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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 羅俊雄 | |
dc.contributor.author | Chien-Min Chang | en |
dc.contributor.author | 張見民 | zh_TW |
dc.date.accessioned | 2021-06-13T02:15:22Z | - |
dc.date.available | 2007-04-03 | |
dc.date.copyright | 2007-04-03 | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007-03-15 | |
dc.identifier.citation | 參考文獻
[1] Y. K. Wen, “Method for Random Vibration of Hysteretic Ssystems,” Journal of the Engineering Mechanics Division, ASCE, Vol. 102, No. EM2, Proc. Apr. 1976, pp. 249-263. [2] T. T. Baber, and Y. K. Wen, “Random Vibration of Hysteretic, Degrading Systems,” Journal of the Engineering Mechanics Division, ASCE, Vol. 107, No. EM6, Dec. 1981, pp. 1069-1087. [3] T. T. Baber, and M. N. Noori, “Random Vibration of Degrading Pinching Systems, ” Journal of Engineering Mechanics, Vol. 111, No. 8, August 1985, pp. 1010-1026. [4] N. Mostaghel, “Analytical Description of Pinching, Degrading Hysteretic Systems,” Journal of Engineering Mechanics, Vol. 125, No. 2, February 1999, pp. 216-224. [5] R. H. Sues, S.T. Mau, and Y. K. Wen, “Systems Identification of Degrading Hysteretic Restoring Forces, ” Journal of Engineering Mechanics, Vol. 114, No. 5, May 1988, pp. 833-846. [6] M. Hoshiya, and E. Saito, “Structural Identification By Extended Kalman Filter, ” Journal of Engineering Mechanics, ASCE Vol. 110, No. 12, December 1984, pp. 1757-1770. [7] C. L. Loh, and S. T. Chung, “A Three-Stage Identification Approach for Hysteretic Systems, ” Earthquake Engineering and Structural Dynamics, Vol. 22, Feb. 1993, pp. 129-150. [8] Y. Suzuki, and M. Noori, “Identification of hysteretic systems with slip using bootstrap filter,” Mechanical Systems and Signal Processing, Vol. 18, 2004, pp. 781-795. [9] P. Caravani, M. L. Watson, and W. T. Thomson, “Recursive Least-Square Time Domain Identification of Structural Parameters,” Journal of Applied Mechanics, ASME, March 1977, pp. 135-140. [10] D. J. Mook, and J. L. Junkins, “Minimum Model Error Estimation for Poorly Modeled Dynamic Systems,” AIAA, Journal of Guidance, Vol.11, No. 3, 1988, pp. 256-261 [11] D. J. Mook, “Estimation and Identification of Nonlinear Dynamic Systems,” Journal of AIAA, Vol. 27, No. 7, 1989, pp. 968-974. [12] D. J. Mook, and J. S. Lew, “A Robust Algorithm For System Realization/Identification,” The Journal of the Astronautical Sciences, Vol. 38, No. 2, April-June 1990, pp. 229-243. [13] D. J. Mook, and J. S. Lew, “Multiple Shooting Algorithms for Jump-Discontinuous Problems in Optimal Control and Estimation,” IEEE Transactions on Automatic Control, Vol. 36 No. 8, August 1991, pp. 979-983. [14] L. Ge, and T. T. Soong, “Damage Identification Through Regularization Method. I: Theory,” Journal of Engineering Mechanics, Vol. 124, No. 1, January 1998, pp. 103-108 [15] L. Ge, and T. T. Soong, “Damage Identification Through Regularization Method.