Non-linear Ultrasonic and Thermal wave imaging methods for SHM and NDT of primary composite structures

Abstract

Accurate monitoring and inspection of large aircraft composite materials is a complex on-going challenge. This keynote lecture will give an overview of the state of the art of ultrasonic and thermal wave imaging in NDT1–3 and SHM4–6 of aircraft composite structures in the research field and in industrial application. This will be accompanied by our latest developments of an impact detection system applied to a large commercial aircraft wing, and of nonlinear acoustic-ultrasonic based non-destructive and structural health monitoring systems for the detection and imaging of barely visible impact damage7, creep, cracks and manufacturing defects in laminated materials8.

References

  1. Meo, M., Polimeno, U. & Zumpano, G. "Detecting damage in composite material using nonlinear elastic wave spectroscopy methods". Appl. Compos. Mater. 15, (2008).
  2. Fierro, G. P. M. & Meo, M. "Baseline-free estimation of the residual fatigue life using a modulated nonlinear ultrasound method. in Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring", IWSHM 2013 vol. 1 (2013).
  3. Fierro, G. P. M., Calla, D., Ginzburg, D., Ciampa, F. & Meo, M. "Nonlinear ultrasonic stimulated thermography for damage assessment in isotropic fatigued structures". J. Sound Vib. 404, (2017).
  4. Boccardi, S., Callá, D. B., Ciampa, F. & Meo, M. "Nonlinear elastic multi-path reciprocal method for damage localisation in composite materials". Ultrasonics 82, (2018).
  5. Malfense Fierro, G. P., Boccardi, S. & Meo, M. "Structural health monitoring for damage localization and imaging using a linear and nonlinear ultrasound subharmonic and modulation method. in Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT)". Proceedings of the 12th International Workshop on Structural Health Monitoring, vol. 1 (2019).
  6. Amerini, F. & Meo, M. "Structural health monitoring of bolted joints using linear and nonlinear acoustic/ultrasound methods". Struct. Heal. Monit. 10, (2011).
  7. Cuomo, S., De Simone, M. E., Andreades, C., Ciampa, F. & Meo, M. "Machine learning for impact detection on composite structures". in Materials Today: Proceedings (2019).
  8. Malfense Fierro, G. P., Flora, F., Boccaccio, M. & Meo, M. "Real-time automated composite scanning using forced cooling infrared thermography". Infrared Phys. Technol. 118, 103860 (2021).

 

Location: Building 19. Level 3, Hall 1-2.

Speakers

Michele Meo

Professor at the University of Southampton