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Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction
The building and construction industry’s demand for steel reinforcement bars has increased with the rapid growth and development in the world. However, steel production contributes to harmful waste and emissions that cause environmental pollution and climate change-related problems. In light of sust...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608324/ https://www.ncbi.nlm.nih.gov/pubmed/37895769 http://dx.doi.org/10.3390/ma16206788 |
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author | Waqas, Hafiz Ahmed Bahrami, Alireza Sahil, Mehran Poshad Khan, Adil Ejaz, Ali Shafique, Taimoor Tariq, Zain Ahmad, Sajeel Özkılıç, Yasin Onuralp |
author_facet | Waqas, Hafiz Ahmed Bahrami, Alireza Sahil, Mehran Poshad Khan, Adil Ejaz, Ali Shafique, Taimoor Tariq, Zain Ahmad, Sajeel Özkılıç, Yasin Onuralp |
author_sort | Waqas, Hafiz Ahmed |
collection | PubMed |
description | The building and construction industry’s demand for steel reinforcement bars has increased with the rapid growth and development in the world. However, steel production contributes to harmful waste and emissions that cause environmental pollution and climate change-related problems. In light of sustainable construction practices, bamboo, a readily accessible and eco-friendly building material, is suggested as a viable replacement for steel rebars. Its cost-effectiveness, environmental sustainability, and considerable tensile strength make it a promising option. In this research, hybrid beams underwent analysis through the use of thoroughly validated finite element models (FEMs), wherein the replacement of steel rebars with bamboo was explored as an alternative reinforcement material. The standard-size beams were subjected to three-point loading using FEMs to study parameters such as the load–deflection response, energy absorption, maximum capacity, and failure patterns. Then, gene expression programming was integrated to aid in developing a more straightforward equation for predicting the flexural strength of bamboo-reinforced concrete beams. The results of this study support the conclusion that the replacement of a portion of flexural steel with bamboo in reinforced concrete beams does not have a detrimental impact on the overall load-bearing capacity and energy absorption of the structure. Furthermore, it may offer a cost-effective and feasible alternative. |
format | Online Article Text |
id | pubmed-10608324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106083242023-10-28 Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction Waqas, Hafiz Ahmed Bahrami, Alireza Sahil, Mehran Poshad Khan, Adil Ejaz, Ali Shafique, Taimoor Tariq, Zain Ahmad, Sajeel Özkılıç, Yasin Onuralp Materials (Basel) Article The building and construction industry’s demand for steel reinforcement bars has increased with the rapid growth and development in the world. However, steel production contributes to harmful waste and emissions that cause environmental pollution and climate change-related problems. In light of sustainable construction practices, bamboo, a readily accessible and eco-friendly building material, is suggested as a viable replacement for steel rebars. Its cost-effectiveness, environmental sustainability, and considerable tensile strength make it a promising option. In this research, hybrid beams underwent analysis through the use of thoroughly validated finite element models (FEMs), wherein the replacement of steel rebars with bamboo was explored as an alternative reinforcement material. The standard-size beams were subjected to three-point loading using FEMs to study parameters such as the load–deflection response, energy absorption, maximum capacity, and failure patterns. Then, gene expression programming was integrated to aid in developing a more straightforward equation for predicting the flexural strength of bamboo-reinforced concrete beams. The results of this study support the conclusion that the replacement of a portion of flexural steel with bamboo in reinforced concrete beams does not have a detrimental impact on the overall load-bearing capacity and energy absorption of the structure. Furthermore, it may offer a cost-effective and feasible alternative. MDPI 2023-10-20 /pmc/articles/PMC10608324/ /pubmed/37895769 http://dx.doi.org/10.3390/ma16206788 Text en © 2023 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 Waqas, Hafiz Ahmed Bahrami, Alireza Sahil, Mehran Poshad Khan, Adil Ejaz, Ali Shafique, Taimoor Tariq, Zain Ahmad, Sajeel Özkılıç, Yasin Onuralp Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction |
title | Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction |
title_full | Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction |
title_fullStr | Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction |
title_full_unstemmed | Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction |
title_short | Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction |
title_sort | performance prediction of hybrid bamboo-reinforced concrete beams using gene expression programming for sustainable construction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608324/ https://www.ncbi.nlm.nih.gov/pubmed/37895769 http://dx.doi.org/10.3390/ma16206788 |
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