TOWARDS REAL-TIME STRUCTURAL HEALTH MONITORING DAMAGE DETECTION WITHOUT USER INPUT
File(s)Final_Contribution_msv09.pdf (389.97 KB)
Accepted version
Author(s)
Salmanpour, MS
Sharif Khodaei, Z
Aliabadi, MH
Type
Conference Paper
Abstract
In this work a real-time damage detection platform is presented, requiring little to
no user input after initial installation and set-up. Diagnostic ultrasonic signals are generated
using attached piezoelectric transducers, which also serve to capture the structural response.
This paper shows real-time detection in a flat CFRP panel. The necessary data acquisition
and signal processing is carried out in an automated manner. A visualization of the damage
map is then given as the primary output highlighting the predicted damage location. The developed
system is flexible in allowing scalable deployment to cater for an increased number
of transducers. The detection platform is experimentally demonstrated by real-time localization
of artificial damages at various locations on a CFRP panel. This was also done under
operational environment vibration loading, yielding accurate damage localization.
no user input after initial installation and set-up. Diagnostic ultrasonic signals are generated
using attached piezoelectric transducers, which also serve to capture the structural response.
This paper shows real-time detection in a flat CFRP panel. The necessary data acquisition
and signal processing is carried out in an automated manner. A visualization of the damage
map is then given as the primary output highlighting the predicted damage location. The developed
system is flexible in allowing scalable deployment to cater for an increased number
of transducers. The detection platform is experimentally demonstrated by real-time localization
of artificial damages at various locations on a CFRP panel. This was also done under
operational environment vibration loading, yielding accurate damage localization.
Date Issued
2016-06-05
Date Acceptance
2016-03-03
Copyright Statement
© the authors
Source
ECCOMAS Congress 2016
Publication Status
Accepted
Start Date
2016-06-05
Finish Date
2016-06-10
Coverage Spatial
Crete Island, Greece