Skip to Main content Skip to Navigation
Conference papers

Passive guided wave tomography for pipes inspection

Abstract : Structural Health Monitoring (SHM) consists in embedding sensors in a structure like aircraft fuselages, pipes or ship hulls in order to detect defects (for example cracks or corrosion in metallic materials or delamination in composite materials) before a serious damage occurs in the structure. Guided elastic waves emitted by a sensor and propagating to another one are often used as the physical way of detecting the defect. However, the implementation of SHM systems is restricted in many situations by the necessity to store or to harvest the electric energy necessary to emit the waves and also by the intrusiveness of the sensors. Guided wave tomography imaging is able to localize and quantify the severity of the defect when it comes to loss of thickness such as corrosion or erosion. However, it needs many sensors (generally piezoelectric-PZT-transducers) and it has a cost, particularly in terms of intrusiveness. Passive guided wave tomography, which uses ambient ultrasonic waves that are naturally present in the structure, is a promising method to design an SHM system with minimal power consumption and intrusiveness since no energy is required to emit the waves. In this paper the application of passive tomography to pipe inspection and comparison with classical "active" guided waves tomography approach are described.
Complete list of metadata

https://hal-cea.archives-ouvertes.fr/cea-03283698
Contributor : Tom Druet Connect in order to contact the contributor
Submitted on : Monday, July 12, 2021 - 10:20:05 AM
Last modification on : Saturday, October 9, 2021 - 3:10:52 AM
Long-term archiving on: : Wednesday, October 13, 2021 - 6:18:52 PM

File

qnde-8606-druet.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : cea-03283698, version 1

Citation

Tom Druet, Huu Hoang, Bastien Chapuis, Emmanuel Moulin. Passive guided wave tomography for pipes inspection. QNDE2019 - 46th Annual Review of Progress in Quantitative Nondestructive Evaluation, Jul 2019, Portland, United States. pp.QNDE2019-1234. ⟨cea-03283698⟩

Share

Metrics

Record views

41

Files downloads

58