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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MDPI AG
2023-10-01
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| Online Access: | https://www.mdpi.com/1996-1944/16/20/6788 |
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| author | Hafiz Ahmed Waqas Alireza Bahrami Mehran Sahil Adil Poshad Khan Ali Ejaz Taimoor Shafique Zain Tariq Sajeel Ahmad Yasin Onuralp Özkılıç |
| author_facet | Hafiz Ahmed Waqas Alireza Bahrami Mehran Sahil Adil Poshad Khan Ali Ejaz Taimoor Shafique Zain Tariq Sajeel Ahmad Yasin Onuralp Özkılıç |
| author_sort | Hafiz Ahmed Waqas |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T21:06:01Z |
| format | Article |
| id | doaj.art-a926c33fe358422eb8507d8e97679866 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-10T21:06:01Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-a926c33fe358422eb8507d8e976798662023-11-19T17:12:22ZengMDPI AGMaterials1996-19442023-10-011620678810.3390/ma16206788Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable ConstructionHafiz Ahmed Waqas0Alireza Bahrami1Mehran Sahil2Adil Poshad Khan3Ali Ejaz4Taimoor Shafique5Zain Tariq6Sajeel Ahmad7Yasin Onuralp Özkılıç8Department of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi 23640, PakistanDepartment of Building Engineering, Energy Systems and Sustainability Science, Faculty of Engineering and Sustainable Development, University of Gävle, 801 76 Gävle, SwedenDepartment of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi 23640, PakistanDepartment of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi 23640, PakistanStructural Engineering Department, National Institute of Transportation, National University of Science and Technology, Risalpur 23200, PakistanDepartment of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi 23640, PakistanDepartment of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi 23640, PakistanDepartment of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi 23640, PakistanDepartment of Civil Engineering, Necmettin Erbakan University, 42090 Konya, TurkeyThe 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.https://www.mdpi.com/1996-1944/16/20/6788green building materialhybrid beamsbamboo-reinforced concrete beamfinite element modelreplacementgene expression programming |
| spellingShingle | Hafiz Ahmed Waqas Alireza Bahrami Mehran Sahil Adil Poshad Khan Ali Ejaz Taimoor Shafique Zain Tariq Sajeel Ahmad Yasin Onuralp Özkılıç Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction Materials green building material hybrid beams bamboo-reinforced concrete beam finite element model replacement gene expression programming |
| 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 | green building material hybrid beams bamboo-reinforced concrete beam finite element model replacement gene expression programming |
| url | https://www.mdpi.com/1996-1944/16/20/6788 |
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