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Smart Structures and Systems Volume 28, Number 2, August 2021 , pages 167-180 DOI: https://doi.org/10.12989/sss.2021.28.2.167 |
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Application of multi-hybrid metaheuristic algorithm on prediction of split-tensile strength of shear connectors |
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Chao Liu, Yousef Zandi, Abouzar Rahimi, Yongli Peng, Genwang Ge, Mohamed Amine Khadimallah, Alibek Issakhov and Subbotina Tatyana Yu
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| Abstract | ||
| Shear connectors play a major role in the development of composite steel concrete systems. The behavior of shear connectors is usually calculated by push-out measurements. These experiments are expensive and take a lot of time. Soft Computation (SC) may be applied as an additional solution to remove the need for push-out testing. The objective of the research is to explore the implementation, as sub-branches of the SC approaches, of artificial intelligence (AI) techniques for the prediction of advanced C-shaped shear connectors. To this end, multiple push-out tests on these connectors will be carried out and the requisite data is obtained for the AI models. The Grey Wolf Optimizer algorithm (GWO) is built to define the parameters that influence the shear strength of angle connectors. Two regression metrics as determination coefficient (R2) and root mean square (RMSE) were used to measure the results of model. Furthermore, only four parameters in the predictive models are sufficient to provide an extremely precise prediction. It was found that GWO is a faster method and is able to achieve marginally higher output indices than in experiments. | ||
| Key Words | ||
| multi-hybrid metaheuristic algorithm; prediction; shear connector; split-tensile strength | ||
| Address | ||
| (1) Chao Liu: Shenyang Borlid Technology Co., Ltd., Shenyang 110036, China; (2) Yousef Zandi, Abouzar Rahimi: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran; (3) Yongli Peng, Genwang Ge: Ma'anshan University, Ma'anshan 243100, China; (4) Mohamed Amine Khadimallah: Prince Sattam Bin Abdulaziz University, College of Engineering, Civil Engineering Department, Al-Kharj, 16273, Saudi Arabia; (5) Mohamed Amine Khadimallah, Alibek Issakhov: Laboratory of Systems and Applied Mechanics, Polytechnic School of Tunisia, University of Carthage, Tunis, Tunisia; (6) Alibek Issakhov: Al-Farabi Kazakh National University, Almaty, Kazakhstan; (7) Alibek Issakhov: Kazakh-British Technical University, Almaty, Kazakhstan; (8) Subbotina Tatyana Yu: South Ural State University, Russian Federation, Chelyabinsk, Russian Federation. | ||