Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
Characteristic Analysis of AE Signal Caused by Crack Growth
verfasst von : J. G. Kim, D. S. Gu, H. J. Kim, B. K. Choi
Erschienen in: Engineering Asset Management and Infrastructure Sustainability
Verlag: Springer London
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Acoustic emission (AE) is a well established non-destructive test technique. In this paper fatigue crack growth tests were performed using SM53C to evaluate the AE signals caused by crack. AE system was used to detect the crack signals. Feature values were calculated based on the AE signal analysis to evaluate the crack growth in three steps. The steps are divided into initiation, growth and breakage; and were classified according to the velocity of the crack growth. Both time and frequency plots were created using the AE signals of each step. In the feature domains, it was found that AE values changed rapidly as the velocity of crack increases.