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Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts
Eco-friendly and sustainable materials that are cost-effective, while having a reduced carbon footprint and energy consumption, are in great demand by the construction industry worldwide. Accordingly, alkali-activated materials (AAM) composed primarily of industrial byproducts have emerged as more d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125601/ https://www.ncbi.nlm.nih.gov/pubmed/34063038 http://dx.doi.org/10.3390/ma14092401 |
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author | Faridmehr, Iman Nehdi, Moncef L. Nikoo, Mehdi Huseien, Ghasan Fahim Ozbakkaloglu, Togay |
author_facet | Faridmehr, Iman Nehdi, Moncef L. Nikoo, Mehdi Huseien, Ghasan Fahim Ozbakkaloglu, Togay |
author_sort | Faridmehr, Iman |
collection | PubMed |
description | Eco-friendly and sustainable materials that are cost-effective, while having a reduced carbon footprint and energy consumption, are in great demand by the construction industry worldwide. Accordingly, alkali-activated materials (AAM) composed primarily of industrial byproducts have emerged as more desirable alternatives to ordinary Portland cement (OPC)-based concrete. Hence, this study investigates the cradle-to-gate life-cycle assessment (LCA) of ternary blended alkali-activated mortars made with industrial byproducts. Moreover, the embodied energy (EE), which represents an important parameter in cradle-to-gate life-cycle analysis, was investigated for 42 AAM mixtures. The boundary of the cradle-to-gate system was extended to include the mechanical and durability properties of AAMs on the basis of performance criteria. Using the experimental test database thus developed, an optimized artificial neural network (ANN) combined with the cuckoo optimization algorithm (COA) was developed to estimate the CO(2) emissions and EE of AAMs. Considering the lack of systematic research on the cradle-to-gate LCA of AAMs in the literature, the results of this research provide new insights into the assessment of the environmental impact of AAM made with industrial byproducts. The final weight and bias values of the AAN model can be used to design AAM mixtures with targeted mechanical properties and CO(2) emission considering desired amounts of industrial byproduct utilization in the mixture. |
format | Online Article Text |
id | pubmed-8125601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81256012021-05-17 Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts Faridmehr, Iman Nehdi, Moncef L. Nikoo, Mehdi Huseien, Ghasan Fahim Ozbakkaloglu, Togay Materials (Basel) Article Eco-friendly and sustainable materials that are cost-effective, while having a reduced carbon footprint and energy consumption, are in great demand by the construction industry worldwide. Accordingly, alkali-activated materials (AAM) composed primarily of industrial byproducts have emerged as more desirable alternatives to ordinary Portland cement (OPC)-based concrete. Hence, this study investigates the cradle-to-gate life-cycle assessment (LCA) of ternary blended alkali-activated mortars made with industrial byproducts. Moreover, the embodied energy (EE), which represents an important parameter in cradle-to-gate life-cycle analysis, was investigated for 42 AAM mixtures. The boundary of the cradle-to-gate system was extended to include the mechanical and durability properties of AAMs on the basis of performance criteria. Using the experimental test database thus developed, an optimized artificial neural network (ANN) combined with the cuckoo optimization algorithm (COA) was developed to estimate the CO(2) emissions and EE of AAMs. Considering the lack of systematic research on the cradle-to-gate LCA of AAMs in the literature, the results of this research provide new insights into the assessment of the environmental impact of AAM made with industrial byproducts. The final weight and bias values of the AAN model can be used to design AAM mixtures with targeted mechanical properties and CO(2) emission considering desired amounts of industrial byproduct utilization in the mixture. MDPI 2021-05-05 /pmc/articles/PMC8125601/ /pubmed/34063038 http://dx.doi.org/10.3390/ma14092401 Text en © 2021 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 Faridmehr, Iman Nehdi, Moncef L. Nikoo, Mehdi Huseien, Ghasan Fahim Ozbakkaloglu, Togay Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts |
title | Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts |
title_full | Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts |
title_fullStr | Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts |
title_full_unstemmed | Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts |
title_short | Life-Cycle Assessment of Alkali-Activated Materials Incorporating Industrial Byproducts |
title_sort | life-cycle assessment of alkali-activated materials incorporating industrial byproducts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125601/ https://www.ncbi.nlm.nih.gov/pubmed/34063038 http://dx.doi.org/10.3390/ma14092401 |
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