Shear strength estimations and shear designs on RC beams with limited ductility by FL and FIL methods
Öz
In this study, a fuzzy logic model was constituted by using the Fuzzy Logic (FL) method, which is one of the traditional artificial intelligence (AI) methods, in order to estimate the shear strength of reinforced concrete (RC) beams with limited ductility. In this model, beam width(bw), beam height(h), characteristic concrete compressive strength(fck), transverse reinforcement diameter(T), the number of arms bearing the shear force of the transverse reinforcement(n) and transverse reinforcement spacing(s) were taken into account as variable parameters. The model developed by using the problem data containing the solutions of shear force strength of 2640 beams with different cross-section properties were tested with 480 beam solutions different from these data. In the tests of the developed FL model, maximum percentage error, minimum percentage error, average percentage error and correlation coefficient values were obtained as 3.604, -0.091, 1.514 and R2=0.999678. By applying the fuzzy inverse logic method (FIL), which was recently developed by the author of this study, on the FL model, which is seen to have been developed quite sensitively from the test results, a total of 521 designs were obtained for 15 different RC beams with limited ductility subjected to shear. In order to check the accuracy of these designs, after shear strengths were obtained by conventional computations for these designs, % error and correlation coefficients were computed between the obtained strength values and the shear force values taken into account for the design. The promising results show that the FIL method can be used in the design of RC beams under shear force and even in other scientific studies such as design, optimization and control.
Anahtar Kelimeler
Artificial intelligence, Fuzzy logic, Fuzzy inverse logic, Inverse logic, Reinforced concrete beam, Shear design
Kaynakça
- Allali, S. A., Abed, M., & Mebarki, A. (2018). Post-earthquake assessment of buildings damage using fuzzy logic, Engineering Structures, 166, 117-127. https://doi.org/10.1016/j.engstruct.2018.03.055
- Akintunde, O. P. (2021). Fuzzy Logic design approach for a singly reinforced concrete beam, Journal of Civil Engineering Research & Technology. SRC/JCERT-111, 3. https://doi.org/10.47363/JCERT/2021(3)111.
- Amani, J., & Moeini, R. (2012). Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network, Scientia Iranica, 19(2), 242-248. https://doi.org/10.1016/j.scient.2012.02.009
- Cao, Y., Zandi, Y., Rahimi, A., Petković, D., Denić, N., Stojanović, J., ... & Assilzadeh, H. (2021, December). Evaluation and monitoring of impact resistance of fiber reinforced concrete by adaptive neuro fuzzy algorithm, Structures, 34. 3750-3756. https://doi.org/10.1016/j.istruc.2021.09.072
- Cao, Y., Fan, Q., Azar, S. M., Alyousef, R., Yousif, S. T., Wakil, K., ... & Alaskar, A. (2020). Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer, Structures, 27, 118-127. https://doi.org/10.1016/j.istruc.2020.05.031
- Chao, C. J., & Cheng, F. P. (1998). Fuzzy pattern recognition model for diagnosing cracks in RC structures. Journal of computing in civil engineering, 12(2), 111-119.
- Choi, S. K., Tareen, N., Kim, J., Park, S., & Park, I. (2018). Real-time strength monitoring for concrete structures using EMI technique incorporating with fuzzy logic, Applied Sciences, 8(1), 75. https://doi.org/10.3390/app8010075
- Cukaric, A., Camagic, I., Dutina, V., Milkic, Z., & Jovic, S. (2019). Parameters ranking based on influence on dynamical strength of ultra-high performance concrete by neuro fuzzy logic, Struct Concr, 433, 1-7. https://doi.org/10.1002/suco.201900433
- De Iuliis, M., Kammouh, O., Cimellaro, G. P., & Tesfamariam, S. (2019). Downtime estimation of building structures using fuzzy logic, International journal of disaster risk reduction, 34, 196-208. https://doi.org/10.1016/j.ijdrr.2018.11.017
- Doğangün, Adem, Betonarme yapıların hesap ve tasarımı(Turkish), Birsen yayınevi 17th edition, 2021, İstanbul/Turkey.