Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns
The ultimate strength of composite columns is a significant factor for engineers and, therefore, finding a trustworthy and quick method to predict it with a good accuracy is very important. In the previous studies, the gene expression programming (GEP), as a new methodology, was trained and tested f...
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| Format: | Article |
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MDPI AG
2021-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/21/10468 |
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| author | Huanjun Jiang Ahmed Salih Mohammed Reza Andasht Kazeroon Payam Sarir |
| author_facet | Huanjun Jiang Ahmed Salih Mohammed Reza Andasht Kazeroon Payam Sarir |
| author_sort | Huanjun Jiang |
| collection | DOAJ |
| description | The ultimate strength of composite columns is a significant factor for engineers and, therefore, finding a trustworthy and quick method to predict it with a good accuracy is very important. In the previous studies, the gene expression programming (GEP), as a new methodology, was trained and tested for a number of concrete-filled steel tube (CFST) samples and a GEP-based equation was proposed to estimate the ultimate bearing capacity of the CFST columns. In this study, however, the equation is considered to be validated for its results, and to ensure it is clearly capable of predicting the ultimate bearing capacity of the columns with high-strength concrete. Therefore, 32 samples with high-strength concrete were considered and they were modelled using the finite element method (FEM). The ultimate bearing capacity was obtained by FEM, and was compared with the results achieved from the GEP equation, and both were compared to the respective experimental results. It was evident from the results that the majority of values obtained from GEP were closer to the real experimental data than those obtained from FEM. This demonstrates the accuracy of the predictive equation obtained from GEP for these types of CFST column. |
| first_indexed | 2024-03-10T06:05:29Z |
| format | Article |
| id | doaj.art-4f7ac22e73914ce49e4b6e219260bf9f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:05:29Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-4f7ac22e73914ce49e4b6e219260bf9f2023-11-22T20:32:39ZengMDPI AGApplied Sciences2076-34172021-11-0111211046810.3390/app112110468Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST ColumnsHuanjun Jiang0Ahmed Salih Mohammed1Reza Andasht Kazeroon2Payam Sarir3State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, ChinaCivil Engineering Department, College of Engineering, University of Sulaimani, Sulaymaniyah 46001, IraqFaculty of Civil Engineering, College of Engineering, Universiti Teknologi Mara (UiTM), Shah Alam 40450, Selangor, MalaysiaState Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, ChinaThe ultimate strength of composite columns is a significant factor for engineers and, therefore, finding a trustworthy and quick method to predict it with a good accuracy is very important. In the previous studies, the gene expression programming (GEP), as a new methodology, was trained and tested for a number of concrete-filled steel tube (CFST) samples and a GEP-based equation was proposed to estimate the ultimate bearing capacity of the CFST columns. In this study, however, the equation is considered to be validated for its results, and to ensure it is clearly capable of predicting the ultimate bearing capacity of the columns with high-strength concrete. Therefore, 32 samples with high-strength concrete were considered and they were modelled using the finite element method (FEM). The ultimate bearing capacity was obtained by FEM, and was compared with the results achieved from the GEP equation, and both were compared to the respective experimental results. It was evident from the results that the majority of values obtained from GEP were closer to the real experimental data than those obtained from FEM. This demonstrates the accuracy of the predictive equation obtained from GEP for these types of CFST column.https://www.mdpi.com/2076-3417/11/21/10468confinement of concreteCFST composite columnartificial intelligencegene-expression programminghybrid techniquesfinite element method (FEM) |
| spellingShingle | Huanjun Jiang Ahmed Salih Mohammed Reza Andasht Kazeroon Payam Sarir Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns Applied Sciences confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) |
| title | Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns |
| title_full | Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns |
| title_fullStr | Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns |
| title_full_unstemmed | Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns |
| title_short | Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns |
| title_sort | use of the gene expression programming equation and fem for the high strength cfst columns |
| topic | confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) |
| url | https://www.mdpi.com/2076-3417/11/21/10468 |
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