The present paper proposes a new diagnostic tool for the structural health monitoring that
employs a Kriging Interpolation. Structural health monitoring is a noticeable technology for aged civil
structures. Most of the structural health monitoring systems adopts parametric method based on
modeling or non-parametric method such as artificial neural networks or response surfaces. The
conventional methods require FEM modeling of structure or a regression model. This modeling needs
judgment of human, and it requires much costs. The present method does not require the process of
modeling, in order to identify the damage level using the discriminant analysis. This suggest us, this
technique is applicable to the health monitoring system, which identifies the damage of the structure,
easily. In the present paper, we developed the damage diagnostic methods using Kriging method for
identifying delamination from data. Kriging method is a interpolation technique which shown in
geostatistic. We applied this method to identifications of delamination crack of CFRP structure.
Delamination cracks are invisible and cause decrease of compression strength of laminated composites.
Therefore, health-monitoring system is required for CFRP laminates. The present study adopts an
electric potential method for health monitoring of graphite/epoxy laminated composites. The electric
potential method does not cause strength reduction and can be applied existing structures by low cost.
As a result, it was shown that this method is effective for identification of damages.
Detection of Delamination Crack for Polymer Matrix Composites with Carbon Fiber by Electric Potential Method
