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  • 學位論文

風險管理在橋梁安全預警之應用-以東勢大橋為例

Application of Risk Assessment on Bridge safety for Dung-Shih Bridge

指導教授 : 王安培

摘要


台灣的洪水災害相當嚴重,對橋梁的影響甚鉅,若僅使用水位高度來做封橋標準並不實用。因此,本文提出一套橋梁風險的封橋決策,結合高科技橋梁即時監測系統,提出完整的橋梁預警方法。 本文主要的研究案例為位於台中縣大甲溪上的東勢大橋,資料收集以西元2000-2009的水文資料為主。首先利用適應性網路架構模糊推論系統理論來預測東勢大橋的流量,推求東勢大橋未來一到三小時的流量,並將決策因子作風險等級的劃分,接下來對沖刷深度與水文資料做相關性分析,期望對基礎裸露橋樑的橋梁安全有所貢獻。

並列摘要


Disaster caused by flood is a very serious problem in Taiwan, and it often bring severe impact by floods, especially for the bridge . We usually use water level as the standard for blocking bridge in the past. In this paper, we issue a new blocking bridge decision for the risk of a bridge, it could provide a more completely method for bridge early warning which combined with high-tech bridge real-time monitoring system. The case for Dung-Shih Bridge is mainly applied in this study. The data for invading typhoon is collected from 2000 to 2009. At first, we use the discharge forecasting system which was developed to estimate Dung-Shih bridge flow for two-steps ahead by using adaptive neuro-fuzzy inference system(ANFIS). Next, disaster risk management is used to be the assessment of the degree of safety bridges by three factors herein. Finally, we make the standard operating procedure(SOP) of real-time monitoring system of Dung-Shih Bridge. This study is expected to be useful for safety warming system of bridges in the future.

參考文獻


王安培,鄭博文 (1998), “模糊決策在水庫操作之應用”, 第六屆FUZZY理論與應用研討會 , 朝陽科大.
王安培, 林正道 (2001), “土石流危險度之模糊迴歸分析和綜合評判”, 第十二屆水利工程研討會 pp.J14-J21. , 成功大學.
王安培,林建成 (2003), “應用類神經網路於二維橋樑之非破壞檢測”, 第27屆全國力學研討會 pp.107-115. , 國立成功大學.
張斐章、張雅婷、張麗秋(2004),「結合人工智慧與專家知識之智慧型水庫操作系統」,農業工程學報,第50卷,第4期,第 14~27頁。
張大元,黃俊傑,王安培 (2004), “類神經網路在水庫放流對河川水位增量之研究”, 第十四屆水利工程研討會 , 交通大學.

被引用紀錄


紀昀(2013)。輻狀基底函數類神經網路結合遺傳演算法於河川水位預測之應用〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/CYCU.2013.00388

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