Damage visualization of scattered ultrasonic wavefield via integrated highspeed camera system

Huan Yu Chang, Fuh Gwo Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, a damage was successfully visualized through scattered guided acoustic wavefield reconstructed via an integrated high-speed camera scanning system. By employing a sample interleaving and an image stitching technique, the data requisition rate for the high-speed camera was enhanced nearly 250 times in order to overcome the current limited performance due to inadequate on both spatial resolution and temporal resolution, i.e., sampling frequency, for guided wavefield measurement. Further, many experimental parameters, e.g., specimen design, field of view, speckle size and signal frequency, as well as the camera system were carefully designed, integrated and optimized to enable capture of propagating guided waves excited by a piezo actuator on a surface of the structure. As such the in-plane wave displacements could be maximized and extracted using digital image correlation (DIC). A very compliant HDPE plate with an added mass for mimicking damage was chosen for the proof of concept. The first fundamental SH and S0 guided wave modes under continuous wave excitation frequency of 14 kHz were successfully detected by the camera and extracted by DIC, and the disturbance at the damage region was clearly observed in the reconstructed scattered wavefield. A damage imaging condition named wavenumber index (WI) that was previously developed and applied to visualizing the hidden delamination in composites was further adapted and improved for the wavefield reconstructed via high-speed DIC.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages3112-3119
Number of pages8
ISBN (Electronic)9781605956015
DOIs
Publication statusPublished - 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: 2019 Sept 102019 Sept 12

Publication series

NameStructural 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
Volume2

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUnited States
CityStanford
Period19-09-1019-09-12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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