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Computers and Concrete Volume 35, Number 2, February 2025 , pages 113-125 DOI: https://doi.org/10.12989/cac.2025.35.2.113 |
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Fuzzified prediction of serviceable deflection of PCM-overlay RC beam: Alternative of finite element analysis |
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Khuram Rashid, Asif Ali, Muhammad Akram Tahir, Muhammad Safdar and Minkwan Ju
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| Abstract | ||
| This study proposes an intelligent and simplified approach utilizing the fuzzy inference system (FIS) for predicting the serviceable deflection up to the yielding point of PCM-overlay reinforced concrete (RC) beams. The established FIS incorporates eleven logical linguistic variables, enabling the deflection to be conveniently determined by two input parameters: reinforcement area and applied loads. To assess the prediction accuracy, a finite element analysis (FEA) model is constructed, successfully replicating the load-deflection relationship compared to experimental results across various PCM-overlay reinforcement ratios. Subsequently, the ratio of experimental results to FIS predictions is compared with those obtained from FEA analysis. Both FIS and FEA-generated load-deflection curves accurately predict the serviceable deflection observed in experimental results, with a ratio of 0.96 for FIS and 0.84 for FEA. This demonstrates FIS's capability to reasonably predict serviceable deflection without the need for complex FEA modeling and analysis typically performed conventionally. Furthermore, the predictive performance of FIS is validated using previously published 18 test cases of overlay-strengthened RC beams, resulting in an assessment of prediction performance at 0.89. Therefore, the FIS presented in this study can be considered as an alternative method for predicting serviceable deflection and assessing design capacity, offering a viable alternative to conventional FEA methods. | ||
| Key Words | ||
| finite element analysis; fuzzy inference system; PCM-overlay beam; serviceable deflection | ||
| Address | ||
| Khuram Rashid: Department of Architectural Engineering and Design, Faculty of Civil Engineering, University of Engineering and Technology, Lahore, Pakistan Asif Ali: Department of Mathematics, Faculty of Science and Technology, Virtual University of Pakistan, Pakistan Muhammad Akram Tahir: Faculty of Engineering, University of Central Punjab, Lahore, Pakistan Muhammad Safdar: Design Engineer, RH Consulting and Holding Pty Limited, Sydney, Australia Minkwan Ju: Department of Civil and Environmental Engineering, Yonsei University, Seoul, Republic of Korea | ||