Acoustic emission moment tensor analysis: development for crack identification in concrete materials

Estimation of cracking and damage mechanisms in rock under triaxial compression by moment tensor analysis of acoustic emission

“…Shigeishi and Ohtsu [22] proposed that the damage evolution process should be estimated relatively from the sum of the trace components of the moment tensors. The relative crack volume can be obtained by Eq.…”

“…However, the application of the moment tensor analysis to rock mechanics has been limited to only uniaxial compression tests and three-point bending tests [18,20]. In addition, previously applied methods for focal mechanism and moment tensor analysis are thought to be ineffective in handling and processing of many AE data [22]. Therefore, the failure mechanisms and characteristics of deformation in rock should be investigated under triaxial compression as well as uniaxial compression.…”

Modeling of Fracture and Damage in Rock by the Bonded-Particle Model

“…The recent studies to evaluate damaged rocks include numerical analyses (Yun, 2002;Hazzard et al, 2000;Homand et al, 1998), experimentally quantifying damage characteristics in rocks (Martin & Chandler, 1994;Eberhardt, 1998) and the moment tensor analysis (Ohtsu, 1991;Ohtsu, 1995;Shigeishi & Ohtsu, 2001). Especially, the moment tensor analysis has been recently applied to estimate crack and damage progression in rocks.…”

Study of fracture evolution in FRP-strengthened reinforced concrete beam under cyclic load by acoustic emission technique: An integrated mechanical-acoustic energy approach

“…AE is based on detection of elastic waves that originates due to release of stored strain energy during fracture and propagates inside a material. Numerous studies have been conducted on estimation or assessing the mechanical performance of structural elements [12][13][14][15]. Various techniques are available in analyzing AE data in terms of count and count rates such as spectral analysis, amplitude distribution analysis, autocorrelation function and root mean square (RMS) signal analysis [16,17].…”

“…Various techniques are available in analyzing AE data in terms of count and count rates such as spectral analysis, amplitude distribution analysis, autocorrelation function and root mean square (RMS) signal analysis [16,17]. One of the most promising and efficient methods in data analyzing in acoustic emission by means of crack characterization is AE-SiGMA (Acoustic Emission-Simplified Green's Functions for Moment Tensor Analysis) [12][13][14][15][18][19][20][21]. AE-SiGMA is applied to identify AE sources in order to classify micro-crack formations into tensile, shear and mixed mode.…”