[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/sem.2013.45.2.159

A review on recent development of vibration-based structural robust damage detection

Li, Y.Y. (Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong)
Chen, Y. (School of Mechatronics Engineering, University of Electronic Science and Technology of China)

Publication Information

Structural Engineering and Mechanics / v.45, no.2, 2013 , pp. 159-168 More about this Journal

Abstract

The effect of structural uncertainties or measurement errors on damage detection results makes the robustness become one of the most important features during identification. Due to the wide use of vibration signatures on damage detection, the development of vibration-based techniques has attracted a great interest. In this work, a review on vibration-based robust detection techniques is presented, in which the robustness is considerably improved through modeling error compensation, environmental variation reduction, denoising, or proper sensing system design. It is hoped that this study can give help on structural health monitoring or damage mitigation control.

Keywords

robust damage detection; modeling error; environmental variation; denoising; sensing system design; vibration signatures;

Citations & Related Records

Reference

1	Shi, Z.Y., Law, S.S. and Zhang, L.M. (2002), "Improved damage quantification from elemental modal strain energy change", J. Eng. Mech., 128(5), 521-529. DOI ScienceOn
2	Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. (2003), "A review of structural health monitoring literature: 1996-2001", Technical Reports LA-13976-MS, Los Alamos National Laboratory.
3	Sohn, H., Park, H.W., Laws, K.H. and Farrar, C.R. (2007), "Combination of a time reversal process and a consecutive outlier analysis for baseline-free damage diagnosis", J. Int. Mater. Sys. Struct., 18(4), 335-346. DOI
4	Song, G.B., Gu, H.C. and Mo, Y.L. (2008), "Smart aggregates: multi-functional sensors for concrete structures - a tutorial and a review", Smart Mater. Struct., 17(3), doi:10.1088/0964-1726/17/3/033001. DOI ScienceOn
5	Soni, S. and Chattopadhyay, A. (2010), "Sensitivity studies on sensor selection for crack growth investigation", Smart Mater. Struct., 19(10), doi:10.1088/0964-1726/19/10/105015. DOI ScienceOn
6	Tsou, P.Y. and Shen, M.H.H. (1994), "Structural damage detection and identification using neural networks", AIAA J., 32(1), 176-183. DOI ScienceOn
7	Uhl, T., Ostachowicz, W. and Holnickiszulc J. (2008), "Damage detection by a real-parameter hybrid genetic algorithm", Proceedings of the 4th European Workshop on Structural Health Monitoring. pp.1072-1079.
8	Vanlanduit, S., Parloo, E., Cauberghe, B. and Guillaume, P. (2005), "A robust singular value decomposition for damage detection under changing operating conditions and structural uncertainties", J. Sound Vib., 284(3-5), 1033-1050. DOI ScienceOn
9	Wang, K.W. and Tang, J. (2008), "Highly sensitive and robust damage detection of periodic structures with piezoelectric networking", Technical Report, (http://handle.dtic.mil/100.2/ ADA495424 ).
10	Wang, W. and Jianu, O.A. (2010), "A smart sensing unit for vibration measurement and monitoring", IEEETran. Mechatronics. 15(1), 70-78.
11	Wang, X.M., Foliente, G., Su, Z.Q. and Ye, L. (2006), "Multilevel decision fusion in a distributed active sensor network for structural damage detection", Struct. Health Monit., 5(1), 45-58. DOI
