Experimental damage detection using system norms
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Nowadays there is great interest in structural damage detection in systems using nondestructive tests. Once the failure is detected, as for instance a crack, it is possible to take providences. There are several different approaches that can be used to obtain information about the existence, location and extension of the fault in the system by non-destructive tests. Among these methodologies, one can mention different optimization techniques, as for instance classical methods, genetic algorithms, neural networks, etc. Most of these techniques, which are based on element-byelement adjustments of a finite element (FE) model, take advantage of the dynamic behavior of the model. However, in practical situations, usually, is almost impossible to obtain an accuracy model. In this paper, it is proposed an experimental technique for damage location. This technique is based on H: norm to obtain the damage location. The dynamic properties of the structure were identified using experimental data by eigensystem realization algorithm (ERA). The experimental test was carried out in a beam structure through varying the mass of an element. For the output signal was used a piezoelectric sensor. The signal of input of sine form was generated through SignalCalc® software.
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ERA, Experimental damage location, Piezoelectric sensor, System norms, Accuracy model, Beam structures, Classical methods, Damage location, Dynamic behaviors, Dynamic property, Eigensystem realization algorithms, Experimental damage, Experimental data, Experimental techniques, Experimental test, Finite element models, Non-destructive test, Optimization techniques, Output signal, Piezoelectric sensors, Structural damage detection, Crack detection, Electric sensing devices, Exhibitions, Genetic algorithms, Nondestructive examination, Piezoelectric transducers, Structural dynamics, Damage detection
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Inglês
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Conference Proceedings of the Society for Experimental Mechanics Series.
