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

Serin S., MOROVA N., SALTAN M., TERZİ S., Karaşahin M.

Journal of Intelligent and Fuzzy Systems, vol.26, no.4, pp.1943-1950, 2014 (SCI-Expanded) identifier

  • 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
  • Istanbul Gelisim University 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.