Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing

Efficient load transmission between concrete and steel reinforcement by bonding action is a key factor in the process of the design procedure of bar-reinforced concrete structures. To enhance the bond strength of steel/concrete composites, the impact of graphene nanoplatelets (GnP) on the bond stres...

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Autores principales: Fouad Ismail Ismail, Yassir M. Abbas, Nasir Shafiq, Galal Fares, Montasir Osman, Lotfi A. Hussain, Mohammad Iqbal Khan
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:85af630a5e154c79922c9ae08830d7b42021-11-25T18:15:59ZInvestigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing10.3390/ma142270541996-1944https://doaj.org/article/85af630a5e154c79922c9ae08830d7b42021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/22/7054https://doaj.org/toc/1996-1944Efficient load transmission between concrete and steel reinforcement by bonding action is a key factor in the process of the design procedure of bar-reinforced concrete structures. To enhance the bond strength of steel/concrete composites, the impact of graphene nanoplatelets (GnP) on the bond stress and bond stress–slip response of deformed reinforcement bars, embedded in high-performance concrete (HPC), was investigated using bar pullout tests. In the current study, 36 samples were produced and examined. The main variables were the percentages of GnP, the steel reinforcement bar diameter, and embedded length. Bond behavior, failure mode, and bond stress-slip response were studied. Based on the experimental findings, the inclusion of GnP had a significant favorable influence on the bar-matrix interactions due to the bridging action of GnP as a nano reinforcement. For 0.02 wt.% of GnP, the bond strength was enhanced by more than 41.28% and 53.90% for steel bar diameters of 10 and 16 mm, respectively. The HPC-GnP mixture displayed a reduction in the initial slippage in comparison to the control sample. The test findings were compared to the prediction models created by other researchers and the ACI 408R-12 code.Fouad Ismail IsmailYassir M. AbbasNasir ShafiqGalal FaresMontasir OsmanLotfi A. HussainMohammad Iqbal KhanMDPI AGarticlegraphene nano plateletshigh-performance concretebond stressbond stress-slip behaviorpullout testfailure modeTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 7054, p 7054 (2021)
institution DOAJ
collection DOAJ
language EN
topic graphene nano platelets
high-performance concrete
bond stress
bond stress-slip behavior
pullout test
failure mode
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
spellingShingle graphene nano platelets
high-performance concrete
bond stress
bond stress-slip behavior
pullout test
failure mode
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Fouad Ismail Ismail
Yassir M. Abbas
Nasir Shafiq
Galal Fares
Montasir Osman
Lotfi A. Hussain
Mohammad Iqbal Khan
Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing
description Efficient load transmission between concrete and steel reinforcement by bonding action is a key factor in the process of the design procedure of bar-reinforced concrete structures. To enhance the bond strength of steel/concrete composites, the impact of graphene nanoplatelets (GnP) on the bond stress and bond stress–slip response of deformed reinforcement bars, embedded in high-performance concrete (HPC), was investigated using bar pullout tests. In the current study, 36 samples were produced and examined. The main variables were the percentages of GnP, the steel reinforcement bar diameter, and embedded length. Bond behavior, failure mode, and bond stress-slip response were studied. Based on the experimental findings, the inclusion of GnP had a significant favorable influence on the bar-matrix interactions due to the bridging action of GnP as a nano reinforcement. For 0.02 wt.% of GnP, the bond strength was enhanced by more than 41.28% and 53.90% for steel bar diameters of 10 and 16 mm, respectively. The HPC-GnP mixture displayed a reduction in the initial slippage in comparison to the control sample. The test findings were compared to the prediction models created by other researchers and the ACI 408R-12 code.
format article
author Fouad Ismail Ismail
Yassir M. Abbas
Nasir Shafiq
Galal Fares
Montasir Osman
Lotfi A. Hussain
Mohammad Iqbal Khan
author_facet Fouad Ismail Ismail
Yassir M. Abbas
Nasir Shafiq
Galal Fares
Montasir Osman
Lotfi A. Hussain
Mohammad Iqbal Khan
author_sort Fouad Ismail Ismail
title Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing
title_short Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing
title_full Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing
title_fullStr Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing
title_full_unstemmed Investigation of the Impact of Graphene Nanoplatelets (GnP) on the Bond Stress of High-Performance Concrete Using Pullout Testing
title_sort investigation of the impact of graphene nanoplatelets (gnp) on the bond stress of high-performance concrete using pullout testing
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/85af630a5e154c79922c9ae08830d7b4
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