STP1353

    Identification of AE Sources by Using SiGMA-2D Moment Tensor Analysis

    Published: Jan 1999


      Format Pages Price  
    PDF Version (252K) 14 $25   ADD TO CART
    Complete Source PDF (5.6M) 14 $55   ADD TO CART


    Abstract

    Acoustic Emission (AE) is a phenomenon caused by the emission and propagation of elastic waves generated from micro-cracking. A procedure named “SiGMA” (simplified Green's function for moment tensor analysis) to identify the crack kinematics from AE waveforms has been developed recently. Using this procedure, the crack location, crack orientation and crack type can be determined. Computer software for the SiGMA procedure has been developed and applied in practice. To apply the SiGMA procedure for AE source inversion in a thin plate and other two-dimensional (2D) models, the SiGMA-2D procedure is proposed in this paper. The most distinctive feature of this procedure is projection of 3D moment tensor components onto a plane. For confirmation of SiGMA-2D solutions in practical AE waveforms, the in-plane uniaxial compression tests of plates, which are made by mortar having an internal through-thickness slit, are carried out. The results confirm the applicability of the SiGMA-2D procedure for elucidating the crack mechanisms in 2D models. Further, estimation of crack volume is proposed. For this purpose, the AE sensors are quantitatively calibrated using the Davies-bar technique. A laser opto-interferometer is used to measure the oscillation at the bar end. These results are applied to determination of micro-crack volume.

    Keywords:

    acoustic emission, waveform analysis, source inversion, moment tensor, eigenvalue analysis, micro-crack, SiGMA, Davies-bar, sensor calibration, crack volume


    Author Information:

    Shigeishi, M
    Associate Professor, Kumamoto University, Kumamoto,

    Ohtsu, M
    Professor, Kumamoto University, Kumamoto,


    Paper ID: STP15788S

    Committee/Subcommittee: E07.04

    DOI: 10.1520/STP15788S


    CrossRef ASTM International is a member of CrossRef.