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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...

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Autores principales: Waqas, Hafiz Ahmed, Bahrami, Alireza, Sahil, Mehran, Poshad Khan, Adil, Ejaz, Ali, Shafique, Taimoor, Tariq, Zain, Ahmad, Sajeel, Özkılıç, Yasin Onuralp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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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.
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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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