英文摘要 |
Most of bridge management systems in Taiwan choose the bridges for maintenance by ranking an index counted from its condition state. Because the index may not completely represent the system benefit, the resources may be inefficiently used. In this research, we develop a systematic framework for evaluating bridge maintenance. The framework is divided into four stages. At first, we apply the Markov Chain theory to forecast the future condition of a bridge. According to the bridge :S condition, we calculate both the agency and the user benefits that can be obtained from maintaining the bridge. Thereafter, we develop an optimization model that determines the best bridges to be maintained with the objective of maximizing the system benefit, considering the budget constraint, the correlation constraint between every bridge pair, and other related constraints. A local search algorithm and a new heuristic algorithm are then employed to solve the model. Finally we show anexample to demonstrate our framework. The preliminary test results show that the framework could be useful. |