- Uluslararası Teknolojik Bilimler Dergisi
- Vol: 4 Issue: 2
- PREDICTION OF THE PAVEMENT SERVICEABILITY RATIO OF RIGID HIGHWAY PAVEMENTS BY ADAPTIVE NEURO-FUZZY
PREDICTION OF THE PAVEMENT SERVICEABILITY RATIO OF RIGID HIGHWAY PAVEMENTS BY ADAPTIVE NEURO-FUZZY
Authors : Nihat Morova, Şebnem Sargin, Sercan Serin, Serdal Terzi, Mehmet Saltan
Pages : 96-101
View : 16 | Download : 2
Publication Date : 2012-06-01
Article Type : Research
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