1 |
Adams, R.D., Cawley, P., Pye, C.J. and Stone, B.J. (1978), 'A vibration technique for non-destructively assessing the integrity of structures', J. Mech. Eng. Sci., 20(2), 93-100
DOI
ScienceOn
|
2 |
Canuto, C., Tabacco, A. and Urban, K. (1999), 'The wavelet element method part I: Construction and analysis', Appl. Comput. Harmon. A., 6, 1-52
DOI
ScienceOn
|
3 |
Canuto, C., Tabacco, A. and Urban, K. (2000), 'The wavelet element method part II: Realization and additional feature in 2D and 3D', Appl. Comput. Harmon. A., 8, 123-165
DOI
ScienceOn
|
4 |
Cho, H.N., Choi, Y.M., Lee, S.C. and Hur C.K. (2004), 'Damage assessment of cable stayed bridge using probabilistic neural networks', Struct. Eng. Mech., 17(3-4), 483-492
DOI
ScienceOn
|
5 |
Chui, C.K. and Quak, E. (1992), 'Wavelets on a bounded interval', Numer. Method. Approx. Theory, 1, 53-57
|
6 |
Dimarogonas, A.D. (1996), 'Vibration of cracked structures: a state of the art review', Eng. Fract. Mech., 55(5), 831-857
DOI
ScienceOn
|
7 |
Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998), 'A summary review of vibration-based damage identification', Shock Vib., 30(2), 91-105
DOI
ScienceOn
|
8 |
Goswami, J.C., Chan, A.K. and Chui, C.K. (1995), 'On solving first-kind integral equations using wavelets on a bounded interval', IEEE T. Antenn. Propag., 43, 614-622
DOI
ScienceOn
|
9 |
Gounaris, G. and Dimarogonas, A.D. (1988), 'A finite element of a cracked prismatic beam for structural analysis', Comput. Struct., 28, 309-313
DOI
ScienceOn
|
10 |
Green, I. and Casey, C. (2005), 'Crack detection in a rotor dynamic system by vibration monitoring-Part I: Analysis', J. Eng. Gas Trub. Power, ASME, 127, 425-436
DOI
ScienceOn
|
11 |
Han, J.G., Ren, W.X. and Huang, Y. (2006), 'A spline wavelet finite element method in structural mechanics', Int. J. Numer. Meth. Eng., 66, 166-190
DOI
ScienceOn
|
12 |
Kisa, M., Brandon, J. and Topcu, M. (1998), 'Free vibration analysis of cracked beams by a combination of finite elements and component mode synthesis methods', Comput. Struct., 67, 215-223
DOI
ScienceOn
|
13 |
Lee, J.J., Lee, J.W., Yi, J.H., Yun, C.B. and Jung, H.Y. (2005), 'Neural networks-based damage detection for bridges considering errors in baseline finite element models', J. Sound Vib., 280, 555-578
DOI
ScienceOn
|
14 |
Lee, Y.S. and Chung, M.T. (2000), 'A study on crack detection using eignfrequency test data', Comput. Struct., 77, 327-342
DOI
ScienceOn
|
15 |
Lele, S.P. and Maiti, S.K. (2002), 'Modeling of transverse vibration of short beams for crack detection and measurement of crack extension', J. Sound Vib., 257(3), 559-583
DOI
ScienceOn
|
16 |
Liu, S.W., Huang, J.H., Sung, J.C. and Lee, C.C. (2002), 'Detection of cracks using neural networks and computational mechanics', Comput. Meth. Appl. Mech. Eng., 191, 2831-2845
DOI
ScienceOn
|
17 |
Montalvao, D., 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., 38(4), 1-30
|
18 |
Murigendrappa, S.M., Maiti, S.K. and Srirangarajian, M.R. (2005), 'Detection of crack in L-shaped pipes filled with fluid based on transverse natural frequencies', Struct. Eng. Mech., 21(6), 635-658
