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

• Published in: Applied sciences Vol. 11; no. 21; p. 10468
• Main Authors: Jiang, Huanjun, Mohammed, Ahmed Salih, Kazeroon, Reza Andasht, Sarir, Payam
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Accuracy; Artificial intelligence; CFST composite column; Chromosomes; Civil engineering; Composite columns; Concrete; confinement of concrete; Finite element analysis; Finite element method; finite element method (FEM); Gene expression; gene-expression programming; High strength concretes; hybrid techniques; Numerical analysis; Optimization techniques; Ultimate tensile strength; Yield stress
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app112110468

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.