8 Jiang S, Zhang C, Zhang S. Two-stage structural damage detection using fuzzy neural networks and data fusion techniques. Expert Systems with Applications, 2011, 38(1):511-519
[2]
9 Oberholster AJ, Heyns PS. On-line fan blade damage detection using neural networks. Mechanical Systems and Signal Processing, 2006, 20(1): 78-93
[3]
10 Sahin M, Shenoi RA. Quantification and localization of damage in beam-like structures by using artificial neural networks with experimental validation. Engineering Structures, 2003, 25(14): 1785-1802
[4]
11 Mares C, Surace C. An application of genetic algorithms to identify damage in elastic structure. Journal of Sound and Vibration, 1996, 195(2): 195-215
[5]
12 Chou J, Ghaboussi J. Genetic algorithm in structural damage detection. Computers & Structures, 2001, 79(14):1335-1353
48 Lam HF, Ng CT. The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm. Engineering Structures, 2008, 30(10): 2762-2770
50 Nie ZH, Cheng LY, Zhao J, et al. Visualization of damage detection for circular arch based on stochastic subspace identification. International Conference on Artificial Intelligence and Computational Intelligence, Sanya, China, 2010
[11]
51 Cheng LY, Nie ZH, Ma HW, et al. Visualization research of damage detection in rail. 3rd International Symposium on Information Processing, Nan Jing, Chnia, 2010
[12]
52 Nie ZH, Hao H, Ma HW. Damage detection based on the reconstructed phase space for reinforced concrete slab: experimental study. Journal of Sound and Vibration, 2013,332(4): 1061-1078
[13]
53 Todd MD, Nichols JM, Pecora LM, et al. Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio. Smart Materials and Structures, 2001, 10(5): 1000-1008
[14]
54 Nichols JM, Virgin LN, Todd MD, et al. On the use of attractor dimension as a feature in structural health monitoring. Mechanical Systems and Signal Processing, 2003,17(6): 1305-1320
[15]
55 Nichols JM, Todd MD, Wait JR. Using state space predictive modeling with chaotic interrogation in detecting joint preload loss in a frame structure experiment. Smart Materials and Structures, 2003, 12(4): 580-601
[16]
56 Figueiredo E, Todd MD, Farrar CR, et al. Autoregressive modeling with state-space embedding vectors for damage detection under operational variability. International Journal of Engineering Science, 2010, 48(10): 822-834
[17]
57 Nichols JM, Trickey ST, Todd MD, et al. Structural health monitoring through chaotic interrogation. Meccanica, 2003, 38(2): 239-250
[18]
58 Ryue J, White PR. The detection of cracks in beams using chaotic excitations. Journal of Sound and Vibration, 2007,307(3-5): 627-638
[19]
59 Nie ZH, Hao H, Ma HW. Structural damage detection using phase space geometry changes. EVACS'11, Milan, Italy,2011
61 Nie ZH, Hao H, Ma HW. Using vibration phase space topology changes for structural damage detection. Structural Health Monitoring, 2012, 11(5): 538-557
[22]
62 Cheng C, Nie ZH, Ma HW. Structural damage detection of the simple beam based on responses phase space. Advanced Materials Research, 2012, 605: 989-995
[23]
63 Zhu XQ, Law SS. Wavelet-based crack identification of bridge beam from operational deflection time history. International Journal of Solids and Structures, 2006, 43(7-8):2299-2317
65 Hester D, Gonzalez A. A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle. Mechanical Systems and Signal Processing, 2012, 28:145-166
[26]
66 Khorram A, Bakhtiari F, Rezaeian M. Comparison studies between two wavelet based crack detection methods of a beam subjected to a moving load. International Journal of Engineering Science, 2012, 51: 204-215
[27]
67 Khorram A, Rezaeian M, Bakhtiari F. Multiple cracks detection in a beam subjected to a moving load using wavelet analysis combined with factorial design. European Journal of Mechanics A/Solids, 2013, 40: 97-113
[28]
68 Nguyen KV. Comparison studies of open and breathing crack detections of a beam-like bridge subjected to a moving vehicle. Engineering Structures, 2013, 51: 306-314
[29]
69 Roveri N, Carcaterra A. Damage detection in structures under traveling loads by Hilbert{Huang transform. Mechanical Systems and Signal Processing, 2012, 28: 128-144
[30]
70 Li J, Law SS. Damage identification of a target substructure with moving load excitation. Mechanical Systems and Signal Processing, 2012, 30: 78-90
3 Yan YJ, Wu ZY, Yam LH. Development in vibration-based structural damage detection technique. Mechanical Systems and Signal Processing, 2001, 21(5): 2198-2211
5 Fang SE, Ren WX, Ricardo P. A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation. Mechanical Systems and Signal Processing, 2012, 33: 83-96
[36]
6 Anne T, Johan M, Guido DR. Damage assessment by FE model updating using damage functions. Computer & Structures, 2002, 80(25): 1869-1879
[37]
7 Ahmadian H, Gladwell GM, Ismail F. Finite element model identification using modal date. Journal of Sound and Vibration, 1994, 172(5): 657-669
16 Mohan C, Maiti DK, Maity D. Structural damage assessment using FRF employing particle swarm optimization. Applied Mathematics and Computation, 2013, 219(20):10387-10400
