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


Serin S., Morova N. , SALTAN M. , TERZİ S. , Karasahin M.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.26, no.4, pp.1943-1950, 2014 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 4
  • Publication Date: 2014
  • Doi Number: 10.3233/ifs-130873
  • Title of Journal : JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
  • Page Numbers: pp.1943-1950

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/cm(3))) 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.