Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic

Article type: Research Article

Authors: Serin, Sercan | Morova, Nihat | Saltan, Mehmet | Terzi, Serdal | Karaşahin, Mustafa

Affiliations: Civil Engineering Department, Faculty of Technology, Duzce University, Duzce, Turkey | Manufacturing Engineering Department, Faculty of Technology, Suleyman Demirel University, Isparta, Turkey | Civil Engineering Department, Faculty of Engineering, Suleyman Demirel University, Isparta, Turkey | Civil Engineering Department, Faculty of Engineering, İstanbul University, Avcilar İstanbul, Turkey

Note: [] Corresponding author. Sercan Serin, Civil Engineering Department, Faculty of Technology, Duzce University, Duzce, Turkey. E-mail: [email protected]

Abstract: In this study, Marshall Stability (MS) of steel fiber reinforced asphalt concrete has been predicted using steel fiber rate (0%, 0.25%, 0.50%, 0.75%, 1.0%, 1.5%, 2.0% and 2.5%), bitumen content (5%, 5.5% and 6.0%) and unit weights (2,465–2,515 (gr/cm3)) by Fuzzy Logic (FL). Results have shown that developed FL model has a strong potential for predicting the MS of asphalt concrete without performing any experimental studies.

Keywords: Asphalt concrete, steel fiber, fuzzy logic, marshall stability

DOI: 10.3233/IFS-130873

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 4, pp. 1943-1950, 2014