Abstract
The challenge of identifying structural damage has gained a lot of attention among the research community during the last decades. Many damage identification algorithms are available in literature and most of them are based on vibration measurements. The accuracy of these methods depends on the measurement quality and especially on the number of sensors used to perform the monitoring activity. The need for a large number of devices does not comply with the economic advantage of an efficient structural maintenance based on remote monitoring. The purpose of this work is to explore the application of cameras to damage identification. The main advantage in using a camera is that every row or column in the pixel matrix can be considered a sensor on its own. This characteristic makes a camera an interesting device for damage detection, since it possible to estimate the structural dynamic behaviour on a continuous field by one single device at a reasonable price. In this work a camera will be used for the mode shape curvatures estimation of a cantilever beam with the final goal to identify damages in the structure. The results will show the efficacy of vision-based measurements for the monitoring purpose.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carden EP (2004) Vibration based condition monitoring: a review. Struct Heal Monit 3(4):355–377
Farrar CR, Jauregui DA (1999) Comparative study of damage identification algorithms applied to a bridge: I. Experiment. Smart Mater Struct 7(5):704–719
Salawu OS (1997) Detection of structural damage through changes in frequency: a review. Eng Struct 19(9):718–723
Patil DP, Maiti SK (2003) Detection of multiple cracks using frequency measurements. Eng Fract Mech 70(12):1553–1572
Yang Z, Wang L (2009) Structural damage detection by changes in natural frequencies. J Intell Mater Syst Struct 21(3):309–319
Pandey A, Biswas M, Samman M (1991) Damage detection from changes in curvature mode shapes. J Sound Vib 145:321–332
Ratcliffe C (2000) A frequency and curvature based experimental method for locating damage in structures. J Vib Acoust 122:324–329
Hamey CS (2004) Experimental damage identification of Carbon/Epoxy composite Beams using curvature mode shapes. Struct Heal Monit 3(4):333–353
Yoon M-K, Heider D, Gillespie JW, Ratcliffe CP, Crane RM (2009) Local damage detection with the global fitting method using mode shape data in notched beams. J Nondestruct Eval 28(2):63–74
Li GQ, Hao KC, Lu Y, Chen SW (1999) A flexibility approach for damage identification of cantilever-type structures with bending and shear deformation. Comput Struct 73(6):565–572
Zhou Z, Wegner LD, Sparling BF (2007) Vibration-based detection of small-scale damage on a bridge deck. J Struct Eng 133(9):1257–1267
Li J, Wu B, Zeng QC, Lim CW (2010) A generalized flexibility matrix based approach for structural damage detection. J Sound Vib 329(22):4583–4587
Shi Z, Law S, Zhang L (1998) Structural damage localization from modal strain energy change. J Sound Vib 218:825–844
Kim J-T, Stubbs N (2002) Improved damage identification method based on modal information. J Sound Vib 252(2):223–238
Choi S, Park S, Park N-H, Stubbs N (2006) Improved fault quantification for a plate structure. J Sound Vib 297(3–5):865–879
Fan W, Qiao P (2010) Vibration-based damage identification methods: a review and comparative study. Struct Heal Monit 10(1):83–111
Alvandi A, Cremona C (2006) Assessment of vibration-based damage identification techniques. J Sound Vib 292(1):179–202
Olaszek P (1999) Investigation of the dynamic characteristic of bridge structures using a computer vision method. Meas J Int Meas Confed 25(3):227–236
Wahbeh A, Caffrey J, Masri S (2003) A vision-based approach for the direct measurement of displacements in vibrating systems. Smart Mater Struct 12(5):785–794
Lee J, Shinozuka M (2006) A vision-based system for remote sensing of bridge displacement. NDT E Int 39(5):425–431
Lee J, Fukuda Y, Shinozuka M, Cho S, Yun C (2007) Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures. Smart Struct Syst 3(3):373–384
Sazonov E, Klinkhachorn P (2005) Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes. J Sound Vib 285(4):783–801
Wahab MA, De Roeck G (1999) Damage detection in bridges using modal curvatures: application to a real damage scenario. J Sound Vib 226:217–235
Salawu OS, Williams C (1995) Review of full-scale dynamic testing of bridge structures. Eng Struct 17(2):113–121
Reynders E, De Roeck G, Gundes Bakir P, Sauvage C (2007) Damage identification on the Tilff bridge by vibration monitoring using optical fiber strain sensors. J Eng Mech 133(2):185–193
Unger JF, Teughels A, De Roeck G (2005) Damage detection of a prestressed concrete beam using modal strains. J Struct Eng 131(9): 1456–1463
Ratcliffe CP (1997) Damage detection using a modified Laplacian operator on mode shape data. J Sound Vib 204(3):505–517
Busca G, Cigada A, Zappa E (2012) Dynamic characterization of flexible structures through vision-based vibration measurements. Conf Proc Soc Exp Mech Ser 1:189–196
Hornberg A (ed) (2007) Handbook of machine vision. Wiley, Weinheim, Germany
Ewins DJ. Modal testing: theory, practice and application. Mechanical engineering research studies: engineering dynamics series. Wiley, Weinheim, Germany
Peeters LB, Van der Auweraer H, Guillaume P, Leuridan J (2004) The PolyMAX frequency-domain method: a new standard for modal parameter estimation? Shock Vib 11(3–4):395–409
Qiao P, Lestari W, Shah MG, Wang J (2007) Dynamics-based damage detection of composite laminated beams using contact and noncontact measurement systems. J Compos Mater 41(10):1217–1252
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Busca, G., Cigada, A., Zappa, E. (2014). Vision Device Applied to Damage Identification in Civil Engineer Structures. In: Wicks, A. (eds) Structural Health Monitoring, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-04570-2_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-04570-2_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04569-6
Online ISBN: 978-3-319-04570-2
eBook Packages: EngineeringEngineering (R0)