臺灣地區車行橋下部結構劣化與水系關聯性之研究;A Study on the correlation between deterioration of substructure of car bridges and water systems in Taiwan

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Title:	臺灣地區車行橋下部結構劣化與水系關聯性之研究;A Study on the correlation between deterioration of substructure of car bridges and water systems in Taiwan
Authors:	陳品翔;Chen, Pin-Shiang
Contributors:	土木系營建管理碩士班
Keywords:	橋梁;橋梁管理;橋梁管理系統;視覺化圖表;互動式儀錶板;Bridge;Bridge Management;Bridge Management System;Chart Visualization;Interactive Chart Panel
Date:	2021-07-30
Issue Date:	2021-12-07 11:01:02 (UTC+8)
Publisher:	國立中央大學
Abstract:	臺灣島型狹長，島上多南北走向高山與東西向河流，縱向交通線與橫向河流交會處所形成之眾多橋梁，為經濟發展之重要基礎設施。跨河橋梁之劣化來自於老化、超載，尤其是河流沖刷。因夏季之暴雨所帶來之巨大水量於短時間內經由坡度為3%-5%之河道流向大海，河流沖刷對橋梁造成嚴重損壞。目前已有大量研究在探討橋梁下部構件受河川沖刷影響，例如現地試驗、水工模型試驗、數學模擬等。第二代臺灣地區橋梁管理資訊系統已建立二萬五千餘座車行橋梁多年之維護管理資料，但尚未以系統化方式分析此大量資料中河川沖刷與橋梁下部構件劣化之關聯性。本研究針對第二代臺灣地區橋梁管理系統資料庫進行篩選、整理，進而分析臺灣地區車行橋梁下部結構劣化與水系之關聯特性。本研究利用視覺化圖表技術來製作互動式儀錶板，快速顯示臺灣118個水系地理位置與橋梁下部構件劣化之各種排列組合，並將橋梁下部構件之劣化數據依嚴重程度進行分級顯示，以找出易受河川沖刷之點位、水系及區域，以及利於管理之的隱藏資訊。本研究之成果將提供給橋梁管理單位作為橋梁維護管理決策之參考。;Taiwan is a long-shaped island with high north-south mountains and many east-west rivers. Longitudinal traffic lines cross with transversal rivers forming a large amount of bridges which are the most import infrastructures for economic development. These bridges deteriorate due to aging, over-loaded traffic, and especially serious river scouring problems due to an average of 3%-5% slope of rivers which carry huge amounts of water into the sea in a very short time from summer storms or torrential rains. There are many research efforts focus on these scouring problems, such as in situ tests, hydraulic model tests, and mathematical simulations. Deterioration of car bridges in Taiwan are recorded in the 2nd generation of the Taiwan Bridge Management System (TBMS2), which has a huge inventory of 25,000 bridge data including inspection and maintenance data for several years. However, there was no systematic statistic study for analyzing such big data the relationships between the deterioration of bridge substructures and rivers in various areas. Thus, this research is aimed at finding the characteristics of such deteriorations located in various rivers using big data approaches. Techniques of chart visualization and interactive chart panel are used to rapidly display the various combinations of deterioration of bridge substructures and the 118 river systems in Taiwan. Deteriorations of bridge substructures are classified based on severity to find out vulnerable locations, arears, river systems, and possible hidden information which are useful to bridge management. Results of this research will be provided to the bridge management agencies for reference in making decisions for bridge management.
Appears in Collections:	[Graduate Institute of construction engineering] Electronic Thesis & Dissertation

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