Fuzzy Systems and its Applications

Fuzzy Systems and its Applications

Fuzzy Prediction of Compressive Strength of Self-Consolidated Concrete Under Tidal Condition of Oman Sea

Document Type : Original Article

Authors
1 Velayat University, Department of civil engineering
2 Velayat University
3 Islamic Azad University,
10.22034/jfsa.2025.497454.1255
Abstract
In this research, a fuzzy system has been presented to predict the behavior of self-consolidated concrete (SCC) under tidal conditions in Sea of Oman. As the coastal concrete structures are subjected to chloride attack, it is highly essential to consider their compressive strength. For this purpose, in order to define the fuzzy membership functions, a number of SCC specimens of different w/c ratios, different percentages of micro-sio2 and nano-sio2 were made and placed on the coast of the Sea of Oman at different ages. These concrete specimens were covered with nets and subjected to sea tidal condition. After that, a fuzzy system was defined which includes four input functions: w/c ratio, age, amount of micro-sio2 and nano-sio2. The output function was the compressive strength of the concrete. In this fuzzy system, Mamdani inference engine was used. Ultimately, this system was able to predict the compressive strength of self-compacting concrete under tidal condition with high accuracy and with only an 3% difference.
Keywords
Subjects

[1] Adili, E., Sohrabi, M. R., & Nehi, H. M. (2014). Prediction of microcracks in concrete using fuzzy systems. Journal of Intelligent & Fuzzy Systems, 27(3), 1161-1168. https://doi.org/10.3233/IFS-131079  
 
[2] Haseli. B, Nouri. G, Mardi. M, Adili. E and Bahari. M (2023). Prediction of strength parameters of concrete containing different additives using optimized neural network algorithm. Numerical Method in Civil Engineering, 7(4), 12-23.
 
[3] Mangir. A, Okumus. F. (2023). Pre-earthquake fuzzy logic-based rapid hazard assessment of reinforced concrete buildings. Case Studies in Construction Materials. 19. https://doi.org/10.1016/j.cscm.2023.e02534
 
[4] Fang. J, Liang. J, Bian. J, Dang. F, Qin.Y, He. Min. Research on the static and dynamic tensile damage mechanism of concrete based on fuzzy sets. Construction and Building Materials, Volume 443, 2024, 137676, ISSN 0950-0618. https://doi.org/10.1016/j.conbuildmat.2024.137676.
 
[5] Tanyildizi. H. Fuzzy logic model for the prediction of bond strength of high-strength lightweight concrete. Advances in Engineering Software, Volume 40, Issue 3, 2009, Pages 161-169, ISSN 0965-9978, https://doi.org/10.1016/j.advengsoft.2007.05.013.
 
[6] Chuang. K, Lan. T, Zhang. L, Chen. Y and Dai. X (2019). Parameter optimization for computer numerical controlled machining using fuzzy and game theory. Symmetry. DOI: 10.3390/sym11121450
 
[7] Tong. L, Šavija. B, Zhang. M, Xiong. Q. X, Liu. Q. F. Chloride penetration in concrete under varying humidity and temperature changes: A numerical study. Construction and Building Materials, Volume 458, 2025, 138380, ISSN 0950-0618, https://doi.org/10.1016/j.conbuildmat.2024.138380.
 
[8] Li. Y, Zhu. W, Zheng. X, Hao. E, Zhang. D, Wang. T. Study on chloride attack resistance of concrete with lithium slag content. Journal of Building Engineering, Volume 97, 2024, 110723, ISSN 2352-7102, https://doi.org/10.1016/j.jobe.2024.110723.
 
[9] Liu. D, Wang. C, Guo. T, Gonzalez-Libreros. J, Ge. Y, Tu. Y, Elfgren. L, Sas. G. Time–depth dependent chloride diffusion coefficient of self-compacting concrete. Magazine of Concrete Research, Volume 76, Issue 12, 2024, Pages 600-616, ISSN 1751-763X, https://doi.org/10.1680/jmacr.23.00237.
 
[10] Du. T, Xiao. J, Li. C, Gan. Y, Jiang. X, Experimental and numerical study on the chloride ions penetration in recycled aggregate concrete, Construction and Building Materials, Volume 451, 2024, 138702, ISSN 0950-0618, https://doi.org/10.1016/j.conbuildmat.2024.138702.
 
Volume 7, Issue 2 - Serial Number 15
Open Access Statement
December 2024
Pages 225-244

  • Receive Date 02 January 2025
  • Revise Date 11 March 2025
  • Accept Date 10 April 2025