12	Wang, Z., Lin, R.M. and Lim, M.K. (1997), "Structural damage detection using measured FRF data", Comput. Methods Appl. Mech. Eng., 147(1-2), 187-197. DOI ScienceOn
13	Wild, G. and Hinckley, S. (2008), "Acousto-ultrasonic optical fiber sensors: overview and state-of-the-art", IEEE Sensors J., 8(7-8), 1184-1193. DOI ScienceOn
14	Worden, K., Farrar, C.R., Haywood, J. and Todd, M. (2008), "A review of nonlinear dynamics applications to structural health monitoring", Struct. Cont. Health Monit., 15(4), 540-567. DOI ScienceOn
15	Wu, Y.J., Shi, X.Z. and Zhuang, T.G. (2000), "Fusion of wavelet packets and neural network in detection of composites", AIAA J., 38(6), 1063-1069. DOI ScienceOn
16	Xu, G.Y., Zhu, W.D. and Emory, B.H. (2007), "Experimental and numerical investigation of structural damage detection using changes in natural frequencies", J. Vib. Acoust., 129(6), 686-700. DOI ScienceOn
17	Xu, H.P. and Humar, J. (2006), "Damage detection in a girder bridge by artificial neural network technique", Comput. Aided Civil Infra. Eng., 21(6), 450-464. DOI ScienceOn
18	Yan, G.R. and Dyke, S.J. (2010), "Structural damage detection robust against time synchronization errors", Smart Mater. Struct., 19(6), doi:10.1088/0964-1726/19/6/065001. DOI ScienceOn
19	Yoder, N.C. and Adams, D.E. (2010), "Vibro-acoustic modulation utilizing a swept probing signal for robust crack detection", Struct. Health Monit., 9(3), 257-267. DOI ScienceOn
20	Yu, L. and Yin, T. (2010), "Damage identification in frame structures based on FE model updating", J. Vib. Acoust., 132(5), doi: 10.1115/1.4002125. DOI ScienceOn
21	Zhang, J., Tadanobu, S. and Lai, S. (2006), "Support vector regression for on-line health monitoring of large-scale structures", Struct. Safety, 28(4), 392-406. DOI ScienceOn
22	Zhang, Q.W. (2007), "Statistical damage identification for bridges using ambient vibration data", Comput. Struct., 85(4-5), 476-485. DOI ScienceOn
23	Zheng, S.J., Li, Z.Q. and Wang, H.T. (2009), "Research on delamination monitoring for composite structures based on HHGA-WNN", Appl. Soft Comput., 9(3), 918-923. DOI ScienceOn
24	Zhou, G. and Sim, L.M. (2002), "Damage detection and assessment in fibre-reinforced composite structures with embedded fibre optic sensors - review", Smart Mater. Struct., 11(6), 925-939. DOI ScienceOn
25	Zhou, H.F., Ni, Y.Q. and Ko, J.M. (2011), "Eliminating temperature effect in vibration-based structural damage detection", J. Eng. Mech.-ASCE, 137(12), 785-796. DOI ScienceOn
26	Zou, Y., Tong, L. and Steven, G.P. (2000), "Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures - a review", J. Sound Vib., 230(2), 357-378. DOI ScienceOn
27	Antonino, M. and Fabrizio, V. (2008), "Dynamic methods for damage detection in structures", 499, 137-182, CISM International Centre for Mechanical Sciences, Springer, Wien-New York.
28	Alvandi, A. and Cremona, C. (2006), "Assessment of vibration-based damage identification techniques", J. Sound Vib., 292(1-2), 179-202. DOI ScienceOn
29	Alvin, K.F. (1997), "Finite element model update via Bayesian estimation and minimization of dynamic residuals", AIAA J., 35(5), 879-886. DOI ScienceOn
30	Annamdas V.G.M. and Soh, C.K. (2010), "Application of electromechanical impedance technique for engineering structures: review and future Issues", J. Intel. Mat. Syst. Struct., 21(1), 41-59. DOI
31	Azarbayejani, M. et al. (2008), "A probabilistic approach for optimal sensor allocation in structural health monitoring", Smart Mater. Struct., 17(5), doi:10.1088/0964-1726/17/5/055019. DOI ScienceOn
