DOI: 10.3990/1.9789036536240
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Vibration based structural health monitoring of composite skin-stiffener structures

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Cited by 14 publications
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“…Important advances in this field have been discussed by Doebling et al (1996) studies on this subject report on the relation between natural frequency shift or modal damping changes and structural damage. In addition, Ooijevaar (2014) has presented a comprehensive list of the damage features that are used in the literature and they are presented in Table 3-2. This work, uses the green boxes of Figure 3- The first papers published in damage detection were based on natural frequencies variations between the undamaged and damaged structures (Adams et al, 1975;Vandiver, 1977). Natural frequency-based methods use the FRF (Frequency Response Function) change as the basic feature for damage identification.…”
Section: Review Of Vibration Based Methodsmentioning
confidence: 99%
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“…Important advances in this field have been discussed by Doebling et al (1996) studies on this subject report on the relation between natural frequency shift or modal damping changes and structural damage. In addition, Ooijevaar (2014) has presented a comprehensive list of the damage features that are used in the literature and they are presented in Table 3-2. This work, uses the green boxes of Figure 3- The first papers published in damage detection were based on natural frequencies variations between the undamaged and damaged structures (Adams et al, 1975;Vandiver, 1977). Natural frequency-based methods use the FRF (Frequency Response Function) change as the basic feature for damage identification.…”
Section: Review Of Vibration Based Methodsmentioning
confidence: 99%
“…Structural health monitoring is the multidisciplinary process of implementing a strategy for damage identification in a way that non-destructive testing becomes an integral part of the structure (Ooijevaar, 2014). Figure 1-5 shows a simplified process, which consists of a diagnostic and a prognostic part.…”
Section: State Of Art Of Shm Systemsmentioning
confidence: 99%
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