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Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method
Concrete is the most consumed material in the construction industry. Using recycled aggregates (RA) and silica fume (SF) in concrete and mortar could preserve natural aggregates (NA) and reduce CO(2) emissions and construction and demolition waste (C&DW) generation. Optimizing the mixture design...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248084/ https://www.ncbi.nlm.nih.gov/pubmed/37303530 http://dx.doi.org/10.1016/j.heliyon.2023.e16381 |
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author | Bamshad, Omid Mahdikhani, Mahdi Ramezanianpour, Amir Mohammad Maleki, Zahra Majlesi, Arsalan Habibi, Alireza Delavar, Mohammad Aghajani |
author_facet | Bamshad, Omid Mahdikhani, Mahdi Ramezanianpour, Amir Mohammad Maleki, Zahra Majlesi, Arsalan Habibi, Alireza Delavar, Mohammad Aghajani |
author_sort | Bamshad, Omid |
collection | PubMed |
description | Concrete is the most consumed material in the construction industry. Using recycled aggregates (RA) and silica fume (SF) in concrete and mortar could preserve natural aggregates (NA) and reduce CO(2) emissions and construction and demolition waste (C&DW) generation. Optimizing the mixture design based on both fresh and hardened properties of recycled self-consolidating mortar (RSCM) has not been performed. In this study, multi-objective optimization of mechanical properties and workability of RSCM containing SF was performed via Taguchi Design Method (TDM) with four main variables including cement content, W/C ratio, SF content and superplasticizer content at three different levels. SF was used to decrease the environmental pollution caused by cement production as well as compensating the negative effect of RA on the mechanical properties of RSCM. The results revealed that TDM could appropriately predict the workability and compressive strength of RSCM. Also, mixture design containing W/C = 0.39, SF = 6%, cement = 750 kg/m(3) and SP = 0.33% was found as the optimum mixture having the highest compressive strength and acceptable workability as well as low cost and environmental concerns. |
format | Online Article Text |
id | pubmed-10248084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102480842023-06-09 Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method Bamshad, Omid Mahdikhani, Mahdi Ramezanianpour, Amir Mohammad Maleki, Zahra Majlesi, Arsalan Habibi, Alireza Delavar, Mohammad Aghajani Heliyon Research Article Concrete is the most consumed material in the construction industry. Using recycled aggregates (RA) and silica fume (SF) in concrete and mortar could preserve natural aggregates (NA) and reduce CO(2) emissions and construction and demolition waste (C&DW) generation. Optimizing the mixture design based on both fresh and hardened properties of recycled self-consolidating mortar (RSCM) has not been performed. In this study, multi-objective optimization of mechanical properties and workability of RSCM containing SF was performed via Taguchi Design Method (TDM) with four main variables including cement content, W/C ratio, SF content and superplasticizer content at three different levels. SF was used to decrease the environmental pollution caused by cement production as well as compensating the negative effect of RA on the mechanical properties of RSCM. The results revealed that TDM could appropriately predict the workability and compressive strength of RSCM. Also, mixture design containing W/C = 0.39, SF = 6%, cement = 750 kg/m(3) and SP = 0.33% was found as the optimum mixture having the highest compressive strength and acceptable workability as well as low cost and environmental concerns. Elsevier 2023-05-19 /pmc/articles/PMC10248084/ /pubmed/37303530 http://dx.doi.org/10.1016/j.heliyon.2023.e16381 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Bamshad, Omid Mahdikhani, Mahdi Ramezanianpour, Amir Mohammad Maleki, Zahra Majlesi, Arsalan Habibi, Alireza Delavar, Mohammad Aghajani Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method |
title | Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method |
title_full | Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method |
title_fullStr | Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method |
title_full_unstemmed | Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method |
title_short | Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method |
title_sort | prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using taguchi design method |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248084/ https://www.ncbi.nlm.nih.gov/pubmed/37303530 http://dx.doi.org/10.1016/j.heliyon.2023.e16381 |
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