A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Acoustic emission structural monitoring in noisy environments using event based processing
An acoustic emission (AE) system which employs event-based signal processing has been successfully tested on structures (bridges) which typically have high-noise environments. The AE system employs a three-step sequential test to discriminate between noise sources (pattern recognition). The AE system processes those signals 'on-the-fly' and notifies the AE operator in real-time of AE flaw activity. The AE system also indicates the flaw's relative location between two active transducers (linear flaw location). The AE system has been used on a variety of structural configurations on eight welded and riveted steel bridges. The structures were cyclically loaded by normal traffic. On structures containing visible cracks, the AE system was able to detect AE flaw activity eminating from the crack locations based on the three-step sequential test. During typical one-hour AE tests, the AE system was able to discriminate between one flaw-related AE event and up to 3.000 noise events. Based on those tests, the AE system shows the ability to detect AE flaw activity in structures such as bridges which have high-noise environments.
Acoustic emission structural monitoring in noisy environments using event based processing
An acoustic emission (AE) system which employs event-based signal processing has been successfully tested on structures (bridges) which typically have high-noise environments. The AE system employs a three-step sequential test to discriminate between noise sources (pattern recognition). The AE system processes those signals 'on-the-fly' and notifies the AE operator in real-time of AE flaw activity. The AE system also indicates the flaw's relative location between two active transducers (linear flaw location). The AE system has been used on a variety of structural configurations on eight welded and riveted steel bridges. The structures were cyclically loaded by normal traffic. On structures containing visible cracks, the AE system was able to detect AE flaw activity eminating from the crack locations based on the three-step sequential test. During typical one-hour AE tests, the AE system was able to discriminate between one flaw-related AE event and up to 3.000 noise events. Based on those tests, the AE system shows the ability to detect AE flaw activity in structures such as bridges which have high-noise environments.
Acoustic emission structural monitoring in noisy environments using event based processing
Ueberwachung von Konstruktionen mit der Schallemission in laermender Umgebung mit Signalverarbeitung auf Ereignisbasis
Hopwood, T. (author) / Prine, D.W. (author)
1986
5 Seiten, 5 Bilder, 3 Quellen
Conference paper
English
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