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Data · dataset · 2025

Classification of Damage Signatures in Composite Plates using On

Listed in NASA Data Portal

Damage characterization through wave propagation and scattering is of considerable interest to many non-destructive evaluation techniques.

Description

For fiber-reinforced composites, complex waves can be generated during the tests due to the non-homogeneous and anisotropic nature of the material when compared to isotropic materials. Additional complexities are introduced due to the presence of the damage and thus results in difficulty to characterize these defects.

The inability to detect damage in composite structures limits their use in practice. A major task of structural health monitoring is to identify and characterize the existing defects or defect evolution through the interactions between structural features and multidisciplinary physical phenomena. In a wave-based approach to addressing this problem, the presence of damage is characterized by the changes in the signature of the resultant wave that propagates through the structure.

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In order to measure and characterize the wave propagation, we use the response of the surface-mounted piezoelectric transducers as input to an advanced machine-learning based classifier known as a support vector machine.

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NASA Data Portal351cdd35-1783-4246-af67-093b4bdfd70d12 d agoJSON v1
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descriptionsource · data nasa govconnector:data_nasa_gov@1.0.0/notes
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
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updated_datesource · data nasa govconnector:data_nasa_gov@1.0.0