橋樑維護之功用在於確保橋梁結構工作性，提升整體服務功能；隨著台灣地區橋梁建設趨於飽和，橋梁重點由新建轉成維護。橋梁維護即成為一重要且刻不容緩的問題。

生命週期維護成本一直為多數維護策略評選模式之唯一目標與重點，本研究嘗試以權衡橋梁性能與維護成本兩者為目標，考量橋梁之狀況指標、安全指標與生命週期維護成本三種決策目標於橋梁生命週期中的權衡，並結合定期式的主動維護與必要性的被動維護兩種維護方式，來決定最佳之維護策略。

本研究以多目標質群演算法尋找於橋梁生命週期中之最佳維護作用時間點，其中包含生命週期中第一次維護時間與第一次維護後之間隔維護時間。並以蒙地卡羅模擬將橋樑生命中狀態指標劣化行為與維護經費等不確定性風險加入模式中，使評選指標能更貼近真實情況。

由於結合電腦模擬與多目標質群演算需要耗費大量計算時間，本研究使用平行分散式系統來解決此問題，利用多台多核心電腦處理器分散計算量，嘗試以主從式、分群式與滲透式多種精英解傳遞方式縮短程式計算時間，得以在較短時間之下取得較為嚴謹之數據。

多目標最佳化問題為一妥協解所組成，在本研究架構所建立的評選模式下，將提供在不同維修預算所對應之狀況指標與安全指標以表示橋梁之性能狀態，在三種評選目標上形成一條柏拉圖前緣，使決策者能依照評選模式之結果進行權衡分析，提供更具彈性的決策參考。並在最後以案例來驗證本模式之效率與有效性。

Making an efficient maintenance plan with limited funding is the toughest segment for the bridge management organization. Since the bridge structure is very complicated and the maintenance process is multiform and full of uncertainty, adopting a suitable strategy for bridge maintenance is not only an interesting but also a critical problem. Conventionally, the bridge maintenance usually goes with the criterion which is called “Fix it while it is damaged!” Such a manner not only raises the risks of the users, but also causes a huge waste in social resource and funding. For the reasons above, the bridge maintenance strategy must be reformed to save the maintaining cost and provide a reliable safeguard.
Most bridge maintenance system models are established to minimize the life-cycle maintaining cost of the deteriorating bridges. In this study, we propose a novel strategy to build the bridge maintaining model from a different viewpoint. Based on the tradeoff between bridge performance and maintenance cost, we consider the risks associated with bridge deterioration and maintenance cost. With this approach, the proposed bridge maintaining model can be more realistic and more flexible.
In our framework, we consider the tradeoff between bridge condition index, safety index, and maintenance cost in life-cycle. The maintaining strategy is made by combining both active and passive maintenance. By different maintaining strategies, the parallel framework incorporates a Multi-Objective Particle Swarm Optimization used as the search engine to find the optimal maintenance time in life-cycle. Moreover, with the Monte-Carlo simulation, the uncertainty risk of bridge deterioration and maintaining cost are incorporated into the framework.
Available optimization models can be used to generate optimal tradeoffs, however their application in optimizing large-scale project is limited due to their extensive and impractical computational time requirements. In this study, we develop three types of message-passing parallel framework to slove this limitation and compare their efficiency.
With the time-varying bridge performance indices, the proposed bridge maintaining strategy can provide proper condition index and safety index with different maintenance budget. For the decision maker, the bridge maintaining strategy is no longer being limited with minimizing the cost. Depending on the relative importance, the managers may place on various objectives under consideration, which provide much more flexibility to select the final compromise maintenance solution. At last, a practical example is used to validate the result of model.

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