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研究生：	張恭綸 Jhang, Gong-Lun
論文名稱：	建築物應用Bouc-Wen模型之參數識別 Parametric Identification of Bouc-Wen Model Applied to Buildings
指導教授：	洪李陵 Hong, Li-Lin
學位類別：	碩士 Master
系所名稱：	工學院 - 土木工程學系 Department of Civil Engineering
論文出版年：	2014
畢業學年度：	102
語文別：	英文
論文頁數：	101
中文關鍵詞：	Bouc-Wen模型、遲滯圈、系統識別、結構健康檢測
外文關鍵詞：	Bouc-Wen model, Hysteresis loop, System identification, Structural health monitoring
相關次數：	點閱：137 下載：1
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結構物在受到巨大外力作用時，其振動的行為通常為非線性，尤其當破壞產生時。Bouc-Wen 模型是一個被廣為運用的非線性模型，它能描述多種平滑的遲滯圈模式，本文的研究目的就在於利用Bouc-Wen模型來模擬建築物，接著近一步地提出一套參數識別的方法，本文使用的系統識別的方法是建立在量測反應與預測反應間的誤差平方和最小的方式進行。
在多自由度的模擬系統下，本研究提出的系統識別方法在完全量測的考量之下能相當準確地識別出Bouc-Wen參數，而於部分量測的情形，識別結果就相對較差，但仍在可被接受的精度。最後，本研究試著將這套系統識別方法應用於真實的基底隔震系統且部分量測，針對不同的事件個別識別出一套代表的系統參數，因參數於事件間變化不大，可判斷此隔震系統尚未破壞。

Structures normally vibrate with nonlinear behaviors when they are subjected to large loads due to nature hazards, especially when damage occurs. The Bouc-Wen model is one of the widely used models to describe smoothly nonlinear hysteretic behaviors. This research focuses on the parametric identification for buildings based on the Bouc-Wen model. The identification technique is carried out through fitting seismic data in a least-square sense.
For a simulated MDOF system, the proposed identification method is accurate in estimating the Bouc-Wen parameters at the case of complete measurement, but relatively worse at the case of partial measurement. Nevertheless, these results are still acceptable. Finally, for the case of an actual system with base isolators and partial seismic records, the isolators might have not damaged yet by observing the variation of identified results.

摘要 I
Abstract II
誌謝 III
Contents IV
List of Tables VI
List of Figures VII
Notations IX
Chapter 1 Introduction 1
1.1 Background and Motivation 1
1.2 Literature Review 2
1.3 Purposes of This Study 2
Chapter 2 Model and Methodology 4
2.1 Bouc-Wen Model 4
2.2 Numerical Responses for SDOF Systems 6
2.3 Numerical Responses for MDOF Systems 7
2.4 Identification Techniques 10
2.4.1 Modified Equation of Motion for Simulation and Identification 12
2.4.2 Initial Value Determination 16
Chapter 3 Identification for Simulated Data 25
3.1 Identification for Complete Simulated Data 25
3.1.1 Sensitivity Analysis 25
3.1.2 Identification for Time-Invariant System 26
3.2 Identification for Partial Simulated Data 27
3.2.1 Identification for Time-Invariant System 27
3.2.2 Piecewise Identification 29
Chapter 4 Identification for the Hualien Tzu Chi Hospital 58
4.1 Information for Seismic Data 58
4.2 Full Record Identification with Partial Measurements 59
4.3 Full Record Identification with SDOF System	60
Chapter 5 Conclusion 89
5.1 Summary 89
5.2 Suggestions for Future Research 89
Appendix A The Secant Method 91
Appendix B Locations of Accelerometers in Tzu Chi Hospital 92
References 100
                                    

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校內：2015-09-04公開
校外：2015-09-04公開

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