References
- Alvandi, A. and Cremona, C. (2006), "Assessment of vibration-based damage identification techniques", J. Sound Vib., 292(1-2), 179-202. https://doi.org/10.1016/j.jsv.2005.07.036
- Alvin, K.F. (1997), "Finite element model update via Bayesian estimation and minimization of dynamic residuals", AIAA J., 35(5), 879-886. https://doi.org/10.2514/2.7462
- 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. https://doi.org/10.1177/1045389X09352816
- 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.
- 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.
- Bakhtazad, Amid. Palazoglu, Ahmet. And Romagnoli, Jose. (2000), "Process trend analysis using waveletbased de-noising", Control Eng. Prac., 8(6), 657-663. https://doi.org/10.1016/S0967-0661(99)00197-5
- 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.
- 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.
- Bemont, C.P. (2009), "The development of robust structural health monitoring sensors utilizing TRIP steel", IEEE Sensors J., 9(11), 1449-1455. https://doi.org/10.1109/JSEN.2009.2021801
- 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. https://doi.org/10.1243/03093247V271029
- 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.
- 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. https://doi.org/10.1111/j.1467-8667.2008.00543.x
- Carden, E.P. and Fanning, P. (2004), "Vibration based condition monitoring: a review", Struct. Health Monit., 3(4), 355-377. https://doi.org/10.1177/1475921704047500
- 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. https://doi.org/10.1002/stc.141
- Chang, F.K. (1997), Structural Health Monitoring: Current Status and Perspectives, Technomic Publishing, Lancaster, Pennsylvania.
- 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.
- 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. https://doi.org/10.1016/j.ymssp.2006.03.013
- 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. https://doi.org/10.1108/02644401011082962
- 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.
- 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.
- Delia, C.N. and Shu, D.W. (2007), "Vibration of delaminated composite laminates: a review", Appl. Mech. Rev., 60(1-6), 1-20. https://doi.org/10.1115/1.2375141
- Deng, X.M. and Wang, Q. (1998), "Crack detection using spatial measurements and wavelet analysis", Int. J. Fract., 91(2), 123-128.
- Devriendt, C. et al. (2010), "Structural health monitoring in changing operational conditions using transmissibility measurements", Shock Vib., 17(4-5), 651-675. https://doi.org/10.1155/2010/153273
- 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. https://doi.org/10.1177/058310249803000201
- 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. https://doi.org/10.1016/j.ijsolstr.2009.08.022
- Fan, W. and Qiao P.Z. (2011), "Vibration-based damage identification methods: a review and comparative study", Struct. Health Monit., 10(1), 83-111. https://doi.org/10.1177/1475921710365419
- 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. https://doi.org/10.1016/j.jsv.2007.11.024
- 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. https://doi.org/10.1111/j.1467-8667.2010.00685.x
- 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.
- 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. https://doi.org/10.1016/S0045-7949(98)00125-4
- 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.
- 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.
- 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. https://doi.org/10.1061/(ASCE)1084-0702(2006)11:6(707)
- 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. https://doi.org/10.1177/1045389X11411217
- Hou, Z., Noori, M. and Amand, R.S.T. (2000), "Wavelet-based approach for structural damage detection", J. Eng. Mech., 126(7), 677-683. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:7(677)
- 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. https://doi.org/10.1016/j.ymssp.2006.09.008
- 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. https://doi.org/10.1002/stc.161
- 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.
- Koh, C.G. and Perry, M.J. (2007), "Structural damage quantification by system identification", J. Earthq. Tsunami, 1(3), 211-231. https://doi.org/10.1142/S1793431107000134
- Li, Y.Y. (2010), "Hypersensitivity of strain-based indicators for structural damage identification: a review", Mech. Syst. Signal Pr., 24(3), 653-664. https://doi.org/10.1016/j.ymssp.2009.11.002
- 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. https://doi.org/10.1006/jsvi.2000.3265
- 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. https://doi.org/10.1002/eqe.350
- 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. https://doi.org/10.1016/j.engstruct.2007.03.017
- 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. https://doi.org/10.1177/1475921709102144
- 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.
