請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44589完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 羅俊雄 | |
| dc.contributor.author | Yi-Cheng Wu | en |
| dc.contributor.author | 吳宜錚 | zh_TW |
| dc.date.accessioned | 2021-06-15T03:51:28Z | - |
| dc.date.available | 2010-07-16 | |
| dc.date.copyright | 2010-07-16 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-07-13 | |
| dc.identifier.citation | [1] A.K. Chopra, “Dynamics of structures: Theory and applications to earthquake engineering,” 3rd edition, Prentice Hall, Upper Saddle River, New Jersey, 2007.
[2] Andrea Brasiliano , Graciela N. Doz and Jose' Luis V. de Brito, “Damage identification in continuous beams and frame structures using the residual error method in the movement equation , ” Nuclear Engineering and Design, Vol. 227, No. 1 , pp. 1-17, January 2004. [3] A.N. Ng’andu, C. H. J. Fox, and E. G. Williams, “On the estimation of rotational degrees of freedom using spline functions,” Proceedings of the International Modal Analysis Conference-IMAC 13th, pp. 791–797, 1995. [4] C.C. Chu and M.H. Milman, “Eigenvalue error analysis of viscously damped structures using a Ritz reduction method,” Journal of AIAA, Vol. 30, No. 12, pp. 2935-2944, December 1992. [5] C. H. Loh and J. H. Weng, “ Damage detection using stochastic subspace identification with partial measurements,” Proceedings of 7th international workshop on structural health monitoring, Stanford, California, 2009. [6] D. C. Zimmerman and M. Kaouk, “Structural damage detection using a minimum rank update theory,” Journal of Vibration and Acoustics, Vol. 116, No. 2, pp. 222-231, April 1994. [7] E.G. Williams, and J.S. Green, “A spatial curve fitting technique for estimating rotational degrees of freedom,” Proceedings of the International Modal Analysis Conference-IMAC 8th, pp. 376–381, 1990. [8] J.C. O’Callahan, P. Avitavle, and R. Reimer, “System equivalent reduction expansion process (SEREP),” Proceeding of 7th international Modal Analysis, pp. 29-37, 1989. [9] J.H. Weng, C.H. Loh and J.N. Yang, “Experimental study of damage detection by data-driven subspace identification and finite-element model updating, ” Journal of Structural Engineering, , Vol. 135, No.12, pp. 1533-1544, December 2009. [10] J.N. Juang and R.S. Pappa, “An eigensystem realization algorithm for modal parameter identification and model reduction,” Journal of Guidance Control and Dynamics, Vol. 8, No. 5, pp. 620-627, October 1985. [11] K.V. Yuen, “Efficient model correction method with modal measurement,” Journal of Engineering Mechanics, Vol. 136, No. 1, pp. 91-99, January 2010. [12] R. Brincker, L. Zhang, and P. Andersen, “Modal identification of output-only systems using frequency domain decomposition,” Smart Materials and Structures, Vol. 10, No. 3, pp. 441-445, June 2001. [13] L.R. Barroso, and R. Rodriguez, “Damage detection utilizing the damage index method to a benchmark structure,” Journal of Engineering Mechanics, Vol.130, No.2, pp. 142-151, February 2004. [14] M. I. Friswell, and J. E. Mottershead, “Finite Element Model Updating in Structural Dynamics,” Kluwer Academic, Boston, 1995. [15] M. Imregun , and D.J. Ewins , “An investigation into modeshape expansion techniques,” Proceedings of the International Modal Analysis Conference-IMAC 11th, pp. 