Sensitivity analysis; Damage localization; Parameter evaluation; Principal component analysis; Frequency response function; Model updating
Abstract :
[en] Principal component analysis (PCA) is known as an efficient method for dynamic system identification and diagnosis. This paper addresses a damage diagnosis method based on sensitivities of PCA in the frequency domain for linear-form structures. The aim is not only to detect the presence of damage, but also to localize and to evaluate it. The Frequency response functions measured at different locations on the beam are considered as data for the PCA process. Sensitivities of principal components obtained from PCA to beam parameters are computed and inspected according to the location of sensors; their variation from the healthy state to the damaged state indicates damage locations. The damage can be evaluated next providing that a structural model is available; this evaluation is based on a model updating procedure. It is worth noting that the diagnosis process does not require a modal identification achievement. Both numerical and experimental examples are used for better illustration.
Disciplines :
Mechanical engineering
Author, co-author :
Nguyen, Viet Ha ; Université de Liège - ULiège > Doct. sc. ingé. (aérosp. & méca. - Bologne)
Golinval, Jean-Claude ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Language :
English
Title :
Localization and quantification of damage in beam-like structures using sensitivities of principal component analysis results
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Huynh, D., He, J., Tran, D., Damage location vector: A non-destructive structural damage detection technique (2005) Computers and Structures, 83 (28-30 SPEC. ISS.), pp. 2353-2367. , DOI 10.1016/j.compstruc.2005.03.029, PII S0045794905002464
Koh, B.H., Ray, L.R., Localisation of damage in smart structures through sensitivity enhancing feedback control (2003) Mechanical Systems and Signal Processing, 17 (4), pp. 837-855
Gomes, H.M., Silva, N.R.S., Some comparisons for damage detection on structures using genetic algorithms and modal sensitivity method (2008) Applied Mathematical Modelling, pp. 2216-2232
Bakir, P.G., Reynders, E., De Roeck, G., Sensitivity-based finite element model updating using constrained optimization with a trust region algorithm (2007) Journal of Sound and Vibration, 305 (1-2), pp. 211-225. , DOI 10.1016/j.jsv.2007.03.044, PII S0022460X07002337
Yan, A., Golinval, J.-C., Structural damage localization by combining flexibility and stiffness methods (2005) Engineering Structures, 27 (12 SPEC. ISS.), pp. 1752-1761. , DOI 10.1016/j.engstruct.2005.04.017, PII S014102960500221X
Koo, K.Y., Lee, J.J., Yun, C.B., Brownjohn, J.M.W., Damage detection in beam-like structures using deflections obtained by modal flexibility matrices (2009) Proceedings of the IMAC-XXVII, , USA
Kim, J.-T., Stubbs, N., Improved damage identification method based on modal information (2002) Journal of Sound and Vibration, 252 (2), pp. 223-238. , DOI 10.1006/jsvi.2001.3749
Rucka, M., Wilde, K., Application of continuous wavelet transform in vibration based damage detection method for beam and plates (2006) Journal of Sound and Vibration, pp. 536-550
Bayissa, W.L., Haritos, N., Thelandersson, S., Vibration-based structural damage identification using wavelet transform (2008) Mechanical System and Signal Processing, 22, pp. 1194-1215
Cao, M., Qiao, P., Novel Laplacian scheme and multiresolution modal curvatures for structural damage identification (2009) Mechanical System and Signal Processing, 23, pp. 1223-1242
Ray, L.R., Tian, L., Damage detection in smart structures through sensitivity enhancing feedback control (1999) Journal of Sound and Vibration, 227 (5), pp. 987-1002
Pandey, A.K., Biswas, M., Samman, M.M., Damage detection from changes in curvature mode shape (1991) Journal of Sound and Vibration, 142, pp. 321-332
Sampaio, R.P.C., Maia, N.M.M., Silva, J.M.M., Damage detection using the frequency-response-function curvature method (1999) Journal of Sound and Vibration, 226 (5), pp. 1029-1042
Messina, A., Williams, E.J., Contursi, T., Structural damage detection by a sensitivity and statistical-based method (1998) Journal of Sound and Vibration, 216 (5), pp. 791-808
Jiang, L.J., Tang, J., Wang, K.W., An optimal sensitivity-enhancing feedback control approach via eigenstructure assignment for structural damage identification (2007) Journal of Vibration and Acoustics, Transactions of the ASME, 129 (6), pp. 771-783. , DOI 10.1115/1.2748476
Koh, B.H., Ray, L.R., Feedback controller design for sensitivity-based damage localization (2004) Journal of Sound and Vibration, 273, pp. 317-335
Jiang, L.J., Wang, K.W., An experiment-based frequency sensitivity enhancing control approach for structural damage detection (2009) Smart Materials and Structures, 18. , Online at stacks.iop.org/SMS/18/065005
Yang, J.N., Lin, S., Pan, S., Damage identification of structures using Hilbert-Huang spectral analysis (2002) Proceedings of the 15th ASCE Engineering Mechanics Conference, , New York
Teughels, A., De Roeck, G., Structural damage identification of the highway bridge Z24 by FE model updating (2004) Journal of Sound and Vibration, 278, pp. 589-610
Reynders, E., De Roeck, G., Bakir, P.G., Sauvage, C., Damage identification on the tilff bridge by vibration monitoring using optical fiber strain sensors (2007) Journal of Engineering Mechanics, 133 (2), pp. 185-193. , DOI 10.1061/(ASCE)0733-9399(2007)133:2(185)
Bakir, P.G., Reynders, E., Roeck, G.D., An improved finite element model updating method by the global optimization technique 'Coupled Local Minimizers' (2008) Computers and Structures, 86 (11-12), pp. 1339-1352. , DOI 10.1016/j.compstruc.2007.08.009, PII S0045794907002672
Fang, S.E., Perera, R., De Roeck, G., Damage identification of a reinforced concrete frame by finite element model updating using damage parameterization (2008) Journal of Sound and Vibration, 313, pp. 544-559
Junkins, J.L., Kim, Y., (1993) Introduction to Dynamics and Control of Flexible Structures, , AIAA Education Series, Reston, VA
Todd Griffith, D., Analytical sensitivities for Principal Components Analysis of Dynamical systems Proceedings of the IMAC-XXVII, , Orlando, Florida, USA, February 9-12
Link, M., Updating of analytical models-basic procedures and extensions (1999) Modal Analysis and Testing, pp. 281-304. , J.M.M. Silva, N.M.M. Maia (Eds.), Kluwer Academic Publishers, London
Friswell, M.I., Mottershead, J.E., (1995) Finite Element Model Updating in Structural Dynamics, , Kluwer Academic Publishers
Charles, F., Javid, J., (1996) Damage Detection Algorithms Applied to Experimental and Numerical Modal Data from the I-40 Bridge, , Los Alamos National Laboratory
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.
