Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic
Journal of Intelligent and Fuzzy Systems, vol.26, no.4, pp.1943-1950, 2014 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 26 Issue: 4
- Publication Date: 2014
- Doi Number: 10.3233/ifs-130873
- Journal Name: Journal of Intelligent and Fuzzy Systems
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.1943-1950
- Keywords: Asphalt concrete, Fuzzy logic, Marshall stability, Steel fiber
- Isparta University of Applied Sciences Affiliated: No
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. © 2014 - IOS Press.