168-175, February 1993. [16] M. Kaouk and D.C. Zimmerman, “Structural damage assessment using a generalized minimum rank perturbation theory,” Journal of AIAA, Vol. 32, No. 4, pp. 836-842, April 1994. [17] M. Levine-West, M. Milman, and A. Kissil, “Mode shape expansion techniques for prediction: experimental evaluation,” Journal of AIAA, Vol. 34, No.4, pp. 821-829, April 1996. [18] R.L. Kidder, “Reduction of structural frequency equations,” Journal of AIAA, Vol. 11, No.6, pp. 892, June 1973. [19] R.J. Guyan, “Reduction of stiffness and mass matrices,” Journal of AIAA, Vol. 3, No.2, pp.380, February 1965. [20] P.A.Tarazaga, Y.Halevi, D.J.Inman, “Modified quadratic compression method for mass and stiffness updating,” Mechanical Systems and Signal Processing, Vol.23, No.6, pp. 1773-1783, August 2009. [21] S.L.J. Hu, H. Li and S. Wang, “Cross-model cross-mode method for model updating,” Mechanical Systems and Signal Processing, Vol.21, No.4, pp. 1690-1703, May 2007. [22] S.W. Doebling, “Minimum-rank optimal update of elemental stiffness parameters for structural damage identification, ” Journal of AIAA, Vol. 34, No. 12, pp. 2615-2621, December 1996. [23] S.S.Law., Z.Y.Shi and L,M,Zhang, “Structural damage detection from incomplete and noisy modal test data,” Journal of Engineering Mechanics, Vol. 124, No.11, pp. 1280-1288, November 1998. [24] T.D.Burton, C.R.Farrar and S.W.Doebling, “Two Methods for Model Updating Using Damage Ritz Vectors, “Proceedings of the International Modal Analysis Conference-IMAC 16th, pp. 973-978, February 2-5 1998. [25] Y.B. Yang and Y.J. Chen, “A new direct method for updating structural models based on measured modal data,” Journal of Engineering Structures, Vol.31, No.1, pp.32-42, January 2009. [26] Y. Halevi, C. A. Morales, and D. J. Inman, “Combined expansion and orthogonalization of experimental modeshapes,” Journal of Vibration and Acoustics, Vol. 127, No.2, pp. 188-196, April 2005. [27] Z.Y. Shi, X.H. Dingm, and H.Z. Gu, “A new model reduction and expansion method, ” International Conference on Structural Dynamics, Vibration , Noise and Control, Hong Kong Polytechnic University, Hong Kong, pp. 847-852, 1995. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44589 | - |
| dc.description.abstract | 本文主要目的為在有限量測條件下,利用模型更新法進行結構物損壞識別。全文可分為三大部份:第一,利用模態擴展法重建未量測自由度之振態。第二,利用模型更新法修正已建立之有限元素模型。第三,引入一個具有物理意義之損壞指標,使得損壞位置及損壞程度能夠同時成功識別。
藉由一個考慮不同量測及不同破壞位置之線性八自由度系統,可驗證當選用合適的權重係數(weighting coefficient)時,模態擴展法可有效重建未量測自由度之振態。 此外,利用此數值模擬模型,本文亦比較了五種基於模型更新原理的損壞識別法。模擬結果顯示,使用完全正確的模態時,各方法皆能成功識別損壞。但當使用擴展後之模態時,有效模型修正法(EMCM)則具有較佳之表現。 最後,本文透過一個在台灣國家地震中心(NCREE)的六層樓鋼構架之振動台實驗,驗證提出的損壞識別法。實驗結果顯示有效模型修正法的確適用於實際應用上。 本文透過數值模擬及實驗皆驗證在有限量測條件下,利用模態擴展和模型更新法並配合損壞指標,可有效識別損壞位置及損壞程度。 | zh_TW |
| dc.description.abstract | The purpose of this research is to employ the model updating technique to conduct the structural damage detection with insufficient measurements. In this study, a three stage damage detection algorithm is investigated. First, a mode shape expansion (MSE) technique is implemented to compensate the deficiency of insufficient measurements. Second, the model updating approach is introduced to correct the parameters of the FE model by using the measurement data. Third, a physical meaning damage index is adopted to locate and quantify damage simultaneously.