[40]
17 Yu L, Xu P. Structural health monitoring based on continuous ACO method. Microelectronics Reliability, 2011,51(2): 270-278
[41]
18 Aditi M, Dipak KM, Damodar M. Damage assessment of truss structures from changes in natural frequencies using ant colony optimization. Applied Mathematics and Computation, 2012, 218(19): 9759-9772
[42]
19 Pandey AK, Biswas M. Damage detection using a modified Laplacian operator on mode shape data. Journal of Sound and Vibration, 1994, 204(3): 505-517
[43]
20 Park G, Rutherford AC, Sohn Hoon, et al. An outlier analysis framework for impedance-based structural health monitoring. Journal of Sound and Vibration, 2005,286(23):229-250
[44]
21 Hwang HY, Kim C. Damage detection in structures using a few frequency response measurements. Journal of Sound and Vibration, 2004, 270 (2): 1-14
[45]
22 Nair KK, Anne SK, Law KH. Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure. Journal of Sound and Vibration, 2006, 291(1-2): 349-368
[46]
23 Sohn H, Farrar CF. Damage diagnosis using time series analysis of vibration signals. Smart Materials & Structures, 2000, 10: 1-6
[47]
24 Hou Z, Noori M, Amand RS. Wavelet-based approach for structural damage detection. Journal of Engineering Mechanics, 2000, 126(7): 677-683
[48]
25 Fan W, Qiao P. A 2-D continuous wavelet transform of mode shape data for damage detection of plate structures. International Journal of Solids and Structures,2009, 46(25-26): 4379-4395
[49]
26 Cheng LY, Li GL, Nie ZH, et al. Investigation of combination characteristic of damage location and intensity in arch using wavelet coefficient. Journal of Civil Engineering and Architecture, 2010, 4(6): 16-20
[50]
27 Huang NE, Shen Z, Steven RL, et al. The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis. Proceeding of the Royal Society A, Mathematics Physical & Engineering Sciences,1998, 454(1971): 903-995
[51]
28 Yang J, Lei Y, Huang Norden E. Damage identification of civil engineering structures using Hilbert-Huang transform. The 3th international workshop on structural health monitoring, Stanford, 2001
[52]
29 Babu TR, Srikanth S, Sekhar AS. Hilbert--Huang transform for detection and monitoring of crack in a transient rotor. Mechanical Systems and Signal Processing, 2008,22(4): 905-914
[53]
30 Lin L, Chu FL. HHT-based AE characteristics of natural fatigue cracks in rotating shafts. Mechanical Systems and Signal Processing, 2012, 26: 181-189
[54]
31 Wong KY. Planning and implementation of the structural health monitoring system for cable-supported bridges in Hong Kong. Nondestructive evaluation of highways, Utilities, and Pipelines IV, Proceeding of SPIE, 2000, 3995:275-288
[55]
32 Bao CX, Hao H, Li ZX. Integrated ARMA model method for damage detection of subsea pipeline system. Engineering Structures, 2013, 48: 176-192
[56]
33 Heyns PS. Modal testing with natural excitation using a time series approach. R & D Journal, 1995, 11(2): 34-39
[57]
34 D？hler M, Lam XB, Mevel L. Uncertainty quantification for modal parameters from stochastic subspace identification on multi-setup measurements. Mechanical Systems and Signal Processing, 2013, 36(2)562-581
36 Kammer DC, Brillhart RD. Optimal sensor placement for modal identification using system-realization methods. Journal of Guidance Control and Dynamics, 1996, 19(3):729-731
[60]
37 Imamovic N. Moore D. Model validation of large finite element model using test data. [PhD Thesis]. London: Imperial College London, 1998
[61]
38 Guyan RJ. Reduction of stiffness and mass matrices. AIAA Journal, 1995, 3(2): 380
[62]
39 Breitfeld T. A method for identification of a set of optimal measurement points for experimental modal ayalysis: modal analysis. The International Journal of Analytical and Experimental Modal Analysis, 1996, 11: 254-273
43 Gros XE, Bousigue J, Takahashi K. NDT data fusion at pixel level. NDT & E International, 1999, 32(5): 283-292
[67]
44 Shahawy MA, Arocklasamy M. Field instrument to study the time-dependent behavior in sunshine skyway bridge. Journal of Bridge Engineering, ASME, 1996, 1(2): 76-86
[68]
45 Nie ZH, Ma HW. Visualization of structural damage detection using vibration-based identification techniques. Advanced Science Letters, 2011, 4(8): 3124-3130
[69]
46 Gros XE, Strachan P, Lowden DW, et al. NDT data fusion. In: Proc. of the 6th European Conf. on NDT, Nice, France, 1994
[70]
47 Worden K, Manson G, Denoeux T. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, 2009, 23(6): 1792-1804
[71]
71 Li J, Law SS, Hao H. Improved damage identification in bridge structures subject to moving loads: numerical and experimental studies. International Journal of Mechanical Sciences, 2013, 74: 99-111
[72]
72 Cavadas F, Smith FC, Figueiras J. Damage detection using data-driven methods applied to moving-load responses. Mechanical Systems and Signal Processing, 2013, 39(1-2):409-425
[73]
73 Nie ZH, Ma HW. Structural damage detection using response reconstructed phase space for beam-like structure under a moving load. ICSV20, Bangkok, Thailand, 2013
