Abstract
Impact-induced damage in fiber-reinforced laminated composite plates is characterized. An instrumented impact tower was used to carry out low-velocity impacts on thirteen clamped glass/epoxy composite plates. A range of impact energies was experimentally investigated by progressively varying impactor masses (holding the impact height constant) and varying impact heights (holding the impactor mass constant). The in-plane strain profiles as measured by polyvinylidene fluoride (PVDF) piezoelectric sensors are shown to indicate damage initiation and to correlate to impact energy. Plate damage included matrix cracking, fiber breakage, and delamination. Electronic shearography validated the existence of the impact damage and demonstrated an actual damage area larger than visible indications. The strain profiles that are associated with damage were replicated using an in-house finite element code. Using these simulated strain signatures and the shearography results, a backpropagation artificial neural network (ANN) is shown to detect and classify the type and severity of damage. © IOP Publishing Ltd.
Recommended Citation
S. E. Watkins et al., "Impact-induced Damage Characterization Of Composite Plates Using Neural Networks," Smart Materials and Structures, vol. 16, no. 2, pp. 515 - 524, article no. 033, IOP Publishing, Apr 2007.
The definitive version is available at https://doi.org/10.1088/0964-1726/16/2/033
Department(s)
Electrical and Computer Engineering
Second Department
Mechanical and Aerospace Engineering
International Standard Serial Number (ISSN)
1361-665X; 0964-1726
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 IOP Publishing, All rights reserved.
Publication Date
01 Apr 2007
Included in
Aerospace Engineering Commons, Electrical and Computer Engineering Commons, Mechanical Engineering Commons