DOI
ScienceOn
|
19 |
Nandwana, B.P. and Maiti, S.K. (1997), 'Detection of the location and size of a crack in stepped cantilever beams based on measurements of natural frequencies'. J. Sound Vib. , 203(3), 435-446
DOI
ScienceOn
|
20 |
Nelson, H.D. (1980), 'The dynamics of rotor-bearing systems using finite element', J. Mech. Des., ASME, 102, 793-803
|
21 |
Sekhar, A.S. and Srinivas, B.N. (2002), 'Vibration characteristics of slotted shafts', J. Sound Vib., 251(4), 621-630
DOI
ScienceOn
|
22 |
Owolabi, G.M., Swamidas, A.S.J. and Seshadri, R. (2003), 'Crack detection in beams using changes in frequencies and amplitudes of frequency response functions', J. Sound Vib., 265, 1-22
DOI
ScienceOn
|
23 |
Papadopoulos, C.A. and Dimarogonas, A.D. (1987), 'Coupled longitudinal and bending vibrations of a rotating shaft with an open crack', J. Sound Vib., 117(1), 81-93
DOI
ScienceOn
|
24 |
Qu, W.L., Chen, W. and Xiao, Y.Q. (2003), 'A two-step approach for joint damage diagnosis of framed structures using artificial neural networks', Struct. Eng. Mech., 16(5), 581-595
DOI
ScienceOn
|
25 |
Sinou, J.J. (2007), 'A robust identification of single crack location and size only based on pulsations of the cracked system', Struct. Eng. Mech., 25(6), 691-716
DOI
ScienceOn
|
26 |
Tada, H., Paris, P.C. and Irwin, G.R. (2000), The Stress Analysis of Cracks Handbook (3rd edition). New York, ASME Press
|
27 |
Xiang, J.W., Chen, X.F., He, Y.M. and He, Z.J. (2006a), 'The construction of plane elastomechanics and Mindlin plate elements of B-spline wavelet on the interval', Finite Elem. Anal. Des., 42, 1269-1280
DOI
ScienceOn
|
28 |
Xiang, J.W., Chen, X.F., He, Y.M. and He, Z.J. (2007a), 'Static and vibration analysis of thin plates by using finite element method of B-spline wavelet on the interval', Struct. Eng. Mech., 25(5), 613-629
DOI
ScienceOn
|
29 |
Xiang, J.W., Chen, X.F., He, Z.J. and Dong, H.B. (2007b), 'The construction of 1D wavelet finite elements for structural analysis', Comput. Mech., 40(2), 325-339
DOI
|
30 |
Xiang, J.W., Chen, X.F., He, Z.J. and Zhang, Y.H. (2007c), 'A new wavelet-based thin plate element using Bspline wavelet on the interval', Comput. Mech., 41(2), 243-255
DOI
|
31 |
Xiang, J.W., Chen, X.F., Li, B., He, Y.M. and He, Z.J. (2006), 'Identification of crack in a beam based on finite element method of B-spline wavelet on the interval', J. Sound Vib., 296(4-5), 1046-1052
DOI
ScienceOn
|
32 |
Xiang, J.W., Chen, X.F., Mo, Q.Y. and He, Z.J. (2007), 'Identification of crack in a rotor system based on wavelet finite element method', Finite Elem. Anal. Des., 43(14), 1068-1081
DOI
ScienceOn
|
33 |
Yuan, S.F., Wang, L. and Peng, G. (2005), 'Neural networks method based on a new damage signature for structural health monitoring', Thin Wall. Struct., 43, 553-563
DOI
ScienceOn
|
34 |
Zachiarias, J., Hartmann, C. and Delgado, A. (2004), 'Damage detection on crates of beverages by artificial neural networks trained with finite-element data', Comput. Meth. Appl. Mech. Eng., 193, 561-574
DOI
ScienceOn
|