| Summary: | 博士 === 國立中央大學 === 土木工程研究所 === 89 === Pavement maintenance can significantly influence pavement performance. Agencies in Taiwan have been faced with decreasing budgets of maintenance and increased road lengths and needs of transportation. The objective of this research is to establish a practical and localized network-level pavement maintenance management system for flexible pavement according to the actual conditions in Taiwan.
Pavement condition data in the Chung-Li Engineering Section of Taiwan Highway Bureau collected periodically by ARAN and FWD were stored and used to establish a pavement database in this research. Present Serviceability Index (PSI) was developed by fuzzy integral incorporated with fuzzy regression. Fuzzy integral not only eliminates the shortcomings of conventional additive measure, but also improve the accuracy and objectiveness of fuzzy regression. The predictive ability of PSI model is 93.32％ and the critical PSI value is 2.19. Besides, the AC mid-depth temperature was selected as the pavement effective temperature according to the FWD measurements on test road. The deflection correction model was developed using regression analysis with three prime affecting variables - pavement temperature, test load, and AC thickness. Comparisons of temperature correction factors with other studies find that although temperature correction factors for deflection were developed under different climatic conditions and pavement structures, the temperature correction factors differ, on average, by only approximately 13%. For overall structural evaluation, the Structural Strength Index (SSI) was established, with criteria to differentiate good or poor pavement structural condition. Furthermore, the selection of flexible pavement maintenance expert system was developed based on experts’ knowledge and experiences. This system can facilitate the maintenance decision and suggest the required cost. Moreover, the priority model of pavement maintenance was performed with four analytic methods for four evaluators - PSI, SSI, traffic volume, heavy-truck ratio, and maintenance cost. Four analytic methods were repeatedly used for cross checking and verifying the most reasonable assessment. Finally, integrating above outcomes to establish the geographic information system - pavement maintenance management system (GIS-PMMS). GIS-PMMS can be provided authorities as a reference for advanced exploration and can improve the efficiency and quality of pavement maintenance.
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