32	Bakhtazad, Amid. Palazoglu, Ahmet. And Romagnoli, Jose. (2000), "Process trend analysis using waveletbased de-noising", Control Eng. Prac., 8(6), 657-663. DOI ScienceOn
33	Beard, S. Liu, B. Oing, P. and Zhang, D. (2007), "Challenges in implementation of SHM, structural health monitoring 2007: quantification, validation, and implementation", In 6th International Workshop on Structural Health Monitoring, Stanford, CA, September.
34	Bedrossian, H. and Masri, S.F. (2003), "Optimal placement of sensors & shakers for modal identification", Computational Stochastic Mechanics, Editors: Spanos P.D. and Deodatis G, Mill-press Science Publishers.
35	Carden, E.P. and Brownjohn, J.M.W. (2008), "Fuzzy clustering of stability diagrams for vibration-based structural health monitoring", Comput. Aided civil Infra. Eng., 23(5), 360-372. DOI ScienceOn
36	Bemont, C.P. (2009), "The development of robust structural health monitoring sensors utilizing TRIP steel", IEEE Sensors J., 9(11), 1449-1455. DOI ScienceOn
37	Cantwell, W.J. and Morton, J. (1992), "The significance of damage and defects and their detection in composite Mmaterials - a review", J. Strain Anal. Eng. Des., 27(1), 29-42. DOI
38	Cao, M.S. and Qiao, P.Z. (2008), "Integrated wavelet transform and its application to vibration mode shapes for the damage detection of beam-type structures", Smart Mater. Struct., 17(5), doi:10.1088/ 0964-1726/17/5/055014. DOI ScienceOn
39	Carden, E.P. and Fanning, P. (2004), "Vibration based condition monitoring: a review", Struct. Health Monit., 3(4), 355-377. DOI ScienceOn
40	Casciati, F. and Casciati, S. (2006), "Structural health monitoring by Lyapunov exponents of non-linear time series", Struct. Control Health Monit., 2006, 13(1), 132-146. DOI ScienceOn
41	Chang, F.K. (1997), Structural Health Monitoring: Current Status and Perspectives, Technomic Publishing, Lancaster, Pennsylvania.
42	Chen, B. and Nagarajaiah, S. (2008), "H-/H-infinity structural damage detection filter design using an iterative linear matrix inequality approach", Smart Mater. Struct., 17(3), doi:10.1088/0964-1726/17/3/035019. DOI ScienceOn
43	Chen, H.G. Yan, Y.J. and Jiang, J.S. (2007), "Vibration-based damage detection in composite wing-box structures by HHT", Mech. Sys. Signal Pr., 21(1), 307-321. DOI ScienceOn
44	Chen, H.P. and Bicanic, N. (2010), "Identification of structural damage in buildings using iterative procedure and regularization method", Eng. Comput., 27(7-8), 930-50. DOI ScienceOn
45	Ciang, C.C. Lee, J.R. and Bang, H.J. (2008), "Structural health monitoring for a wind turbine system: a review of damage detection methods", Meas. Sci. Tech., 19(12), doi: 10.1088/0957-0233/19/12/ 122001. DOI ScienceOn
46	Devriendt, C. et al. (2010), "Structural health monitoring in changing operational conditions using transmissibility measurements", Shock Vib., 17(4-5), 651-675. DOI
47	Clement, A. and Laurens, S. (2011), "An alternative to the Lyapunov exponent as a damage sensitive feature", Smart Mater. Struct., 20(2), doi:10.1088/0964-1726/20/2/025017. DOI ScienceOn
48	Delia, C.N. and Shu, D.W. (2007), "Vibration of delaminated composite laminates: a review", Appl. Mech. Rev., 60(1-6), 1-20. DOI ScienceOn
49	Deng, X.M. and Wang, Q. (1998), "Crack detection using spatial measurements and wavelet analysis", Int. J. Fract., 91(2), 123-128.
50	Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998), "A summary review of vibration-based damage identification methods", Shock Vib. Digest, 30(2), 91-105. DOI ScienceOn
