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Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM

The compressive strength, shrinkage, elasticity, and electrical resistivity of the cement-soil pastes (slag, fly ash) of self-healing of cementitious concrete have been studied while adding hydrogels with nano silica (NSi) in this research. Defining the hydraulic and mechanical properties of these m...

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Autores principales: Liu, Qi, Peng, Kang, Zandi, Yousef, Agdas, Alireza Sadighi, Al-Tamimi, Haneen M., Assilzadeh, Hamid, Khalek Ebid, Ahmed Abdel, Khadimallah, Mohamed Amine, Ali, H. Elhosiny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315745/
https://www.ncbi.nlm.nih.gov/pubmed/35877540
http://dx.doi.org/10.3390/gels8070455
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author Liu, Qi
Peng, Kang
Zandi, Yousef
Agdas, Alireza Sadighi
Al-Tamimi, Haneen M.
Assilzadeh, Hamid
Khalek Ebid, Ahmed Abdel
Khadimallah, Mohamed Amine
Ali, H. Elhosiny
author_facet Liu, Qi
Peng, Kang
Zandi, Yousef
Agdas, Alireza Sadighi
Al-Tamimi, Haneen M.
Assilzadeh, Hamid
Khalek Ebid, Ahmed Abdel
Khadimallah, Mohamed Amine
Ali, H. Elhosiny
author_sort Liu, Qi
collection PubMed
description The compressive strength, shrinkage, elasticity, and electrical resistivity of the cement-soil pastes (slag, fly ash) of self-healing of cementitious concrete have been studied while adding hydrogels with nano silica (NSi) in this research. Defining the hydraulic and mechanical properties of these materials requires improvement to motivate more uptake for new buildings. Initially, examining the impact of different synthesized hydrogels on cement-soil pastes showed that solid particles in the mixtures highly affected the absorption capacity of NSi, representing the importance of direct interactions between solid particles and hydrogels in a cementitious matrix. All test results were analyzed by use of a hybridized soft computing model such as the adaptive neuro fuzzy inference system (ANFIS) and support vector regression (SVR) for precise studying and the avoidance of few empirical tests or error percentages. Subsequently, the best RMSE of ANFIS is 0.6568 and the best RMSE of SVM is 1.2564; the RMSE of ANFIS-SVM (0.5643) in the test phase is also close to zero, showing a better performance in hypothesizing self-healing soil-cementitious hydrogel materials in mine backfill. The R2 value for ANFIS-SVM is 0.9547, proving that it is a proper model for predicting the study’s goal. Electrical resistivity and compressive strength declined in the cement-soil pastes including hydrogels according to experimental outcomes; it was lowered by the increase of NSi concentration in the hydrogel. There was a decrement in the autogenous shrinkage of cement-soil pastes while adding hydrogel, depending on the NSi concentration in the hydrogels. The findings of this research are pivotal for the internal curing of cementitious materials to define the absorption of hydrogels.
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spelling pubmed-93157452022-07-27 Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM Liu, Qi Peng, Kang Zandi, Yousef Agdas, Alireza Sadighi Al-Tamimi, Haneen M. Assilzadeh, Hamid Khalek Ebid, Ahmed Abdel Khadimallah, Mohamed Amine Ali, H. Elhosiny Gels Article The compressive strength, shrinkage, elasticity, and electrical resistivity of the cement-soil pastes (slag, fly ash) of self-healing of cementitious concrete have been studied while adding hydrogels with nano silica (NSi) in this research. Defining the hydraulic and mechanical properties of these materials requires improvement to motivate more uptake for new buildings. Initially, examining the impact of different synthesized hydrogels on cement-soil pastes showed that solid particles in the mixtures highly affected the absorption capacity of NSi, representing the importance of direct interactions between solid particles and hydrogels in a cementitious matrix. All test results were analyzed by use of a hybridized soft computing model such as the adaptive neuro fuzzy inference system (ANFIS) and support vector regression (SVR) for precise studying and the avoidance of few empirical tests or error percentages. Subsequently, the best RMSE of ANFIS is 0.6568 and the best RMSE of SVM is 1.2564; the RMSE of ANFIS-SVM (0.5643) in the test phase is also close to zero, showing a better performance in hypothesizing self-healing soil-cementitious hydrogel materials in mine backfill. The R2 value for ANFIS-SVM is 0.9547, proving that it is a proper model for predicting the study’s goal. Electrical resistivity and compressive strength declined in the cement-soil pastes including hydrogels according to experimental outcomes; it was lowered by the increase of NSi concentration in the hydrogel. There was a decrement in the autogenous shrinkage of cement-soil pastes while adding hydrogel, depending on the NSi concentration in the hydrogels. The findings of this research are pivotal for the internal curing of cementitious materials to define the absorption of hydrogels. MDPI 2022-07-21 /pmc/articles/PMC9315745/ /pubmed/35877540 http://dx.doi.org/10.3390/gels8070455 Text en © 2022 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
Liu, Qi
Peng, Kang
Zandi, Yousef
Agdas, Alireza Sadighi
Al-Tamimi, Haneen M.
Assilzadeh, Hamid
Khalek Ebid, Ahmed Abdel
Khadimallah, Mohamed Amine
Ali, H. Elhosiny
Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM
title Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM
title_full Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM
title_fullStr Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM
title_full_unstemmed Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM
title_short Mechanical Characteristics and Self-Healing Soil-Cementitious Hydrogel Materials in Mine Backfill Using Hybridized ANFIS-SVM
title_sort mechanical characteristics and self-healing soil-cementitious hydrogel materials in mine backfill using hybridized anfis-svm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315745/
https://www.ncbi.nlm.nih.gov/pubmed/35877540
http://dx.doi.org/10.3390/gels8070455
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