A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Pavement Performance Prediction through Fuzzy Logic Using Marine Corps Air Station Cherry Point, North Carolina Measurements
An airfield condition survey and load evaluation was performed at MCAS CHERRY POINT, NORTH CAROLINA by the Pavement Evaluation Team from Atlantic Division, Naval Facilities Engineering Command. The condition survey and load evaluations were performed on all active airfield pavements. The main purpose of this paper is to develop a fuzzy logic method for estimating of pavement condition rating by considering severity and extent, pavement distress as input variables and deduct value as output variable. The model was established to predict the performance of flexible and rigid pavements using the parameters routinely collected by the Pavement Evaluation Team to characterize the condition of an existing pavement. These parameters were generally obtained by performing falling weight deflectometer tests and monitoring the development of distresses on the pavement surface. The proposed model for predicting pavement performance was characterized by multilayer that led the reasoning process of the IF-THEN fuzzy rules. The proposed fuzzy model showed good generalization capability, and the evaluation of the model performance produced satisfactory results, demonstrating the efficiency and potential of these new mathematical modeling techniques.
Pavement Performance Prediction through Fuzzy Logic Using Marine Corps Air Station Cherry Point, North Carolina Measurements
An airfield condition survey and load evaluation was performed at MCAS CHERRY POINT, NORTH CAROLINA by the Pavement Evaluation Team from Atlantic Division, Naval Facilities Engineering Command. The condition survey and load evaluations were performed on all active airfield pavements. The main purpose of this paper is to develop a fuzzy logic method for estimating of pavement condition rating by considering severity and extent, pavement distress as input variables and deduct value as output variable. The model was established to predict the performance of flexible and rigid pavements using the parameters routinely collected by the Pavement Evaluation Team to characterize the condition of an existing pavement. These parameters were generally obtained by performing falling weight deflectometer tests and monitoring the development of distresses on the pavement surface. The proposed model for predicting pavement performance was characterized by multilayer that led the reasoning process of the IF-THEN fuzzy rules. The proposed fuzzy model showed good generalization capability, and the evaluation of the model performance produced satisfactory results, demonstrating the efficiency and potential of these new mathematical modeling techniques.
Pavement Performance Prediction through Fuzzy Logic Using Marine Corps Air Station Cherry Point, North Carolina Measurements
Terzi, S. (author) / Sargın, Ş. (author) / Saltan, M. (author)
2013 Airfield & Highway Pavement Conference ; 2013 ; Los Angeles, California, United States
Airfield and Highway Pavement 2013 ; 650-661
2013-06-18
Conference paper
Electronic Resource
English
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