51	Fan, W. and Qiao, P.Z. (2009), "A 2D continuous wavelet transform of mode shape data for damage detection of plate structures", Int. J. Solids Struct., 46(25-26), 4379-95. DOI ScienceOn
52	Fan, W. and Qiao P.Z. (2011), "Vibration-based damage identification methods: a review and comparative study", Struct. Health Monit., 10(1), 83-111. DOI ScienceOn
53	Faverjon, B. and Sinou, J.J. (2008), "Robust damage assessment of multiple cracks based on the frequency response function and the constitutive relation error updating method", J. Sound Vib., 312(4-5), 821-837. DOI ScienceOn
54	Figueiredo, E., Figueiras, J., Park, G., Farrar, C.R. and Worden, K. (2011), "Influence of the autoregressive model order on damage detection", Comput. Aided Civil Infra. Eng., 26(3), 225-238. DOI ScienceOn
55	Frazier, W.G. et al. (2008), "Robust design for transducer selection and placement and structural damage detection", Proceedings of the Fourth European Workshop on Structural Health Monitoring, 890-898.
56	Friswell, M.I. Penny, JET. and Garvey, S.D. (1998), "A combined genetic and eigensensitivity algorithm for the location of damage in structures", Comput. Struct., 69(5), 547-556. DOI ScienceOn
57	Hong, S.K., Epureanu, B.I. and Castanier, M.P. (2011), "Novel sensor placement for damage identification in a cracked complex structure with structural variability", J. Intell. Mater. Syst. Struct., 22(11), 1189-1202. DOI
58	Gandomi, A.H. Sahab, M.G. Rahaei, A. and Gorji, M.S. (2008), "Development in mode shape-based structural fault identification technique", World Appl. Sci. J., 5(1), 29-38.
59	He, K. and Zhu, W.D. (2010), "Detection of damage and loosening of bolted connections in structures using changes in natural frequencies", Mater. Eval., 68(6), 721-732.
60	Hsieh, K.H., Halling, M.W. and Barr, P.J. (2006), "Overview of vibrational structural health monitoring with representative case studies", J. Bridge Eng., 11(6), 707-715. DOI
61	Hou, Z., Noori, M. and Amand, R.S.T. (2000), "Wavelet-based approach for structural damage detection", J. Eng. Mech., 126(7), 677-683. DOI ScienceOn
62	Jaishi, B. and Ren, W.X. (2007), "Finite element model updating based on eigenvalue and strain energy residuals using multi-objective optimization technique", Mech. Sys. Signal Pr., 21(5), 2295-2317. DOI ScienceOn
63	Jiang, X.M., Mahadevan, S. and Adeli, H. (2007), "Bayesian wavelet packet denoising for structural system identification", Struct. Control Health Monit. 14(2), 333-356. DOI ScienceOn
64	Jung, S., Ok, S.Y. and Song, J.H. (2010), "Robust structural damage identification based on multi-objective optimization", Int. J. Num. Meth. Eng., 81(6), 786-804.
65	Koh, C.G. and Perry, M.J. (2007), "Structural damage quantification by system identification", J. Earthq. Tsunami, 1(3), 211-231. DOI
66	Li, Y.Y. (2010), "Hypersensitivity of strain-based indicators for structural damage identification: a review", Mech. Syst. Signal Pr., 24(3), 653-664. DOI ScienceOn
67	Li, Y.Y. and Yam, L.H. (2001), "Sensitivity analyses of sensor locations for vibration control and damage detection of thin-plate systems", J. Sound Vib., 240(4), 623-636. DOI ScienceOn
68	Liu, X.H. and Paurobally, R. (2009), "Robust damage metric in terms of magnitude and phase for impedance-based structural health monitoring", Struct. Health Monit., 8(4), 303-311. DOI ScienceOn
69	Li, J.W. and Betti, R. (2004), "On-line identification and damage detection in non-linear structural systems using a variable forgetting factor approach", Earthquake Eng. Struct. Dynam., 33(4), 419-444. DOI ScienceOn
