PREDICTION OF THE PAVEMENT SERVICEABILITY RATIO OF RIGID HIGHWAY PAVEMENTS BY ADAPTIVE NEURO-FUZZY

Year 2012, Volume: 4 Issue: 2, 96 - 101, 01.06.2012

Nihat Morova Şebnem Sargın Sercan Serin Serdal Terzi Mehmet Saltan

Abstract

In this study, an Adaptive Neuro-Fuzzy Inference System (ANFIS) model has been developed in order to predict Present Serviceability Ratio (PSR) which is one of the important parameter used in designing rigid pavements. In modeling Slope Variance (SV), Cracking (C) and Patching (P) were used as input parameters and PSR was used as output parameter ANFIS model compared with experimental (measured) parameters and determined that correlation was perfect between them. It was determined that can be able to use ANFIS model for predicting PSR used practically in designing rigid pavements depending on SV, C and P with low error rates within a short period of time without any experimental study and measurement.

Keywords

Rigid Pavements, Present Serviceability Ratio, Adaptive Neuro-Fuzzy Inference System

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