To investigate the effectiveness of the proposed MSE technique and model updating approaches, numerical studies with three types of sensor distributions and five damage scenarios were investigated. It can be seen that when the weighting coefficient of the proposed MSE technique is properly selected, the ability of reconstructing the mode shape is appreciated. In cooperated with the MSE, five damage detection techniques based on the concept of model updating are investigated in this study: (1) Improved Damage Ritz Vector Method (IDRVM), (2) Minimum Rank Perturbation Theory (MRPT), (3) Modified Quadratic Compression Method (MQCM), (4) Efficient Model Correction Method (EMCM), and (5) Ratios of Stiffness to Mass Approach (RSMA). Numerical studies were investigated on all damage detection techniques. It can be observed that if the exact mode shapes can be reconstructed, then damage detection methods can performance well. Through these studies, EMCM has the best performance to damage detection by adopting the expanded mode shapes. Data collected from the shaking table test of a six-story steel frame structure at National Center for Research on Earthquake Engineering in Taiwan (NCREE) were used to verify the applicability of the EMCM damage detection technique. The study concludes that damage detection through mode shape expansion is possible if the expanded mode shapes are consistent with the exact mode shapes. Among all the damage detection methods, the Efficient Model Correction Method can provide good results of damage detection. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T03:51:28Z (GMT). No. of bitstreams: 1 ntu-99-R97521218-1.pdf: 10760044 bytes, checksum: ec918bec6ce03f090268fa488297f379 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | ACKNOWLEDGEMENT I
ABSTRACT (in Chinese) II ABSTRACT (in English) III CONTENTS V LIST OF TABLES VIII LIST OF FIGURES IX CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Literature Review 2 1.3 Research Scope and Objectives 5 CHAPTER 2 GENERAL DESCRIPTION OF MODE SHAPE EXPANSION TECHNIQUE 7 2.1 Basic Structural Dynamics 8 2.2 Mode Shape Expansion (MSE) 10 2.2.1 Stochastic Subspace Identification (SSI) 11 2.2.2 Algorithm of MSE 12 2.3 Simulation Model 16 2.3.1 Idealized Shear-Building Model 16 2.3.2 Simulation Example 17 2.3.3 Sensor Distributions and Damage Scenarios 18 2.3.4 Investigations of the Performance of MSE 20 2.3.4.1 Error Indices 20 2.3.4.2 Investigations of Weighting Coefficient 23 2.4 Practical Applications 23 2.5 Chapter Summary 25 2.6 Nomenclature 26 CHAPTER 3 DAMAGE DETECTION THEORIES: FINITE ELEMENT MODEL UPDATING 27 3.1 The Concept of Perturbation 28 3.2 Improved Damage Ritz Vector Method (IDRVM) 30 3.2.1 DRV in Cooperated with MSE 30 3.2.2 DRV Based Model Updating 33 3.2.3 IDRVM 35 3.3 Minimum Rank Perturbation Theory (MRPT) 36 3.4 Modified Quadratic Compression Method (MQCM) 39 3.5 Efficient Model Correction Method (EMCM) 42 3.6 Ratios of Stiffness to Mass Approach (RSMA) 48 3.7 Damage Index 51 CHAPTER 4 NUMERICAL STUDY AND EXPERIMENTAL VALIDATION 53 4.1 Numerical Study 53 4.1.1 Damage Detection by IDRVM 54 4.1.2 Damage Detection by RSMA 55 4.1.3 Damage Detection by MRPT, MQCM and EMCM 56 4.1.4 Concluding Remarks 58 4.2 Experiment Validation 59 4.2.1 Experiment Setup 59 4.2.2 Sensor Distributions and Damage Scenarios 60 4.2.3 Damage Detection 61 4.2.3.1 Investigations of Weighting Coefficient 62 4.2.3.2 Damage Identification 62 CHAPTER 5 CONCLUSIONS AND RECOMMENDATIONS 65 5.1 Research Conclusions 66 5.2 Recommendations for Future Work 67 REFERENCES 69 APPENDIX A IDENTIFIED RESULTS 118 | |
| dc.language.iso | en | |
| dc.subject | 損壞指標 | zh_TW |
| dc.subject | 有限量測 | zh_TW |
| dc.subject | 模態擴展 | zh_TW |
| dc.subject | 系統識別 | zh_TW |
| dc.subject | 模型更新 | zh_TW |
| dc.subject | 損壞識別 | zh_TW |
| dc.subject | model updating | en |
| dc.subject | damage index | en |
| dc.subject | damage detection | en |
| dc.subject | insufficient measurement | en |
| dc.subject | mode shape expansion | en |
| dc.subject | system identification | en |
| dc.title | 利用模態擴展及模型更新法:進行結構損壞識別 | zh_TW |
| dc.title | Damage Detection Using Mode Shape Expansion and
Finite Element Model Updating | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 呂良正,蔡克銓 | |
| dc.subject.keyword | 有限量測,模態擴展,系統識別,模型更新,損壞識別,損壞指標, | zh_TW |
| dc.subject.keyword | insufficient measurement,mode shape expansion,system identification,model updating,damage detection,damage index, | en |
| dc.relation.page | 130 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-07-13 | |
| 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 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-99-1.pdf 未授權公開取用 | 10.51 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
