No abstract

In this paper, we address the problem of automatic inspection of CFRP with complex surface using an ultrasonic technique. The 3D surface data are obtained by ultrasonic measurement, and then the inspection path is planned after the CAD model has been reconstructed. Defect position and size are figured out by analyzing C-Scan image. Characters of defect type are modeling according to A-wave data. Thereafter, an algorithm based on Multi-SVM is presented to classify defect types which use the energy character of defect dynamic waveform. Finally, application experiments are conducted to verify the validity and superiority of the method proposed in this paper.

This paper is aimed to study on the flexural performance of prestressed slab and prestressed composite slab ,in order to provide the reference in engineering.At first,the prestressed slab is loaded under unformly distributed load,and then prestressed plate deflection , crack measurements. According to the phenomenon and data of the test, the mechanical properties of prestressed slab is analyzed. The maximum deflection of prestressed slab satisfy the standard requirements under construction loads.

In this paper, the method of data compression in ultrasonic automatic inspection using integral wavelet transform is proposed. The compression method presented is performed through signal decomposition, thresholding of wavelet transform coefficients, signal reconstruction, evaluating and optimizing algorithm performance by parameters index . The experiments show that the method has the advantages of low computation complexity， fast compression rate， high compression ratio and small reconstruction difference when it is applied to A-Wave data compression.