| Summary: | 碩士 === 國立中央大學 === 土木工程研究所 === 100 === The condition of transportation infrastructure is very important for a country. The infrastructure has a direct impact on the economic development and the quality of life for people. In order to improve the functionality of transportation infrastructure, the concept of life-cycle management has been introduced to the infrastructure maintenance decision-making process. In practice, transportation agencies measure the conditions of transportation facilities by equipment or manual inspection, and then make maintenance decisions based on the measurements and maintenance thresholds. However, most of the optimization methods generate predetermined maintenance plans (a detailed future plan for the types and timings of maintenance actions), which are incompatible with the workflow of the transportation management agencies and difficult to interpret. As a result, the pre-determined plans are not well accepted by transportation agencies in practice.
The past mathematical models for optimizing the transportation infrastructure are not realistic in many ways. Therefore, the solutions obtained by these models are not optimal in the actual situations. To address the problem, a method of finding the optimal maintenance thresholds is proposed in this research. This study uses hybrid dynamic mode (HDM) to describe the transportation infrastructure. The dynamic hybrid mode includes event generator, finite state machine, mode selector and switched systems. This model considers different deterioration and maintenance effects simultaneously. As a result, the solutions are expected to be superior in the actual situations. However, HDM is difficult to solve for large problems. A Lagrangian relaxation algorithm is developed to find the solutions for the pre-determined plan strategies efficiently.
The road network of Dasi Township, Taoyuan County, is used as the numerical example to test the proposed methodology. Various levels of budget are tested to analyze the differences between predetermined plan strategy and maintenance threshold strategy. Finally, the conclusions and future directions for research are provided.
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