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|Title: ||縣市政府橋梁檢測分類與分級之研究;Classifying and rating of bridges of local governments for bridge inspection|
|Keywords: ||臺灣地區橋梁管理資訊系統;橋梁定期檢測;橋梁分類與分級;縣市政府橋梁;Taiwan bridge management system;bridge inspection;classifying bridge;rating of bridge;bridges of local government|
|Issue Date: ||2014-10-15 17:28:17 (UTC+8)|
;Many bridges in Taiwan collapsed due to typhoons and torrential rains. Historical bridge inspection data recorded in the Taiwan Bridge Management System (TBMS) are often checked and discussed to explore reasons of failure. However, the “Validation of bridge inventory data in TBMS” project, executed by National Central University and funded by the Institute of Transportation Ministry of Transportation and Communications (MOTC) in 2010, reported that the accuracy of bridge inspection data were lower than that of inventory data. Thus, MOTC plans to enforce a new and detailed bridge inspection process after 2015, i.e., bridge is inspected component by component by portable devices, in order to improve the completeness and accuracy of inspection data.
Therefore, government bridge management agencies will need to increase the inspection budgets to fulfill the new inspection requirements. Since current bridge maintenance regulations require a bridge be inspected at least once per two years, for those agencies which manage large amount of bridges may not have enough budgets to meet such inspection regulation. Therefore, prioritization by classifying and rating of bridges becomes necessary under limited budget. This research conducted expert interviews to obtain appropriate bridge classification criteria. There are six classes of bridge identified based on three factors: (1) crossing on a river, (2) pier existing in the river, and (3) level of road the bridge is on. This research further assigned a bridge with one of four kinds of inspection frequency based on deterioration condition and age of the bridge. The longest inspection frequency is once per four years for a bridge in relatively good condition.
After classifying and rating of bridges, it is found that approximately 37% of inspection workload and 18% of inspection budgets can be saved for all the counties. However, very few counties need to increase their inspection budgets due to many bridges are rated at higher frequency of inspection. This research provides an effective means to classify bridges and also offers a rating standard for bridge inspection. Such mechanism can serve as a useful reference for bridge management agencies of local governments.
|Appears in Collections:||[營建管理研究所 ] 博碩士論文|
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