc.publisher ELSEVIER SCI LTD en_US
dc.relation.ispartof MEASUREMENT en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Adherence en_US
dc.subject Pull-Out Tests en_US
dc.subject Experimental Setup en_US
dc.subject Chemical Anchorage en_US
dc.subject Artificial Intelligence en_US
dc.subject Damage Prediction en_US
dc.subject Adhesive Anchors en_US
dc.subject Pull-Out en_US
dc.subject Concrete en_US
dc.subject Strength en_US
dc.subject Capacity en_US
dc.subject Earthquake en_US
dc.subject Machine en_US
dc.subject Design en_US
dc.subject Model en_US
dc.title Experimental and Analytical Investigation of Chemical Anchors's Behaviour Under Axial Tensile en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id AKSOYLU, Ceyhun/0000-0002-1574-4251
gdc.author.scopusid 57215858786
gdc.author.scopusid 11940766700
gdc.author.scopusid 57193686945
gdc.author.scopusid 57193771340
gdc.author.wosid AKSOYLU, Ceyhun/AAQ-1447-2020
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 107689
gdc.description.volume 158 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3009853317
gdc.identifier.wos WOS:000524745700031
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 11.0
gdc.oaire.influence 3.4176584E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Experimental Setup
gdc.oaire.keywords Damage Prediction
gdc.oaire.keywords Earthquake
gdc.oaire.keywords Design
gdc.oaire.keywords Capacity
gdc.oaire.keywords Adhesive Anchors
gdc.oaire.keywords Machine
gdc.oaire.keywords Pull-Out Tests
gdc.oaire.keywords Chemical Anchorage
gdc.oaire.keywords Pull-Out
gdc.oaire.keywords Adherence
gdc.oaire.keywords Artificial Intelligence
gdc.oaire.keywords Strength
gdc.oaire.keywords Pull-out Tests
gdc.oaire.keywords Concrete
gdc.oaire.keywords Model
gdc.oaire.popularity 1.0185182E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0201 civil engineering
gdc.openalex.collaboration National
gdc.openalex.fwci 2.07396698
gdc.openalex.normalizedpercentile 0.84
gdc.opencitations.count 13
gdc.plumx.crossrefcites 14
gdc.plumx.mendeley 34
gdc.plumx.scopuscites 18
gdc.scopus.citedcount 18
gdc.virtual.author Arslan, Musa Hakan
gdc.virtual.author Aksoylu, Ceyhun
gdc.wos.citedcount 14
relation.isAuthorOfPublication 8f79018a-d4d5-4699-981e-4b84dc964c82
relation.isAuthorOfPublication 4b513eb3-773f-45ba-a4bd-ac58f11c9614
relation.isAuthorOfPublication.latestForDiscovery 8f79018a-d4d5-4699-981e-4b84dc964c82

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