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Designing new hybrid artificial intelligence model for CFST beam flexural performance prediction |
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| Authors: | Hanoon Ammar N. Al Zand Ahmed W. Yaseen Zaher Mundher |
| Affiliation: | 1.Department of Reconstruction and Projects, University of Baghdad, Baghdad, Iraq ;2.Department of Civil Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia ;3.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam ; |
| Abstract: | Engineering with Computers - A substantial number of experimental studies have reported on the flexural performance of concrete-filled steel tube (CFST) beams. Due to the problem complexity,... |
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