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



Damage Detection in FRP Laminated Beams Using Neural Networks
Şahin, Melin (2002-07-10)
This paper presents a technique to predict the severity and the location of the damage in beam-like composite laminates by using modal parameters as input for an artificial neural network. A laminated cantilever beam is modelled using ANSYS 5.6© finite element software. Normal mode dynamic analyses have been performed for the first three natural modes of intact and damaged beams to find the modal parameters. Damage has been modelled as a local reduction in stiffness of the selected elements in the finite el...
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.