Ⅱ: Applications,” Journal of Engineering Mechanics, Vol. 124, No. 1, January 1998, pp. 109-116. [16] G. I. Stry, and D.J. Mook, “An Experimental Study of Nonlinear Dynamic System Identification,” Nonlinear Dynamics 3, 1992, pp. 1-11. [17] L. Ge, T. J. Meyer, D. J. Mook, and T. T. Soong, “Damage Assessment through Nonlinear Structural Identification,” Safety Evaluation Based On Identification Approaches, vieweg. [18] H. P. Geering, “Continuous-time optimal control theory for cost functionals including discrete state penalty terms,” IEEE Trans. Automat. Cont., Vol. AC-21, 1976, pp. 866-869. [19] H. B. Keller, “Numerical solution of two-point boundary value problems,” Regional Conf. Series in Applied Math., No. 24, SIAM, Philadelphia, PA, 1976. [20] U. M. Ascher, R. M. M. Mattheij, and R. D. Russel, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. Englewood Cliffs, NJ: Prentice-Hall, 1988. [21] P. Henrici, Discrete Variable Methods in Ordinary Differential Equations. New York: Wiley, 1962. [22] M. R. Osborne, “On Shooting Methods for Boundary Value Problems,” J. Math. Anal. Appl., Vol. 27, 1969, pp. 417-433. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30777 | - |
dc.description.abstract | 當結構物受到強震作用時,結構系統經常會進入非線性,產生遲滯行為,此時就再以線性系統來描述就失去意義了。必須以非線性系統的識別方法來處理。一般的非線性系統識別常常是先假設非線性的模型,再進行未知模型參數的識別。
本文所提出的方法並不需要先假設非線性模式,而是先以結構物在線性時的量測資料,識別出結構系統在線性時的阻尼與勁度,再將運動方程式改寫成狀態空間表示法,以狀態向量來表示結構系統的反應歷時,並加入非線性項修正。使用強震時的量測輸入地震歷時和結構系統反應輸出,最小化所定義的代價泛函數,同時檢核是否滿足協方差約束條件,求得真實的狀態與非線性歷時的估計值。最後選擇適合的模型並識別其未知參數。 | zh_TW |
dc.description.provenance | Made available in DSpace on 2021-06-13T02:15:22Z (GMT). No. of bitstreams: 1 ntu-96-R90521246-1.pdf: 1689608 bytes, checksum: 95f78cfd2de32f1c37bc663bb0fb6501 (MD5) Previous issue date: 2007 | en |
dc.description.tableofcontents | 目 錄
口試委員會審定書………………………………………………… i 誌謝………………………………………………………………… ii 中文摘要…………………………………………………………… iii 第一章 導論……………………………………………………… 1 1.1 研究動機………………………………………………… 1 1.2 文獻回顧………………………………………………… 2 1.3 本文內容………………………………………………… 4 第二章 最小模型誤差法………………………………………… 5 2.1 空間表示法……………………………………………… 5 2.2 最小模型誤差法之步驟………………………………… 6 2.3 博爾查問題……………………………………………… 7 2.4 最小化代價泛函數……………………………………… 8 2.5 多重射擊理論…………………………………………… 14 第三章 實例分析………………………………………………… 20 3.1 實例一:單自由度系統(具三次的非線性項)…… 20 3.2 實例二:單自由度系統(文模型)………………… 29 3.3 實例三:多自由度系統(文模型)………………… 33 3.4 實例四:單層樓鋼筋混凝土構架振動台實驗……… 37 第四章 結論與展望……………………………………………… 46 4.1 結論…………………………………………………… 46 4.2 展望…………………………………………………… 47 參考文獻…………………………………………………………… 48 附表………………………………………………………………… 51 附圖………………………………………………………………… 56 | |
dc.language.iso | zh-TW | |
dc.title | 時間域非線性結構系統識別 | zh_TW |
dc.title | System Identification of Non-linear Structure in Time Domain | en |
dc.type | Thesis | |
dc.date.schoolyear | 95-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 田堯彰,黃震興 | |
dc.subject.keyword | 非線性結構,系統識別,時間域,最小模型誤差法,狀態空間表示法,代價泛函數, | zh_TW |
dc.subject.keyword | Bolza problem,Euler-Lagrange Equations,Multiple Shooting Algorithm,Minimum Model Error,TPBVP, | en |
dc.relation.page | 84 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2007-03-20 | |
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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