Nondestructive Evaluation of Elastic Properties of Concrete Using Simulation of Surface Waves

Nondestructive evaluation using the propa- gation of an impact-induced surface wave can be effec- tively applied in estimating in situ material properties. In this study, to evaluate information of a surface waveform beyond the simple wave velocity, artificial intelligence en- gines are employed to estimate simulation parameters, that is, the properties of elastic materials. The developed artificial neural networks are trained with a numerical database having secured its stability. In the process, the appropriate shape of the force-time function for an im- pact load is assumed so as to avoid Gibbs phenomenon, and the proposed principal wavelet-component analysis accomplishes a feature extraction with a wavelet trans- formed signal. The results of estimation are validated with experiments focused on concrete materials.

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