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

我们已经开发了一种方法来估计的结构对象，如用于建筑物的桩，从声信号使用数字信号处理和智能处理的形状。用小锤子敲击埋在地下的物体头部，在同一头部安装拾波器，观察反射波。通过智能化处理，可以利用一定的参数合成反射波。将合成的反射波与观测到的反射波进行了比较。通过改变参数，寻找出与反射波最相似的参数。然后，可以通过波动方程从参数估计对象的形状。我们已经进行了许多计算机模拟和实验，使用混凝土桩，它被发现，桩的形状可以估计的估计误差为+10%。此外，可以估计桩的缺陷的位置和大小，估计误差为± 5%。

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%.