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Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC

Based on rate constant concept, empirical models were presented for the predictions of age-dependent development of compressive and split tensile strengths of geopolymer concrete composite (GPCC) with fly ash (FA) blended with ground granulated blast furnace slag (GGBFS). The models were empirically...

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Detalles Bibliográficos
Autores principales: Lee, Songhee, Shin, Sangmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947414/
https://www.ncbi.nlm.nih.gov/pubmed/31847257
http://dx.doi.org/10.3390/ma12244198
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author Lee, Songhee
Shin, Sangmin
author_facet Lee, Songhee
Shin, Sangmin
author_sort Lee, Songhee
collection PubMed
description Based on rate constant concept, empirical models were presented for the predictions of age-dependent development of compressive and split tensile strengths of geopolymer concrete composite (GPCC) with fly ash (FA) blended with ground granulated blast furnace slag (GGBFS). The models were empirically developed based on a total of 180 cylindrical test results of GPCC. Six different independent factors comprising of curing temperature, the weight ratios of GGBFS/binder, the aggregate/binder, the alkali solution/binder, the Na(2)SiO(3)/NaOH, and the NaOH concentration were considered as the variables. The ANOVA analyses performed on Taguchi orthogonal arrays with six factors in three levels showed that the curing temperature and ratio of GGBFS to binder were the main contributing factors to the development of compressive strength. The models, functionalized with these contributing factors and equivalent age, reflect the level of activation energy of GPCC similar to that of ordinary Portland cement concrete (OPC) and a higher frequency of molecular collisions during the curing period at elevated temperature. The model predictions for compressive and split tensile strength showed good agreements with tested results.
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spelling pubmed-69474142020-01-13 Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC Lee, Songhee Shin, Sangmin Materials (Basel) Article Based on rate constant concept, empirical models were presented for the predictions of age-dependent development of compressive and split tensile strengths of geopolymer concrete composite (GPCC) with fly ash (FA) blended with ground granulated blast furnace slag (GGBFS). The models were empirically developed based on a total of 180 cylindrical test results of GPCC. Six different independent factors comprising of curing temperature, the weight ratios of GGBFS/binder, the aggregate/binder, the alkali solution/binder, the Na(2)SiO(3)/NaOH, and the NaOH concentration were considered as the variables. The ANOVA analyses performed on Taguchi orthogonal arrays with six factors in three levels showed that the curing temperature and ratio of GGBFS to binder were the main contributing factors to the development of compressive strength. The models, functionalized with these contributing factors and equivalent age, reflect the level of activation energy of GPCC similar to that of ordinary Portland cement concrete (OPC) and a higher frequency of molecular collisions during the curing period at elevated temperature. The model predictions for compressive and split tensile strength showed good agreements with tested results. MDPI 2019-12-13 /pmc/articles/PMC6947414/ /pubmed/31847257 http://dx.doi.org/10.3390/ma12244198 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Songhee
Shin, Sangmin
Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC
title Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC
title_full Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC
title_fullStr Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC
title_full_unstemmed Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC
title_short Prediction on Compressive and Split Tensile Strengths of GGBFS/FA Based GPC
title_sort prediction on compressive and split tensile strengths of ggbfs/fa based gpc
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947414/
https://www.ncbi.nlm.nih.gov/pubmed/31847257
http://dx.doi.org/10.3390/ma12244198
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