70	Lin, R.J. and Cheng, F.P. (2008), "Multiple crack identification of a free-free beam with uniform material property variation and varied noised frequency", Eng. Struct., 30(4), 909-929. DOI ScienceOn
71	Lu, Q.H. and Li, D.B. (1998), "Structural modification location identification method based on artificial neural network", J. Mech. Strength (in Chinese), 20(1),19-22.
72	Lu, Y., Wang, X., Tang, J. and Ding, Y. (2008), "Damage detection using piezoelectric transducers and the lamb wave approach: II. robust and quantitative decision making", Smart Mater. Struct., 17(2), doi:10.1088/0964-1726/17/2/025034. DOI ScienceOn
73	Luo, H. and Hanagud, S. (1997), "Dynamic learning rate neural network training and composite structural damage detection", AIAA J., 35(9), 1522-1527. DOI ScienceOn
74	Masri, S.F., Nakamura, M., Chassiakos, A.G. and Caughey, T.K. (1996), "Neural network approach to detection of changes in structural parameters", J. Eng. Mech., 122(4), 350-360. DOI
75	Masri, S.F., Smyth, A.W., Chassiakos, A.G., Caughey, T.K. and Hunter, N.F. (2000), "Application of neural networks for detection of changes in nonlinear systems", J. Eng. Mech., 126(7), 666-676. DOI ScienceOn
76	Meo, M. and Zumpano, G. (2008), "Damage assessment on plate-like structures using a global-local optimization approach", Opti.Eng., 9(2), 161-177. DOI
77	Montalvao, M., Maia, N.M.M. and Ribeiro, A.M.R. (2006), "A review of vibration-based structural health monitoring with special emphasis on composite materials", Shock Vib. Digest, 38(4), 295-324. DOI ScienceOn
78	Ovanesova, A. And Suarez, L.E. (2004), "Applications of wavelet transforms to damage detection in frame structures", Eng. Struct., 26(1), 39-59. DOI ScienceOn
79	Nicknam, A. Hosseini, M.H. and Bagheri, A. (2011), "Damage detection and denoising in two-dimensional structures using curvelet transform by wrapping method", Archive Appl. Mech., 81(12), 1915-1924. DOI
80	Ostachowicz, W.M. (2008), "Damage detection of structures using spectral finite element method", Comput. Struct., 86(3-5), 454-462. DOI ScienceOn
81	Pakrashi, V., O'Connor, A. and Basu, B. (2007), "A study on the effects of damage models and wavelet bases for damage identification and calibration in beams", Comput. Aided Civil Infra. Eng., 22(8), 555-569. DOI ScienceOn
82	Pandey, A.K., Biswas, M. and Samman, M.M. (1991), "Damage detection from changes in curvature mode shapes", J. Sound Vib., 145(2), 321-332. DOI ScienceOn
83	Park, S., Yun, C.B. and Roh, Y. (2007), "Damage diagnostics on a welded zone of a steel truss member using an active sensing network system", NDT & E Int., 40(1), 71-76. DOI ScienceOn
84	Perera, R. and Ruiz, A. (2008), "A multistage FE updating procedure for damage identification in large-scale structures based on multiobjective evolutionary optimization", Mech. Sys. Signal Pr., 22(4), 970-991. DOI ScienceOn
85	Reddy, K.V. and Ganguli, R. (2007), "Fourier analysis of mode shapes of damaged beams", Comput. Mater. Cont., 5(2), 79-97.
86	Rus, G., Palma, R. and Perez-Aparicio, J.L. (2009), "Optimal measurement setup for damage detection in piezoelectric plates", Int. J. Eng. Sci., 47(4), 554-572. DOI ScienceOn
87	Salawu, O.S. (1997), "Detection of structural damage through changes in frequency: a review", Eng. Struct., 19(9), 718-723. DOI ScienceOn
88	Savkin, A.V., Evans, R.J. and Skafidas, E. (2001), "The problem of optimal robust sensor scheduling", Sys. Control Letters, 43(2), 149-157. DOI ScienceOn

