Shape Estimation and Detection of Defects of a Structural Object from Acoustic Signal Using Digital Signal Processing and Intellectual Processing

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We have developed a method to estimate the shape of a structural object, such as a pile used for building, from acoustic signal using digital signal processing and intellectual processing. The head of an object, which was buried in the ground, was hit with a small hammer, and the reflection wave waas observed with a pick-up attached at the same head. By intellectual processing, the reflection wave could be synthesized using some parameters. The synthesized reflection wave and the observed reflection wave was compared with each other. By varying the parameters, the parameters ware searched, which offer the most similar reflection wave. Then, the shape of the object can be estimated from the parameters by the wave equation. We have carried out many computer simulations and experiments using concrete piles, and it is found that the shape of the pile can be estimated with an estimation error of +10%. Furthermore, the positions and the sizes of the defects of piles can be estimated with an estimation error of +5%.