A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Wavelet-based multiresolution analysis coupled with deep learning to efficiently monitor cracks in concrete
2021
Frattura ed Integrità Strutturale
This paper proposes an efficient methodology to monitor the formation of cracks in concrete after non-destructive ultrasonic testing of a structure. The objective is to be able to automatically detect the initiation of cracks early enough, i.e. well before they are visible on the concrete surface, in order to implement adequate maintenance actions on civil engineering structures. The key element of this original approach is the wavelet-based multiresolution analysis of the ultrasonic signal
doi:10.3221/igf-esis.58.03
fatcat:p7n2udbgq5gctg3meczpwbcqu4