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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 羅俊雄(Chin-Hsiung Loh) | |
dc.contributor.author | Tsai-Jung Kuo | en |
dc.contributor.author | 郭采蓉 | zh_TW |
dc.date.accessioned | 2021-06-17T03:15:54Z | - |
dc.date.available | 2020-07-18 | |
dc.date.copyright | 2018-07-18 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-07-05 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69445 | - |
dc.description.abstract | 本研究依據前人的研究成果,基於隨機子空間識別法(SSI)發展出一套唯輸出系統識別方法(Output-Only System Identification)應用於結構健康診斷(SHM)當中。以協方差型隨機子空間識別法(SSI-COV)做為識別方法的基礎,引入多個穩定標準(criteria)去除穩態圖(stabilization diagram)中不穩定的系統極點,並運用奇異值決定系統階數的選取範圍。如此一來,便可以增加識別結果的穩定性並減少由操作者主觀意識的不同而產生的誤差。此外,結合精緻頻域分解法(rFDD)區分結構模態與諧波(harmonic)。協方差型隨機子空間識別法由前述過程去除虛假模態與諧波模態後,即可獲得準確且穩定的模態參數。最後,再利用識別出來的模態參數建立柔度矩陣來偵測損壞位置。另外,再結合奇異譜分析法(SSA)與隨機遞減法(RDM)提出一種阻尼比的識別方式。本研究使用振動台試驗的試體(八層樓鋼構架)以及兩個實際結構(中保雲端數據中心大樓、關渡大橋)來進行驗證,由分析結果顯示,本文提出之方法能夠有效的識別出結構的模態參數並成功偵測損傷位置。 | zh_TW |
dc.description.abstract | This study is to develop an output-only system identification method using covariance-driven stochastic subspace identification (SSI-COV) for structural health monitoring (SHM). In applying SSI-COV for structural system identification the method does not yield exact values for the parameters but only estimates with uncertainties. These uncertainties are responsible for the appearance of spurious modes. One of the important challenge is to remove the spurious modes from which the stabilization diagram was introduced to remove unstable system poles. The quality of the stabilization diagram depends on the values of the input parameters of the algorithm and the noise ratio of the time series under analysis. Criteria to remove the spurious modes were proposed which include: examine the physical poles under a fix model order and check stabilization criteria between different modal order. Besides, the discussion on the identification of correct modes are presented by in cooperating the refined frequency domain analysis (rFDD) with SSI-COV method. Harmonic mode can also be detected from this examination. In cooperated with the identified accurate modal parameters the system flexibility matrix can be constructed and applied for structural damage assessment. In addition, combined with single spectrum analysis (SSA) and random decrement method (RDM), a more stable system damping ratio can be estimated. To verify the proposed algorithms, data from the shaking table of an eight-story steel structure and two actual structures (SIGMU Building and Guan-Du Bridge) were used for verification. The analysis results show that the method proposed in this paper can effectively and accurately identify the dynamic characteristics of structure under operating condition. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T03:15:54Z (GMT). No. of bitstreams: 1 ntu-107-R05521230-1.pdf: 17460674 bytes, checksum: 0432a1dbc5dded2103ef1d6ab9919f7e (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 口試委員會審定書
誌謝 i 中文摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vii 表目錄 xii 第1章 緒論 1 1.1 研究動機與目的 1 1.2 文獻回顧 2 1.3 研究架構與內容 3 第2章 隨機子空間識別法結合穩態圖穩定標準與頻域分解法 6 2.1 協方差型隨機子空間識別法(SSI-COV) 6 2.1.1 SSI-COV之穩態圖穩定標準 6 2.1.2 SSI-COV之使用者定義參數 10 2.2 頻域分解法 11 2.2.1 頻域分解法(FDD)理論及公式推導 12 2.2.2 精緻頻域分解法(rFDD)理論及公式推導 14 2.2.3 rFDD判別諧和模態 16 2.3 小結 17 第3章 損傷評估與阻尼比識別 18 3.1 結合柔度矩陣的結構損傷評估方法 18 3.2 阻尼比的識別 20 3.2.1 奇異譜分析法(SSA) 20 3.2.2 隨機遞減法(RDM) 25 3.2.3 小結 27 第4章 數值模擬之驗證與實驗結構之微振量測識別 28 4.1 雙自由度系統之模擬-驗證rFDD判別諧和模態 28 4.2 八層樓剪力鋼構架之微振量測識別 29 4.2.1 八層樓剪力鋼構架之實驗介紹 29 4.2.2 訊號前處理過程 29 4.2.3 系統識別結果 30 4.2.4 損傷位置識別 32 第5章 實際結構之系統識別 34 5.1 中保雲端數據中心大樓之系統識別 34 5.1.1 中保雲端數據中心大樓簡介與實驗儀器配置說明 34 5.1.2 訊號前處理過程 34 5.1.3 系統識別結果 35 5.2 關渡大橋之系統識別 37 5.2.1 關渡大橋簡介 37 5.2.2 關渡大橋之實驗儀器配置說明 37 5.2.3 訊號前處理過程 38 5.2.4 系統識別結果 38 第6章 結論及未來展望 41 6.1 結論 41 6.2 未來展望 43 參考文獻 44 附圖 48 附表 102 附錄 107 | |
dc.language.iso | zh-TW | |
dc.title | 應用隨機子空間識別法於結構健康診斷:結合穩態圖穩定標準與頻域分解法 | zh_TW |
dc.title | Application of Stochastic Subspace Identification in Structural Health Monitoring: Combining the Stabilization Diagram and Frequency Domain Decomposition | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 許丁友(Ting-Yu Hsu),張家銘(Chia-Ming Chang) | |
dc.subject.keyword | 結構健康診斷,唯輸出系統識別,隨機子空間識別法,頻域分解法,奇異譜分析法,隨機遞減法, | zh_TW |
dc.subject.keyword | structural health monitoring,output-only system identification,stochastic subspace identification,frequency domain decomposition,singular spectrum analysis,random decrement method, | en |
dc.relation.page | 113 | |
dc.identifier.doi | 10.6342/NTU201801252 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-07-05 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
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