| About this Abstract |
| Meeting |
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Symposium
|
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Presentation Title |
Damage Imaging in Stiffened Composite Panels by Ultrasonic Sparse Array Matched Field Processing |
| Author(s) |
Ali Zare Hosseinzadeh, Chengyang Huang, Francesco Lanza di Scalea |
| On-Site Speaker (Planned) |
Chengyang Huang |
| Abstract Scope |
Ultrasonic imaging techniques are typically deployed using plane-wave beamforming such as delay-and-sum or time backpropagation methods. In complex parts such as stiffened composite panels, wave refraction and dispersion effects complicate the beamforming process. In these cases, the complexity of the propagating waves can be leveraged for imaging the damage locations (wave scatterers) by using Matched Field Processing (MFP) techniques. These methods are effectively used in underwater acoustics but much less employed in NDE. This work will present active and passive techniques within an MFP framework using a sparse array of ultrasonic transducers to successfully image damage in a stiffened composite panel with both real and simulated damage. In particular, the passive approach allows to utilize a few transmitters located away from the inspection area and extract the impulse response function between any pair of receiving transducers. This information can then be used to construct an ambiguity function that pinpoints the location of damage with high accuracy. Techniques of dominant source projection, replica vector determination and adaptive weighting will be demonstrated to obtain maximum damage imaging performance in these complex parts. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |