Time reverse modeling versus automatic onset detection: A study on the localization of acoustic emissions in reinforced concrete

Abstract

Acoustic emissions (AE) are localized using two different signal-based approaches consisting in: An iterative algorithm based on the Akaike Information Criterion (AIC) and time reverse modeling (TRM). Thereto, physical experiments (four- and three-point-bending tests) were carried out on large scale reinforced concrete (RC) slabs with the dimensions of 2620 × 800 × 200 mm. AE were recorded during the entire loading history. The AE sources were localized successfully by both methods from the AE waveforms. It is the fi rst time that time reverse modeling was used to successfully localize AE sources in RC slabs. The results of the AIC-based and TRM localization are compared and discussed. © RILEM 2013.