Experimental Investigation of Damage Detection in Beam Using Dynamic Excitation System

Mehdi Kouhdaragh

Abstract


Most structural failures are due to break in consisting materials. These breaks begin with a crack, the extension of which is a serious threat to the behaviour of structure. Thus the methods of distinguishing and showing cracks are the most important subjects being investigated. In this article, a new smart portable mechanical system to detect damage in beam structures via using fuzzy-genetic algorithm is introduced. Acceleration-time history of the three points of beam is obtained. The signals are then decomposed into smaller components using new EMD (Empirical Mode Decomposition) method with every IMF containing a specific range of frequency. The dominant frequencies of the structure are obtained from these IMFs using Short-term Fourier transform. Subsequently, a new method of damage detection in simply supported beams is introduced based on fuzzy-genetic algorithm. The new method is capable of identifying the location and intensity of the damage. This algorithm is developed to detect the location and intensity of the damage along the beam, which can detect the damage location and intensity based on the pattern of beam frequency variations between undamaged and damaged states.


Keywords


Damage Detection; Dynamic System; EMD Method; Fuzzy-Genetic Algorithm.

References


Lotfollahi-Yaghin, Mohammad Ali, and Mahdi Koohdaragh. "Examining the function of wavelet packet transform (WPT) and continues wavelet transform (CWT) in recognizing the crack specification." KSCE Journal of Civil Engineering 15, no. 3 (2011): 497-506.

Araki, Y., and Y. Miyagi. "Mixed integer nonlinear least-squares problem for damage detection in truss structures." Journal of engineering mechanics 131, no. 7 (2005): 659-667.

Ge, Ma, and Eric M. Lui. "Structural damage identification using system dynamic properties." Computers & structures 83, no. 27 (2005): 2185-2196.

Jiang, L., Wang, K. "An enhanced frequency-shift-based damage identification method using tunable piezoelectric transducer circuitry" Smart Materials and Structures 15(2006): 799–808.

Lu, Z. R., J. K. Liu, M. Huang, and W. H. Xu. "Identification of local damages in coupled beam systems from measured dynamic responses." Journal of Sound and Vibration 326, no. 1 (2009): 177-189.

Lina Ding, Z., Hong Hao, R., Xinqun Zhu, I. "Evaluation of dynamic vehicle axle loads on bridges with different surface conditions" Journal of Sound and Vibration 323(2009): 826–848.

Jean-Charles Wyss, H.O., Di Su, J., YozoFujino, T. “Prediction of vehicle-induced local responses and application to a skewed girder bridge.” Engineering Structures 33(2011): 1088–1097.

Wu, S.Q., Law, S.S. "Vehicle axle load identification on bridge deck with irregular road surface profile" Engineering Structures 33(2011): 591–601.

Neves, S.G.M., Azevedo, A.F.M., Calçada, R. "A direct method for analyzing the vertical vehicle–structure interaction" Engineering Structures 34(2012): 414–420.

Law, S.S. Wu, S.Q., "Evaluating the response statistics of an uncertain bridge–vehicle system" Mechanical Systems and Signal Processing 27(2012): 576–589.

Na, Chaekuk, Sun-Pil Kim, and Hyo-Gyoung Kwak. "Structural damage evaluation using genetic algorithm." Journal of Sound and Vibration 330, no. 12 (2011): 2772-2783.

Marano, G., Quaranta, G., Monti, G. “Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements.” Computer-Aided Civil and Infrastructure Engineering 26(2011): 92–110.

Mosquera, V., Smyth, A., Betti, R. "Rapid evaluation and damage assessment of instrumented highway bridges" Earthquake Engineering and Structural Dynamics 41(2012): 755–774.

Loh, C., Mao, C., Huang, J., Pan, T. "System identification and damage evaluation of degrading ysteresis of reinforced concrete frames" Earthquake Engineering and Structural Dynamics 40(2010): 623–640.

Ganguli, R. "A fuzzy logic system for ground based structural health monitoring of a helicopter rotor using modal data" Journal of Intelligent Material Systems and Structures 12(2001): 397–407.

Najafabadi, M. A., Toudeshky, H. H., Sedighi, M. :Damage monitoring of aluminum sheet repaired with fiber metal laminate patch by acoustic emission" Modares Mechanical Engineering 16(2016): 1-9.

Hasannezhad-Gadim, R., Tasojiyan, Sh., Alipor, M.R. "Breathing crack identification in beam- type structures using cat swarm optimization algorithm" Modares Mechanical Engineering 15(2015): 24-17.

Xianfeng, F., Mingzuo, J. "Gearbox fault detection using empirical mode decomposition" ASME International Mechanical Congress and Exposition 12(2004): 456-467.

Dejie, Y., Junsheng, Z., Cheng, Y., Yang, Y. "Application of EMD method and Hilbert Spectrum to the fault diagnosis of roller bearings" Mechanical System and Signal Processing 19(2003): 259-270.

Huang, N. E. "The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis" Proceedings of the Royal Society 454(2002): 903-995.

Beena, P., and Ranjan Ganguli. "Structural damage detection using fuzzy cognitive maps and Hebbian learning." Applied Soft Computing 11, no. 1 (2011): 1014-1020.


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DOI: 10.28991/cej-030925

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