Study on damage detection software of beam-like structures

다국어 초록 (Multilingual Abstract)

A simply structural damage detection software is developed to identification damage in beams. According to linear fracture mechanics theory, the localized additional flexibility in damage vicinity can be represented by a lumped parameter element. The damaged beam is modeled by waveletbased elements to gain the first three frequencies precisely. The first three frequencies influencing functions of damage location and depth are approximated by means of surface-fitting techniques to gain damage detection database of forward problem. Then the first three measured natural frequencies are employed as inputs to solve inverse problem and the intersection of the three frequencies contour lines predict the damage location and depth. The DLL (Dynamic Linkable Library) file of damage detection method is coded by C++ and the corresponding interface of software is coded by virtual instrument software LabVIEW. Finally, the software is tested on beams and shafts in engineering. It is shown that the presented software can be used in actual engineering structures.

참고문헌 (Reference)

1 Horng, J.H, "ybrid MATLAB and LabVIEW with neural network to implement a SCADA system of AC servo motor" 39 : 149-155, 2008

2 Chen, X.F, "xperiments on crack identification in cantilever beams" 45 (45): 295-300, 2005

3 Adams, R.D., "vibration technique for non-destructively assessing the integrity of structures" 20 : 93-100, 1978

4 Xiang, J.W, "tatic and vibration analysis of thin plates by using finite element method of B-spline wavelet on the interval" 25 (25): 613-629, 2007

5 Sinou, J.J, "robust identification of single crack location and size only based on pulsations of the cracked system" 25 (25): 691-716, 2007

6 Montalvão, D, "review of vibration-based structural health monitoring with special emphasis on composite materials" 38 (38): 1-30, 2006

7 Xiang, J.W., "rack identification in short shafts using wavelet-based element and neural network" 33 (33): 571-589, 2009

8 Xiang, J.W, "rack detection in a shaft by combination of waveletbased elements and genetic algorithm" 45 (45): 4782-4795, 2008

9 Saavedra, P.N, "rack detection and vibration behavior of cracked beams" 79 (79): 1451-1459, 2001

10 Papadopoulos, C.A, "oupled longitudinal and bending vibrations of a rotating shaft with an open crack" 117 (117): 81-93, 1987

11 Dong, H.B., "otor crack detection based on high-precision modal parameter identification method and wavelet finite element model" 23 : 69-883, 2009

12 Lele, S.P, "odeling of transverse vibration of short beams for crack detection and measurement of crack extension" 257 (257): 559-583, 2002

13 Peng, Z.K., "ingularity analysis of the vibration signals by means of wavelet modulus maximal method" 21 (21): 780-794, 2007

14 Begambre, O, "hybrid Particle Swarm Optimization-Simplex algorithm (PSOS) for structural damage identification" 40 : 883-891, 2009

15 Bukkapatnam, S.T.S, "genetic algorithm for unified approach-based predictive modeling of fatigue crack growth" 27 : 1354-1359, 2005

16 Nandwana, B.P, "etection of the location and size of a crack in stepped cantilever beams based on measurements of natural frequencies" 203 (203): 435-446, 1997

17 Li, B., "etection of crack location and size in structures using wavelet finite element methods" 285 (285): 767-782, 2005

18 Corra, A., "easuring soil contamination with the time domain induced polarization method using LabVIEW" 42 : 1082-1091, 2009

19 Xiang, J.W, "dentification of crack in a rotor system based on wavelet finite element method" 43 (43): 8-1081, 2007

20 Xiang, J.W, "dentification of a crack in a beam based on the finite element method of a B-spline wavelet on the interval" 296 (296): 1046-1052, 2006

21 Dong, G.M., "arameter identification of a rotor with an open crack" 23 (23): 325-333, 2004

22 Dutta, A, "amage detection in bridges using accurate modal parameters" 40 : 287-304, 2004

23 Xu, W.L, "LabVIEW-based expandable modular control system with a layered structure for a 3 MV tandem accelerator" 241 : 890-895, 2005

24 Ikhlas, A.Q., "CA-based algorithm for unsupervised bridge crack detection" 37 : 771-778, 2005