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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.39 No.3
- 발행연도
- 2021.1
- 수록면
- 319 - 335 (17page)
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초록· 키워드
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This study proposes a new and highly-accurate artificial intelligence model, namely ANN-IP, which combines an interior-point (IP) algorithm and artificial neural network (ANN), to improve the axial compression capacity prediction of elliptical concrete-filled steel tubular (CFST) columns. For this purpose, 145 tests of elliptical CFST columns extracted from the literature are used to develop the ANN-IP model. In this regard, axial compression capacity is considered as a function of the column length, the major axis diameter, the minor axis diameter, the thickness of the steel tube, the yield strength of the steel tube, and the compressive strength of concrete. The performance of the ANN-IP model is compared with the ANN-LM model, which uses the robust Levenberg–Marquardt (LM) algorithm to train the ANN model. The comparative results show that the ANN-IP model obtains more magnificent precision (𝑅2 = 0.983, 𝑅𝑀𝑆𝐸 = 59.963 kN, 𝑎20−𝑖𝑛𝑑𝑒𝑥 = 0.979) than the ANN-LM model (𝑅2 = 0.938, 𝑅𝑀𝑆𝐸 = 116.634 kN, 𝑎20−𝑖𝑛𝑑𝑒𝑥 = 0.890). Finally, a new Graphical User Interface (GUI) tool is developed to use the ANN-IP model for the practical design. In conclusion, this study reveals that the proposed ANN-IP model can properly predict the axial compression capacity of elliptical CFST columns and eliminate the need for conducting costly experiments to some extent.
목차
등록된 정보가 없습니다.
참고문헌 (79)
참고문헌 신청
2014 / ACI 318-14 - Building Code Requirements for Structural Concrete
Mizan Ahmed / 2020 / Computational simulation of elliptical concrete-filled steel tubular short columns including new confinement model / Journal of Constructional Steel Research 174:106294
AISC / 2016 / Specification for Structural Steel Buildings, ANSI /AISC 360-16. Am Inst Steel Constr 676
Joa˜o S. Albuquerque / 1997 / Interior point SQP strategies for structured process optimization problems / Computers & Chemical Engineering 21:S853~S859
Andrei, N. / 2017 / Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology
Mizan Ahmed / 2020 / Computational simulation of elliptical concrete-filled steel tubular short columns including new confinement model / Journal of Constructional Steel Research 174:106294
AISC / 2016 / Specification for Structural Steel Buildings, ANSI /AISC 360-16. Am Inst Steel Constr 676
Joa˜o S. Albuquerque / 1997 / Interior point SQP strategies for structured process optimization problems / Computers & Chemical Engineering 21:S853~S859
Andrei, N. / 2017 / Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology
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