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Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods

The objective of this study was to evaluate the effect of graphene nanoplatelets (GnP) on the mechanical properties of concrete as well as the flexural performance of reinforced concrete (GnP-RC) beams. In the experimental campaign, several dosages of GnP (0.00, 0.02, 0.05, 0.10, 0.30, and 0.50 wt o...

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Main Authors: Ismail, F.I., Shafiq, N., Abbas, Y.M., Bheel, N., Benjeddou, O., Ahmed, M., Sabri, M.M., Ateya, E.S.
Format: Article
Published: 2022
Online Access:http://scholars.utp.edu.my/id/eprint/34038/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141922974&doi=10.1016%2fj.cscm.2022.e01676&partnerID=40&md5=2ba73a1cc87017845fe8de08adb77abe
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spelling oai:scholars.utp.edu.my:340382022-12-28T07:54:05Z http://scholars.utp.edu.my/id/eprint/34038/ Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods Ismail, F.I. Shafiq, N. Abbas, Y.M. Bheel, N. Benjeddou, O. Ahmed, M. Sabri, M.M. Ateya, E.S. The objective of this study was to evaluate the effect of graphene nanoplatelets (GnP) on the mechanical properties of concrete as well as the flexural performance of reinforced concrete (GnP-RC) beams. In the experimental campaign, several dosages of GnP (0.00, 0.02, 0.05, 0.10, 0.30, and 0.50 wt of cement) were included in the concrete mixtures. First, the mechanical properties of concrete (compressive, tensile, flexural, and modulus of elasticity) were studied. A further experimental investigation was conducted on the flexural behavior of GnP-RC beams. The failure mode of beams, crack patterns, moment-curvature relationship, and ductility properties are reported. According to the observed results, GnP addition is capable of significantly improving mechanical properties. By adding 0.02 of GnP, both the compressive and tensile strengths were improved by 20.82 and 30.05, respectively. Additionally, 0.02 of GnP also enhanced the cracking, yielding, and ultimate loads of beams by 36, 23, and 15, respectively. Further, for the same concentration of GnP, the energy absorption and post-cracking ductility were improved by 25 and 20, respectively. This report also presents analytical and statistical models for predicting the ultimate moment capacity of RC beams containing nano-reinforcement materials. The models have been demonstrated to be accurate at predicting the present and independent data. © 2022 The Authors 2022 Article NonPeerReviewed Ismail, F.I. and Shafiq, N. and Abbas, Y.M. and Bheel, N. and Benjeddou, O. and Ahmed, M. and Sabri, M.M. and Ateya, E.S. (2022) Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods. Case Studies in Construction Materials, 17. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141922974&doi=10.1016%2fj.cscm.2022.e01676&partnerID=40&md5=2ba73a1cc87017845fe8de08adb77abe 10.1016/j.cscm.2022.e01676 10.1016/j.cscm.2022.e01676 10.1016/j.cscm.2022.e01676
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The objective of this study was to evaluate the effect of graphene nanoplatelets (GnP) on the mechanical properties of concrete as well as the flexural performance of reinforced concrete (GnP-RC) beams. In the experimental campaign, several dosages of GnP (0.00, 0.02, 0.05, 0.10, 0.30, and 0.50 wt of cement) were included in the concrete mixtures. First, the mechanical properties of concrete (compressive, tensile, flexural, and modulus of elasticity) were studied. A further experimental investigation was conducted on the flexural behavior of GnP-RC beams. The failure mode of beams, crack patterns, moment-curvature relationship, and ductility properties are reported. According to the observed results, GnP addition is capable of significantly improving mechanical properties. By adding 0.02 of GnP, both the compressive and tensile strengths were improved by 20.82 and 30.05, respectively. Additionally, 0.02 of GnP also enhanced the cracking, yielding, and ultimate loads of beams by 36, 23, and 15, respectively. Further, for the same concentration of GnP, the energy absorption and post-cracking ductility were improved by 25 and 20, respectively. This report also presents analytical and statistical models for predicting the ultimate moment capacity of RC beams containing nano-reinforcement materials. The models have been demonstrated to be accurate at predicting the present and independent data. © 2022 The Authors
format Article
author Ismail, F.I.
Shafiq, N.
Abbas, Y.M.
Bheel, N.
Benjeddou, O.
Ahmed, M.
Sabri, M.M.
Ateya, E.S.
spellingShingle Ismail, F.I.
Shafiq, N.
Abbas, Y.M.
Bheel, N.
Benjeddou, O.
Ahmed, M.
Sabri, M.M.
Ateya, E.S.
Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
author_facet Ismail, F.I.
Shafiq, N.
Abbas, Y.M.
Bheel, N.
Benjeddou, O.
Ahmed, M.
Sabri, M.M.
Ateya, E.S.
author_sort Ismail, F.I.
title Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
title_short Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
title_full Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
title_fullStr Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
title_full_unstemmed Behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
title_sort behavioral assessment of graphene nanoplatelets reinforced concrete beams by experimental, statistical, and analytical methods
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/34038/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141922974&doi=10.1016%2fj.cscm.2022.e01676&partnerID=40&md5=2ba73a1cc87017845fe8de08adb77abe
_version_ 1753790787415441408
score 13.211869

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