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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Autores principales:	Huanjun Jiang, Ahmed Salih Mohammed, Reza Andasht Kazeroon, Payam Sarir
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/4f7ac22e73914ce49e4b6e219260bf9f
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spelling	oai:doaj.org-article:4f7ac22e73914ce49e4b6e219260bf9f2021-11-11T15:24:50ZUse of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns10.3390/app1121104682076-3417https://doaj.org/article/4f7ac22e73914ce49e4b6e219260bf9f2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10468https://doaj.org/toc/2076-3417The 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.Huanjun JiangAhmed Salih MohammedReza Andasht KazeroonPayam SarirMDPI AGarticleconfinement of concreteCFST composite columnartificial intelligencegene-expression programminghybrid techniquesfinite element method (FEM)TechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10468, p 10468 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 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
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.
format	article
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
title	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_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_sort	use of the gene-expression programming equation and fem for the high-strength cfst columns
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4f7ac22e73914ce49e4b6e219260bf9f
work_keys_str_mv	AT huanjunjiang useofthegeneexpressionprogrammingequationandfemforthehighstrengthcfstcolumns AT ahmedsalihmohammed useofthegeneexpressionprogrammingequationandfemforthehighstrengthcfstcolumns AT rezaandashtkazeroon useofthegeneexpressionprogrammingequationandfemforthehighstrengthcfstcolumns AT payamsarir useofthegeneexpressionprogrammingequationandfemforthehighstrengthcfstcolumns
_version_	1718435364779065344

Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns

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