Vibration-based damage detection in flexible risers using time series analysis

被引：0

作者：

Dept. of Civil and Earth Resources Eng., Kyoto University, Katsura Campus, Nishikyo-ku, Kyoto 615-8540, Japan ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Dept. of Civil and Earth Resources Eng., Kyoto University, Katsura Campus, Nishikyo-ku

[2] Deep Sea Technology Research Group, National Maritime Research Institute, Mitaka-shi, Tokyo 181-0004, 6-38-1, Shinkawa

[3] Marine Technology Research and Development Program, Marine Technology Center, JAMSTEC, Yokosuka 237-0061, 2-15, Natushima-cho

来源：

Doboku Gakkai Ronbunshuu A | 2007年 / 3卷 / 423-433期

关键词：

AR-ARX prediction model; Damage detection; Flexible riser; Time series analysis;

D O I：

10.2208/jsceja.63.423

中图分类号：

学科分类号：

摘要：

In this paper, a statistical pattern recognition method based on time series analysis is implemented in flexible risers. This method uses a combination of Auto-Regressive (AR) and Auto-Regressive with eXogenous inputs (ARX) prediction models. The flexible riser model used in this paper is experimentally validated employing a proposed numerical scheme for dynamic response of flexible risers. A modal-based damage detection approach is also implemented in the flexible riser model and its results are compared with the ones obtained from time series analysis. The numerical results show that the time series analysis presented in this paper is able to detect and locate structural deterioration related to fatigue damage in flexible risers. Finally, considering the case study results presented in this paper, the presented AR-ARX prediction model works better than the modal-based damage detection method.

引用

页码：423 / 433

页数：10

共 24 条

[11]

Juang J.N., Pappa R.S., An eigensystem realization algorithm for modal parameter identification and model reduction, Journal of Guidance, Control, and Dynamics, 8, pp. 620-627, (1985)

[12]

Stubbs N., Kim J.T., Farrar C.R., Field verification of a nondestructive damage localization and severity estimation algorithm, Proc. 13th International Modal Analysis Conference, (1995)

[13]

Farrar C.R., Jauregui D., Damage detection algorithms applied to experimental and numerical modal data from the I-40 bridge, Technical Report LA-13074-MS, Los Alamos National Laboratory, (1996)

[14]

Barroso L.R., Rodriguez R., Damage detection utilizing the damage index method to a benchmark structure, Journal of Engineering Mechanics, 130, 2, pp. 142-151, (2004)

[15]

Doebling S.W., Farrar C.R., Cornwell P.J., DIAMOND: A graphical user interface toolbox for comparative modal analysis and damage identification, Proc. 6th International Conference on Recent Advances in Structural Dynamics, (1997)

[16]

Sohn H., Farrar C.R., Hemez F.M., Shunk D.D., Stinemates D.W., Nadler B.R., A review of structural health monitoring literature: 1996-2001, Technical Report LA-13976-MS, Los Alamos National Laboratory, (2003)

[17]

Sohn H., Farrar C.R., Hunter N.F., Worden K., Structural health monitoring using statistical pattern recognition techniques, Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, 123, 4, pp. 706-711, (2001)

[18]

Neumaier A., Schneider T., Estimation of parameters and eigenmodes of multivariate autoregressive models, ACM Transactions on Mathematical Software, 27, 1, pp. 27-57, (2001)

[19]

Senga H., Koterayama W., An experimental and numerical study on vortex-induced vibrations of a hanging flexible riser with its top in irregular motion, International Journal of Offshore and Polar Engineering, 15, 4, pp. 274-281, (2005)

[20]

Koterayama W., Nakamura M., Wave forces acting on a moving cylinder, Journal of Offshore Mechanics and Arctic Engineering, 110, pp. 315-319, (1988)

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