類神經網路於台灣省道橋梁橋梁檢測資料分析及劣化預測之研究

The Study of Neural Network on Data Analysis and Deterioration Forecast of Highway Bridges in Taiwan

陳克劼(Ke-chieh Chen)

指導教授 ： 李有豐

國立臺北科技大學/工程學院/土木與防災研究所/碩士(2007年)

https://doi.org/10.6841/NTUT.2007.00043

摘要

道路的興建縮短了兩地交通的時程，促進了經濟的繁榮，而橋梁的架設則跨越障礙連結遭阻隔兩地的道路進而擴大了活動的範圍，橋梁在交通運輸網路是非常重要的組成構件，省道橋梁亦是如此。在臺灣地區橋梁受人為外力及天然災害的機率頻繁，各橋梁主管單位普遍人力不足，每年編列之維修經費有限，因此劣化情形相當嚴重，而橋梁一旦中斷無法提供服務時，其將增加之社會成本相當可觀，因此在過去十幾年來政府投入相當多之人力及經費在橋梁維護上，也建立了橋梁管理系統協助橋梁管理機關進行橋梁維護管理，而橋梁檢測資料亦是其中一項之重要資訊。本研究嘗試以公路總局轄下部份的省道橋梁檢測資料及已知相關基本資料，應用類神經網路為分析工具，建立起省道橋梁劣化因素與劣化情形的因果關係，初步瞭解省道橋梁未來的劣化趨勢，期能在日後的橋梁檢測及橋梁維護時，能及早因應並作妥善處理，以達到節省人力，物力，讓資源有效利用，並期能對本人服務的單位有所貢獻。

關鍵字

省道橋梁 ； 類神經網路 ； 橋梁檢測

並列摘要

The highway bridges contributes to shortening the traffic time and distance between two sites and promotes economic development; the construction of bridges, on the other hand, removes barriers and expands the area for human activities. Bridges, including those of provincial highways, are very important components of the traffic network. Bridges in Taiwan area are often exposed to damage by external forces as well as natural disasters, and bridge administration agencies have experienced problems such as manpower shortages and insufficient annual budgeting for maintenance. As a result, the degradation and deterioration of infrastructure continue. Given that more added social costs need to be incurred if bridges fail to provide services, the government in Taiwan has invested considerable human and financial resources on bridge maintenance during the past decade and has established a bridge administration system to assist the work of authorized agencies. Bridge inspection data is one of the key indicator sources of information. This study attempts to make use of data and known basic information concerning the inspection of provincial bridges by adopting neural networking as the analytical tool for the acquisition of causal relationships between degradation and its effects, to initially understand future degradation patterns of provincial bridges. It is expected that research results will serve as reference for early response and proper treatment of bridge inspection and maintenance by the Directorate for whom I have been working, in order to save manpower and materials by the most effective use of resources.

並列關鍵字

Highway Bridges ； Neural networks ； Bridge inspection

參考文獻

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