Cargando…

Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment

The development of self-compacting alkali-activated concrete (SCAAC) has become a hot topic in the scientific community; however, most of the existing literature focuses on the utilization of fly ash (FA), ground blast furnace slag (GBFS), silica fume (SF), and rice husk ash (RHA) as the binder. In...

Descripción completa

Detalles Bibliográficos
Autores principales: Algaifi, Hassan Amer, Khan, Mohammad Iqbal, Shahidan, Shahiron, Fares, Galal, Abbas, Yassir M., Huseien, Ghasan Fahim, Salami, Babatunde Abiodun, Alabduljabbar, Hisham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540594/
https://www.ncbi.nlm.nih.gov/pubmed/34683800
http://dx.doi.org/10.3390/ma14206208
_version_ 1784589024949698560
author Algaifi, Hassan Amer
Khan, Mohammad Iqbal
Shahidan, Shahiron
Fares, Galal
Abbas, Yassir M.
Huseien, Ghasan Fahim
Salami, Babatunde Abiodun
Alabduljabbar, Hisham
author_facet Algaifi, Hassan Amer
Khan, Mohammad Iqbal
Shahidan, Shahiron
Fares, Galal
Abbas, Yassir M.
Huseien, Ghasan Fahim
Salami, Babatunde Abiodun
Alabduljabbar, Hisham
author_sort Algaifi, Hassan Amer
collection PubMed
description The development of self-compacting alkali-activated concrete (SCAAC) has become a hot topic in the scientific community; however, most of the existing literature focuses on the utilization of fly ash (FA), ground blast furnace slag (GBFS), silica fume (SF), and rice husk ash (RHA) as the binder. In this study, both the experimental and theoretical assessments using response surface methodology (RSM) were taken into account to optimize and predict the optimal content of ceramic waste powder (CWP) in GBFS-based self-compacting alkali-activated concrete, thus promoting the utilization of ceramic waste in construction engineering. Based on the suggested design array from the RSM model, experimental tests were first carried out to determine the optimum CWP content to achieve reasonable compressive, tensile, and flexural strengths in the SCAAC when exposed to ambient conditions, as well as to minimize its strength loss, weight loss, and UPVL upon exposure to acid attack. Based on the results, the optimum content of CWP that satisfied both the strength and durability aspects was 31%. In particular, a reasonable reduction in the compressive strength of 16% was recorded compared to that of the control specimen (without ceramic). Meanwhile, the compressive strength loss of SCAAC when exposed to acid attack minimized to 59.17%, which was lower than that of the control specimen (74.2%). Furthermore, the developed RSM models were found to be reliable and accurate, with minimum errors (RMSE < 1.337). In addition, a strong correlation (R > 0.99, R(2) < 0.99, adj. R(2) < 0.98) was observed between the predicted and actual data. Moreover, the significance of the models was also proven via ANOVA, in which p-values of less than 0.001 and high F-values were recorded for all equations.
format Online
Article
Text
id pubmed-8540594
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85405942021-10-24 Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment Algaifi, Hassan Amer Khan, Mohammad Iqbal Shahidan, Shahiron Fares, Galal Abbas, Yassir M. Huseien, Ghasan Fahim Salami, Babatunde Abiodun Alabduljabbar, Hisham Materials (Basel) Article The development of self-compacting alkali-activated concrete (SCAAC) has become a hot topic in the scientific community; however, most of the existing literature focuses on the utilization of fly ash (FA), ground blast furnace slag (GBFS), silica fume (SF), and rice husk ash (RHA) as the binder. In this study, both the experimental and theoretical assessments using response surface methodology (RSM) were taken into account to optimize and predict the optimal content of ceramic waste powder (CWP) in GBFS-based self-compacting alkali-activated concrete, thus promoting the utilization of ceramic waste in construction engineering. Based on the suggested design array from the RSM model, experimental tests were first carried out to determine the optimum CWP content to achieve reasonable compressive, tensile, and flexural strengths in the SCAAC when exposed to ambient conditions, as well as to minimize its strength loss, weight loss, and UPVL upon exposure to acid attack. Based on the results, the optimum content of CWP that satisfied both the strength and durability aspects was 31%. In particular, a reasonable reduction in the compressive strength of 16% was recorded compared to that of the control specimen (without ceramic). Meanwhile, the compressive strength loss of SCAAC when exposed to acid attack minimized to 59.17%, which was lower than that of the control specimen (74.2%). Furthermore, the developed RSM models were found to be reliable and accurate, with minimum errors (RMSE < 1.337). In addition, a strong correlation (R > 0.99, R(2) < 0.99, adj. R(2) < 0.98) was observed between the predicted and actual data. Moreover, the significance of the models was also proven via ANOVA, in which p-values of less than 0.001 and high F-values were recorded for all equations. MDPI 2021-10-19 /pmc/articles/PMC8540594/ /pubmed/34683800 http://dx.doi.org/10.3390/ma14206208 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Algaifi, Hassan Amer
Khan, Mohammad Iqbal
Shahidan, Shahiron
Fares, Galal
Abbas, Yassir M.
Huseien, Ghasan Fahim
Salami, Babatunde Abiodun
Alabduljabbar, Hisham
Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
title Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
title_full Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
title_fullStr Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
title_full_unstemmed Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
title_short Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
title_sort strength and acid resistance of ceramic-based self-compacting alkali-activated concrete: optimizing and predicting assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540594/
https://www.ncbi.nlm.nih.gov/pubmed/34683800
http://dx.doi.org/10.3390/ma14206208
work_keys_str_mv AT algaifihassanamer strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT khanmohammadiqbal strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT shahidanshahiron strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT faresgalal strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT abbasyassirm strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT huseienghasanfahim strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT salamibabatundeabiodun strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment
AT alabduljabbarhisham strengthandacidresistanceofceramicbasedselfcompactingalkaliactivatedconcreteoptimizingandpredictingassessment