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

Authors : Nihat MOROVA, Şebnem SARGIN, Sercan SERİN, Serdal TERZİ, Mehmet SALTAN

Pages : 96-101

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Publication Date : 2012-06-01

Article Type : Research Paper

Abstract :In this study, an Adaptive Neuro-Fuzzy Inference System insert ignore into journalissuearticles values(ANFIS); model has been developed in order to predict Present Serviceability Ratio insert ignore into journalissuearticles values(PSR); which is one of the important parameter used in designing rigid pavements. In modeling Slope Variance insert ignore into journalissuearticles values(SV);, Cracking insert ignore into journalissuearticles values(C); and Patching insert ignore into journalissuearticles values(P); were used as input parameters and PSR was used as output parameter ANFIS model compared with experimental insert ignore into journalissuearticles values(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