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Volume 8, Number 2, April 2023 , pages 147-177 DOI: https://doi.org/10.12989/acd.2023.8.2.147 |
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Application of ANFIS to the design of elliptical CFST columns |
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Ngoc-Long Tran, Trong-Cuong Vo, Duy-Duan Nguyen, Van-Quang Nguyen, Huy-Khanh Dang and Viet-Linh Tran
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| Abstract | ||
| Elliptical concrete-filled steel tubular (CFST) column is widely used in modern structures for both aesthetical appeal and structural performance benefits. The ultimate axial load is a critical factor for designing the elliptical CFST short columns. However, there are complications of geometric and material interactions, which make a difficulty in determining a simple model for predicting the ultimate axial load of elliptical CFST short columns. This study aims to propose an efficient adaptive neuro-fuzzy inference system (ANFIS) model for predicting the ultimate axial load of elliptical CFST short columns. In the proposed method, the ANFIS model is used to establish a relationship between the ultimate axial load and geometric and material properties of elliptical CFST short columns. Accordingly, a total of 188 experimental and simulation datasets of elliptical CFST short columns are used to develop the ANFIS models. The performance of the proposed ANFIS model is compared with that of existing design formulas. The results show that the proposed ANFIS model is more accurate than existing empirical and theoretical formulas. Finally, an explicit formula and a Graphical User Interface (GUI) tool are developed to apply the proposed ANFIS model for practical use. | ||
| Key Words | ||
| adaptive neuro-fuzzy inference system; elliptical concrete-filled steel tubular short column; explicit formula; graphical user interface; ultimate axial load | ||
| Address | ||
| Ngoc-Long Tran, Trong-Cuong Vo, Duy-Duan Nguyen, Van-Quang Nguyen, Huy-Khanh Dang and Viet-Linh Tran: Department of Civil Engineering, Vinh University, Vinh 461010, Vietnam | ||
