Abstract
Vibration based damage detection methods are among the most popular and promising approaches for health monitoring of structures. In this work a critical review of different methods for damage detection methods of structures is presented. The theoretical bases of the most popular methods based on the changes in the modal properties of the structures are deduced. The review includes the modal displacements, the mode shape slopes, the modal curvatures and the strain energy methods. The efficiency of all these methods is compared by using a finite element analysis of intact and damaged beams. The methods are tested experimentally by using a scanning laser vibrometer to measure the modal properties of specially prepared composite beams with defects. All this methods are compared with the damage detection method based on the analysis of the Poincaré maps of the motion of the structures). Conclusions concerning the advantages and the applicability of the considered methods are deduced.
Highlights
Vibration based methods are among the popular and very important methods for structural health monitoring (SHM) and damage detection (DD)
The easiest and the most popular from the vibration based methods are the methods based on the modal analysis of the structure
The best results are obtained by the strain energy method – figure 11
Summary
Vibration based methods are among the popular and very important methods for structural health monitoring (SHM) and damage detection (DD). In this work only a small part of the vibrational based damage detection methods are considered. The easiest and the most popular from the vibration based methods are the methods based on the modal analysis of the structure. The natural frequencies are measurable with high accuracy and are usually less contaminated by experimental noise. It is well known, that the natural frequencies are not very sensitive to damages. It was shown by many authors that significant damage may cause very small changes in natural frequencies, for larger structures, and these changes may go undetected due to measurement or processing errors. The natural frequencies are global parameters of the systems and often they are weakly affected by local faults
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