臺灣博碩士論文加值系統

鋼纜為斜張橋的主要受力構件，力量傳遞的必經途徑，橋體結構狀態因故發生變化，均會造成鋼纜索力的改變，因此，索力的變化可視為橋體狀態改變的重要指標。鋼纜因具有相當大的細長比，其振動頻率因此與內部索力息息相關，又鋼纜頻率的識別相對於主梁簡易，故藉由量測鋼纜的微振訊號，以求取斜張橋鋼纜的索力值，進而分析橋體的內應力狀態，並評估是否構件發生損傷，為斜張橋結構安全性評估的可行方式之一。本研究即藉由鋼纜微振訊號診斷斜張橋異常靜荷重之來源與程度，相關研究主要包含構件損傷敏感分析、異常荷載對鋼纜微振訊號的影響分析及訓練與測試倒傳遞類神經網路識別差異沉陷與非預測主梁靜荷重等靜態異常荷載之可行性。

To provide a supporting system for cable-stayed bridges, cable system always plays a decisive role among structural components. Thus, the internal force of cable system becomes an important as well as practical target being monitored because its change provides the profound information in diagnosing the unusual change of the structural system of cable-stayed bridges. In addition, in comparison with girder component, stay-cable component possesses larger slender ratio, which makes its ambient vibration more apparent and easy to be measured. Accordingly, it should be possible to develop the method for the evaluation of the structural safety of cable-stayed bridges, which mainly makes use of the measured ambient signal of cable vibration for the calculation of internal force of cable system, for the analysis of stress condition of bridge structure and for the damage recognition of structural components. In this study, the ambient signal of cable vibration was used to recognize the source and degree of unusual static load acting on cable-stayed bridges. At first, a sensitive study was performed to figure out the variation of cable force owing to several assumed damage types. Then, the structural analysis was made to point out the main difference of cable force as unusual static loads occur. Finally, a neural network was trained and tested to recognize the source and degree of the static loads.

中文摘要.......................i
英文摘要......................ii
誌謝.........................iii
目錄..........................iv
表目錄.......................vii
圖目錄.......................xii
符號說明...................xxiii
第一章 緒論..........................1
1.1研究背景與動機....................1
1.2研究目的與範圍....................2
1.3文獻回顧..........................3
1.4研究方法與流程....................7
第二章 斜張鋼纜振動特性..............11
2.1 概述 ............................11
2.2斜張鋼纜構件組成..................11
2.3斜張鋼纜的受力行為與分析模擬......13
2.4斜張鋼纜的振動分析................15
2.5斜張鋼纜索力之量測分析............19
2.6小結..............................23

第三章 異常加載或構件損傷之索力變化..26
3.1概述..............................26
3.2結構分析模型......................26
3.3橋體外加荷重......................28
3.4鋼纜系統索力變化特徵..............30
3.5環境背景資料量測分析..............33
3.6橋體震損之索力變化................40
3.7小結..............................43
第四章 倒傳遞類神經網路..............117
4.1類神經網路簡述....................117
4.2倒傳遞類神經網路..................119
4.3倒傳遞演算法的選擇與網路的架構....123
4.4類神經網路訓練與測試資料..........127
4.5 MATLAB之介紹.....................129
第五章 模擬診斷範例-集鹿斜張橋.......146
5.1訓練與測試數據的生成............. 146
5.2數據的準確性與可識別性說明........147
5.3單根鋼纜索力加入誤差量之網路識別的準確性與可識別性.................................150
5.4改變多根鋼纜改變量網路識別的準確性與可識別性....................................152
5.5模擬訊號消失與識別效果的準確性與可識別性....................................156
5.6識別效果的探討.....................157

第六章 結論與後續研究......205
6.1結論....................205
6.2後續研究................206
參考文獻...................207

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