- 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.
- Luo, H. and Hanagud, S. (1997), "Dynamic learning rate neural network training and composite structural damage detection", AIAA J., 35(9), 1522-1527. https://doi.org/10.2514/2.7480
- 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. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:4(350)
- 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. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:7(666)
- Meo, M. and Zumpano, G. (2008), "Damage assessment on plate-like structures using a global-local optimization approach", Opti.Eng., 9(2), 161-177. https://doi.org/10.1007/s11081-007-9016-0
- 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. https://doi.org/10.1177/0583102406065898
- 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. https://doi.org/10.1007/s00419-011-0527-y
- Ostachowicz, W.M. (2008), "Damage detection of structures using spectral finite element method", Comput. Struct., 86(3-5), 454-462. https://doi.org/10.1016/j.compstruc.2007.02.004
- Ovanesova, A. And Suarez, L.E. (2004), "Applications of wavelet transforms to damage detection in frame structures", Eng. Struct., 26(1), 39-59. https://doi.org/10.1016/j.engstruct.2003.08.009
- 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. https://doi.org/10.1111/j.1467-8667.2007.00510.x
- 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. https://doi.org/10.1016/0022-460X(91)90595-B
- 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. https://doi.org/10.1016/j.ndteint.2006.07.004
- 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. https://doi.org/10.1016/j.ymssp.2007.10.004
- Reddy, K.V. and Ganguli, R. (2007), "Fourier analysis of mode shapes of damaged beams", Comput. Mater. Cont., 5(2), 79-97.
- 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. https://doi.org/10.1016/j.ijengsci.2008.09.006
- Salawu, O.S. (1997), "Detection of structural damage through changes in frequency: a review", Eng. Struct., 19(9), 718-723. https://doi.org/10.1016/S0141-0296(96)00149-6
- Savkin, A.V., Evans, R.J. and Skafidas, E. (2001), "The problem of optimal robust sensor scheduling", Sys. Control Letters, 43(2), 149-157. https://doi.org/10.1016/S0167-6911(01)00086-X
- 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. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:5(521)
- 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.
- 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. https://doi.org/10.1177/1045389X0606629
- 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.
- 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.
- Tsou, P.Y. and Shen, M.H.H. (1994), "Structural damage detection and identification using neural networks", AIAA J., 32(1), 176-183. https://doi.org/10.2514/3.11964
- 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.
- 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. https://doi.org/10.1016/j.jsv.2004.07.016
- 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 ).
- Wang, W. and Jianu, O.A. (2010), "A smart sensing unit for vibration measurement and monitoring", IEEETran. Mechatronics. 15(1), 70-78.
- 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. https://doi.org/10.1177/1475921706057981
- 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. https://doi.org/10.1016/S0045-7825(97)00013-3
- 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. https://doi.org/10.1109/JSEN.2008.926894
- 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. https://doi.org/10.1002/stc.215
- 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. https://doi.org/10.2514/2.1068
- 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. https://doi.org/10.1115/1.2731409
- 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. https://doi.org/10.1111/j.1467-8667.2006.00449.x
- 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.
- 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. https://doi.org/10.1177/1475921710365261
- 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.
- 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. https://doi.org/10.1016/j.strusafe.2005.12.001
- Zhang, Q.W. (2007), "Statistical damage identification for bridges using ambient vibration data", Comput. Struct., 85(4-5), 476-485. https://doi.org/10.1016/j.compstruc.2006.08.071
- 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. https://doi.org/10.1016/j.asoc.2008.11.008
- 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. https://doi.org/10.1088/0964-1726/11/6/314
- 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. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000273
- 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. https://doi.org/10.1006/jsvi.1999.2624
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