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Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion

In this study, immersion experiments were conducted on the geopolymer mortar (GPM) by using artificial seawater, and the effects of alkali equivalent (AE) and waterglass modulus (WGM) on the resistance of geopolymer mortar (GPM) to seawater immersion were analyzed. The test subjected 300 specimens t...

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Autores principales: Wu, Yingjie, Du, Kun, Wu, Chengqing, Tao, Ming, Zhao, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921804/
https://www.ncbi.nlm.nih.gov/pubmed/36770250
http://dx.doi.org/10.3390/ma16031244
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author Wu, Yingjie
Du, Kun
Wu, Chengqing
Tao, Ming
Zhao, Rui
author_facet Wu, Yingjie
Du, Kun
Wu, Chengqing
Tao, Ming
Zhao, Rui
author_sort Wu, Yingjie
collection PubMed
description In this study, immersion experiments were conducted on the geopolymer mortar (GPM) by using artificial seawater, and the effects of alkali equivalent (AE) and waterglass modulus (WGM) on the resistance of geopolymer mortar (GPM) to seawater immersion were analyzed. The test subjected 300 specimens to 270 days of artificial seawater immersion and periodic performance tests. Alkali equivalent (AE) (3–15%) and waterglass modulus (WGM) (1.0–1.8) were employed as influencing factors, and the mass loss and uniaxial compressive strength (UCS) were used as the performance evaluation indexes, combined with X-ray diffraction (XRD) and scanning electron microscopy (SEM) to analyze the time-varying pattern of geopolymer mortar (GPM) performance with seawater immersion. The findings demonstrated a general trend of initially growing and then declining in the uniaxial compression strength (UCS) of geopolymer mortar (GPM) under seawater immersion. The resistance of geopolymer mortar (GPM) to seawater immersion decreased with both higher or lower alkali equivalent (AE), and the ideal range of alkali equivalent (AE) was 9–12%. The diffusion layer of the bilayer structure of the waterglass particle became thinner with an increase in waterglass modulus (WGM), which ultimately led to the reduction in the resistance of the geopolymer structure to seawater immersion. Additionally, a support vector regression (SVR) model was developed based on the experimental data to predict the uniaxial compression strength (UCS) of GPM under seawater immersion. The model performed better and was able to achieve accurate prediction within 1–2 months, and provided an accurate approach to predicting the strength of geopolymer materials in a practical offshore construction project.
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spelling pubmed-99218042023-02-12 Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion Wu, Yingjie Du, Kun Wu, Chengqing Tao, Ming Zhao, Rui Materials (Basel) Article In this study, immersion experiments were conducted on the geopolymer mortar (GPM) by using artificial seawater, and the effects of alkali equivalent (AE) and waterglass modulus (WGM) on the resistance of geopolymer mortar (GPM) to seawater immersion were analyzed. The test subjected 300 specimens to 270 days of artificial seawater immersion and periodic performance tests. Alkali equivalent (AE) (3–15%) and waterglass modulus (WGM) (1.0–1.8) were employed as influencing factors, and the mass loss and uniaxial compressive strength (UCS) were used as the performance evaluation indexes, combined with X-ray diffraction (XRD) and scanning electron microscopy (SEM) to analyze the time-varying pattern of geopolymer mortar (GPM) performance with seawater immersion. The findings demonstrated a general trend of initially growing and then declining in the uniaxial compression strength (UCS) of geopolymer mortar (GPM) under seawater immersion. The resistance of geopolymer mortar (GPM) to seawater immersion decreased with both higher or lower alkali equivalent (AE), and the ideal range of alkali equivalent (AE) was 9–12%. The diffusion layer of the bilayer structure of the waterglass particle became thinner with an increase in waterglass modulus (WGM), which ultimately led to the reduction in the resistance of the geopolymer structure to seawater immersion. Additionally, a support vector regression (SVR) model was developed based on the experimental data to predict the uniaxial compression strength (UCS) of GPM under seawater immersion. The model performed better and was able to achieve accurate prediction within 1–2 months, and provided an accurate approach to predicting the strength of geopolymer materials in a practical offshore construction project. MDPI 2023-02-01 /pmc/articles/PMC9921804/ /pubmed/36770250 http://dx.doi.org/10.3390/ma16031244 Text en © 2023 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
Wu, Yingjie
Du, Kun
Wu, Chengqing
Tao, Ming
Zhao, Rui
Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion
title Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion
title_full Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion
title_fullStr Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion
title_full_unstemmed Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion
title_short Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion
title_sort time-varying pattern and prediction model for geopolymer mortar performance under seawater immersion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921804/
https://www.ncbi.nlm.nih.gov/pubmed/36770250
http://dx.doi.org/10.3390/ma16031244
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