• Corpus ID: 17785744

Composite Panel Damage Detection using Ultrasonic Testing and Neural Networks

@inproceedings{Kral2009CompositePD,
  title={Composite Panel Damage Detection using Ultrasonic Testing and Neural Networks},
  author={Zachary Tyler Kral and Walter Horn and James Edward Steck},
  year={2009}
}
For modern aircraft, wind turbines, and other aerospace structures composites are replacing metal components. These aerospace structures will be designed and expected to perform well for many years ahead. Therefore, structural health monitoring (SHM) systems are being designed to monitor these structures to improve maintenance, repairing or replacing composites components when the need arises. The focus of this research is on creating an SHM system, using ultrasonic testing methods to monitor… 

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References

SHOWING 1-10 OF 10 REFERENCES

Structural health monitoring using continuous sensors and neural network analysis

A method for damage detection in a plate structure is presented based on strain waves that are generated by foreign object impact on the structure, or by damage that is propagating in the structure.

Analysis of Smart Structures with Piezoelectric Strips Subjected to Unsteady Aerodynamic Loads

A method using piezoelectric strips bonded on thin structures to detect the presence of cracks for structural health monitoring is presented in this paper. The method uses pairs of piezoelectric

Ultrasonic Nondestructive Evaluation : Engineering and Biological Material Characterization

Mechanics of Elastic Waves and Ultrasonic NDE T. Kundu, University of Arizona, USA Modeling of Ultrasonic Field by Distributed Point Source Method D. Placko, Ecole Normale Superieure, Cachan, France

Differentiation of Damage and Failure Mechanisms of Co-Cured Fiber-Reinforced Composite Joints Using Acoustic Emission

Through feature-based acoustic emission (AE) analysis and supervised clustering, data acquired during monotonic loading can reveal damage initiation, development, and accumulation within a specimen.

Controlling acoustic-wave propagation through material anisotropy

Acoustic-wave velocity is strongly direction dependent in an anisotropic medium. This can be used to design composites with preferred acoustic-energy transport characteristics. In a unidirectional

Fundamentals of neural networks: architectures, algorithms, and applications

In this chapter seven Neural Nets based on Competition, Adaptive Resonance Theory, and Backpropagation Neural Net are studied.

Dispersion Curves in Guided Wave Testing

Nemat-Nassar, Controlling Acoustic-Wave Propagation Through Material Anisotropy, SPIE Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring

  • 2009

L Fausett, Fundamentals of Neural Networks: Architectures, Algorithms, and Applications

  • L Fausett, Fundamentals of Neural Networks: Architectures, Algorithms, and Applications
  • 1994

Structural health monitoring using continuous sensors and neural network analysis, Institute of Physics Publishing, Smart Material Structures

  • 2006