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A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior
This study provides a more profound understanding of the influence of the phases of fiber-reinforced recycled-aggregate concrete (FRRAC), on its elastic properties, in particular Young’s modulus and Poisson’s ratio. Multi-scale modeling analyses of mortar and FRRAC were conducted to assess the effec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024749/ https://www.ncbi.nlm.nih.gov/pubmed/36934157 http://dx.doi.org/10.1038/s41598-023-31646-0 |
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author | Hosseinzadeh, Maedeh Dehestani, Mehdi Samadvand, Hojjat |
author_facet | Hosseinzadeh, Maedeh Dehestani, Mehdi Samadvand, Hojjat |
author_sort | Hosseinzadeh, Maedeh |
collection | PubMed |
description | This study provides a more profound understanding of the influence of the phases of fiber-reinforced recycled-aggregate concrete (FRRAC), on its elastic properties, in particular Young’s modulus and Poisson’s ratio. Multi-scale modeling analyses of mortar and FRRAC were conducted to assess the effect of variations in the fiber content, fiber elastic modulus, RA content, and water-to-cement ratio (w/c) on the elastic properties at each scale. Thus, the analytic Mori–Tanaka (MT) homogenization algorithm developed in Python programming language and the three-dimensional finite element (FE) homogenization scheme were applied to evaluate the elastic properties of FRRAC. As such, different fiber types including steel, basalt, glass, and propylene, at a volume fraction range of 0–2%, along with the variations in fiber elastic modulus, and different RA replacement levels ranging from 0 to 100% were incorporated in the modeling process at different w/c ratio. Based on the results, the Poisson’s ratio of steel FRRAC in the MT approach surges with increasing fiber content. Furthermore, the elastic modulus of FRRAC is highly susceptible to an increase in Young’s modulus of polypropylene fiber, among other fiber types. The elastic modulus of concrete experiences a sharp decrease with increasing w/c for all fiber types in both FE and MT approaches. |
format | Online Article Text |
id | pubmed-10024749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100247492023-03-20 A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior Hosseinzadeh, Maedeh Dehestani, Mehdi Samadvand, Hojjat Sci Rep Article This study provides a more profound understanding of the influence of the phases of fiber-reinforced recycled-aggregate concrete (FRRAC), on its elastic properties, in particular Young’s modulus and Poisson’s ratio. Multi-scale modeling analyses of mortar and FRRAC were conducted to assess the effect of variations in the fiber content, fiber elastic modulus, RA content, and water-to-cement ratio (w/c) on the elastic properties at each scale. Thus, the analytic Mori–Tanaka (MT) homogenization algorithm developed in Python programming language and the three-dimensional finite element (FE) homogenization scheme were applied to evaluate the elastic properties of FRRAC. As such, different fiber types including steel, basalt, glass, and propylene, at a volume fraction range of 0–2%, along with the variations in fiber elastic modulus, and different RA replacement levels ranging from 0 to 100% were incorporated in the modeling process at different w/c ratio. Based on the results, the Poisson’s ratio of steel FRRAC in the MT approach surges with increasing fiber content. Furthermore, the elastic modulus of FRRAC is highly susceptible to an increase in Young’s modulus of polypropylene fiber, among other fiber types. The elastic modulus of concrete experiences a sharp decrease with increasing w/c for all fiber types in both FE and MT approaches. Nature Publishing Group UK 2023-03-18 /pmc/articles/PMC10024749/ /pubmed/36934157 http://dx.doi.org/10.1038/s41598-023-31646-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hosseinzadeh, Maedeh Dehestani, Mehdi Samadvand, Hojjat A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
title | A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
title_full | A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
title_fullStr | A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
title_full_unstemmed | A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
title_short | A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
title_sort | comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024749/ https://www.ncbi.nlm.nih.gov/pubmed/36934157 http://dx.doi.org/10.1038/s41598-023-31646-0 |
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