Damage Identification in Beam like Structures via Vibration based Analyses and Artificial Neural Networks

Date

2011-01-01

Author

Şahin, Melin

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https://hdl.handle.net/11511/70362

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Damage detection in beam-like structures via combined genetic algorithm and non-linear optimisation Aktaşoğlu, Seyfullah; Şahin, Melih; Department of Aerospace Engineering (2012) In this study, a combined genetic algorithm and non-linear optimisation system is designed and used in the identification of structural damage of a cantilever isotropic beam regarding its location and severity. The vibration-based features, both natural frequencies (i.e. eigenvalues) and displacement mode shapes (i.e. eigenvectors) of the structure in the first two out of plane bending modes, are selected as damage features for various types of damage comprising saw-cut and impact. For this purpose, commerc...
Damage detection in structures using vibration measurements Aydoğan, Mustafa Özgür; Özgüven, Hasan Nevzat; Department of Mechanical Engineering (2003) Cracks often exist in structural members that are exposed to repeated loading, which will certainly lower the structural integrity. A crack on a structural member introduces a local flexibility which is a function of the crack depth and location. This may cause nonlinear dynamic response of the structure. In this thesis, a new method is suggested to detect and locate a crack in a structural component. The method is based on the fact that nonlinear response of a structure with a crack will be a function of t...
Damage detection in beams by wavelet analysis Yanılmaz, Hüseyin; Çalışkan, Mehmet; Department of Mechanical Engineering (2007) In this thesis, a method proposed by Han et al. [40] for detecting and locating damage in a structural member was adapted. The method was based on the energies that were calculated from the CWT coefficients of vibrational response of a cantilever beam. A transverse cut at varying depths was introduced. The presence and location of crack was investigated by processing experimentally acquired acceleration signals. Results of modal analysis and wavelet analysis of the beam with different cut depths were compar...
Damage detection in a sandwich composite beam using wavelet transforms Dawood, TA; Shenoi, RA; Veres, SM; Şahin, Melin; Gunning, MJ (2003-01-01) There is a growing interest in developing non-destructive damage detection methods for damage assessment of composite structures, especially in the aerospace and marine industries. Although damage detection of composite laminates has been widely investigated, little work has been carried out on sandwich composite configurations. A technique using the Lipschitz exponent, which is estimated by wavelet transforms, as a damage sensitive signal feature is outlined here to identify damage in sandwich composites. ...

Citation Formats

M. Şahin, Damage Identification in Beam like Structures via Vibration based Analyses and Artificial Neural Networks. 2011.