Reference

	A. Rama Mohan Rao. (2015) Advances in Engineering Software Detection of delamination in laminated composites with limited measurements combining PCA and dynamic QPSO / 86 , 85
05	Ying Lei. (2014) International Journal of Structural Stability and Dynamics An On-line Integration Technique for Structural Damage Detection and Active Optimal Vibration Control / 14 (05) , 1440003
1	M. Rezaiee-Pajand. (2014) Structural Engineering and Mechanics Damage identification of 2D and 3D trusses by using complete and incomplete noisy measurements / 52 (1) , 149
2	Dongyu Zhang. (2018) Smart Materials and Structures Improving substructure identification accuracy of shear structures using virtual control system / 27 (2) , 025013
2	Ying Lei. (2015) Structural Engineering and Mechanics Detection and parametric identification of structural nonlinear restoring forces from partial measurements of structural responses / 54 (2) , 291
	Lijun Liu. (2017) Measurement Real-time simultaneous identification of structural systems and unknown inputs without collocated acceleration measurements based on MEKF-UI /
6	A. Rama Mohan Rao. (2015) Meccanica Damage diagnostic technique combining POD with time-frequency analysis and dynamic quantum PSO / 50 (6) , 1551
1	Temel Turker. (2014) Computers and Concrete Vibration based damage detection in a scaled reinforced concrete building by FE model updating / 14 (1) , 73
6	Yonghui An. (2017) Journal of Performance of Constructed Facilities Fast Warning Method for Rigid Hangers in a High-Speed Railway Arch Bridge Using Long-Term Monitoring Data / 31 (6) , 04017103
8	M Krishnan. (2017) Smart Materials and Structures Online damage detection using recursive principal component analysis and recursive condition indicators / 26 (8) , 085017
2	Ling Yu. (2015) Structural Engineering and Mechanics Nonlinear damage detection using higher statistical moments of structural responses / 54 (2) , 221
6	K. Gomathi. (2014) Smart Structures and Systems Hand arm vibration measurement using micro-accelerometer in different brick structures / 13 (6) , 959
3	Ying Lei. (2016) Smart Structures and Systems Data fusion based improved Kalman filter with unknown inputs and without collocated acceleration measurements / 18 (3) , 375
1	(2013) Structural engineering and mechanics : An international journal A structural model updating method using incomplete power spectral density function and modal data / 68 (1) , 39
1741-3168	(2018) Structural Health Monitoring Real-time unified single- and multi-channel structural damage detection using recursive singular spectrum analysis / (1741-3168) , 147592171876048
2	(2014) Structural engineering and mechanics : An international journal A direct damage detection method using Multiple Damage Localization Index Based on Mode Shapes criterion / 49 (2) , 183
6	(2013) Structural engineering and mechanics : An international journal Probabilistic damage detection of structures with uncertainties under unknown excitations based on Parametric Kalman filter with unknown Input / 63 (6) , 779
6	(2017) Structural engineering and mechanics : An international journal On-line integration of structural identification/damage detection and structural reliability evaluation of stochastic building structures / 63 (6) , 789
6	(2017) Structural engineering and mechanics : An international journal A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function / 63 (6) , 825
6	(2013) Applied mechanics reviews First-Order Eigen-Perturbation Techniques for Real-Time Damage Detection of Vibrating Systems: Theory and Applications / 71 (6) , 060801
6	(2013) Structural engineering and mechanics : An international journal Multi-constrained optimization combining ARMAX with differential search for damage assessment / 72 (6) , 689
None	(2013) Advances in civil engineering Condition Assessment of Tower and Mast Structures Monitored within One Cluster under Changing Environments / 2020 (None) , 1
4	(2013) Structural engineering and mechanics : An international journal Multi-strategy structural damage detection based on included angle of vectors and sparse regularization / 75 (4) , 415

1	A direct damage detection method using Multiple Damage Localization Index Based on Mode Shapes criterion / [Homaei, F.;Shojaee, S.;Amiri, G. Ghodrati;] / Structural Engineering and Mechanics
2	Vibration based damage detection in a scaled reinforced concrete building by FE model updating / [Turker, Temel;Bayraktar, Alemdar;] / Computers and Concrete
3	Hand arm vibration measurement using micro-accelerometer in different brick structures / [Gomathi, K.;Senthilkumar, A.;Shankar, S.;Thangavel, S.;Priya, R. Mohana;] / Smart Structures and Systems
4	Damage identification of 2D and 3D trusses by using complete and incomplete noisy measurements / [Rezaiee-Pajand, M.;Kazemiyan, M.S.;] / Structural Engineering and Mechanics