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Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction

There is a universally accepted view that environmental pollution should be controlled while improving cement mortar natural abilities. The purpose of this study is to develop a green cement mortar that has better compressive strength and anti-chloride ion permeability. Two industrial wastes, lithiu...

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Detalles Bibliográficos
Autores principales: Lu, Jianghu, Yu, Zhexuan, Zhu, Yuanzhe, Huang, Shaowen, Luo, Qi, Zhang, Siyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566977/
https://www.ncbi.nlm.nih.gov/pubmed/31117276
http://dx.doi.org/10.3390/ma12101652
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author Lu, Jianghu
Yu, Zhexuan
Zhu, Yuanzhe
Huang, Shaowen
Luo, Qi
Zhang, Siyu
author_facet Lu, Jianghu
Yu, Zhexuan
Zhu, Yuanzhe
Huang, Shaowen
Luo, Qi
Zhang, Siyu
author_sort Lu, Jianghu
collection PubMed
description There is a universally accepted view that environmental pollution should be controlled while improving cement mortar natural abilities. The purpose of this study is to develop a green cement mortar that has better compressive strength and anti-chloride ion permeability. Two industrial wastes, lithium-slag and slag, were added to cement mortar, and the role of lithium-slag was to activate slag. In addition, to save economic and time costs, this paper also used the least-squares support vector machine (LS-SVM) method to predict the property changes of cementitious-based materials. Then multiple natural abilities of samples, including compressive strength, anti-chloride ion permeability, and fluidity, were tested. In addition, LS-SVM and traditional support vector machine (SVM) were used to train and forecast the performance, including compressive strength. The results show that lithium-slag can activate slag to improve the compressive strength, anti-chloride ion permeability of mortar, and LS-SVM sharpens accuracy by 11% compared to SVM.
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spelling pubmed-65669772019-06-17 Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction Lu, Jianghu Yu, Zhexuan Zhu, Yuanzhe Huang, Shaowen Luo, Qi Zhang, Siyu Materials (Basel) Article There is a universally accepted view that environmental pollution should be controlled while improving cement mortar natural abilities. The purpose of this study is to develop a green cement mortar that has better compressive strength and anti-chloride ion permeability. Two industrial wastes, lithium-slag and slag, were added to cement mortar, and the role of lithium-slag was to activate slag. In addition, to save economic and time costs, this paper also used the least-squares support vector machine (LS-SVM) method to predict the property changes of cementitious-based materials. Then multiple natural abilities of samples, including compressive strength, anti-chloride ion permeability, and fluidity, were tested. In addition, LS-SVM and traditional support vector machine (SVM) were used to train and forecast the performance, including compressive strength. The results show that lithium-slag can activate slag to improve the compressive strength, anti-chloride ion permeability of mortar, and LS-SVM sharpens accuracy by 11% compared to SVM. MDPI 2019-05-21 /pmc/articles/PMC6566977/ /pubmed/31117276 http://dx.doi.org/10.3390/ma12101652 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
Lu, Jianghu
Yu, Zhexuan
Zhu, Yuanzhe
Huang, Shaowen
Luo, Qi
Zhang, Siyu
Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction
title Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction
title_full Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction
title_fullStr Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction
title_full_unstemmed Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction
title_short Effect of Lithium-Slag in the Performance of Slag Cement Mortar Based on Least-Squares Support Vector Machine Prediction
title_sort effect of lithium-slag in the performance of slag cement mortar based on least-squares support vector machine prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566977/
https://www.ncbi.nlm.nih.gov/pubmed/31117276
http://dx.doi.org/10.3390/ma12101652
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