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Haghgo, Mojtaba | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39977 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Shafahi, Yousof; Tabatabaei, Nader
Abstract:
Fatigue is one of the most common failure modes that reduce the structural integrity of asphalt pavements. Dynamic tests are used as fatigue performance indicators for asphalt mixture. However, these tests are expensive and require special equipment and set up. At this research, the main goal is to develop a fuzzy model which is more efficient than the existing regression model for prediction of the fatigue life. A database from the available data from various research was compiled. For each model, a comparison between Fuzzy and regression output by actual outputs was done and it was seen that the fuzzy modeling can predict fatigue life very closely. Finally, the required software for this type of modeling based on Takagi-Sugeno's fuzzy modeling was developed. Software validation was done based on comparison of actual data and the ones used for model training. It was found that the software predicts fatigue life appropriately
Keywords:
Fatigue ; Regression Analysis ; Asphalt Mixture ; Fuzzy Modeling ; Application Identification ; Takagi-Sugeno's Fuzzy Modeling