CEA, LIST, F-91191 Gif-sur-Yvette, France.
IEMN UMR CNRS 8520, Université Polytechnique Hauts-de-France, F-59313 Valenciennes cedex 9, France.
J Acoust Soc Am. 2019 Oct;146(4):2395. doi: 10.1121/1.5128332.
In this paper the authors present a baseline-free quantitative method for imaging corrosion flaws in thin plates. It only requires an embedded guided wave sensor network used in a fully passive way, i.e., without active emission of waves. This method is called passive guided wave tomography. The aim of this development is the use of this method for the structural health monitoring of critical structures with heavy limitations on both sensor's intrusiveness and diagnostic's reliability because it allows the use of sensors that cannot emit elastic waves such as fiber Bragg gratings, which are less intrusive than piezoelectric transducers. The idea consists in using passive methods in order to retrieve the impulse response from elastic diffuse fields-naturally present in structures-measured simultaneously between the sensors. In this paper, two passive methods are studied: the ambient noise cross-correlation and the passive inverse filter. Once all the impulse responses between the sensors are retrieved, they are used as input data to perform guided wave tomography.
本文提出了一种用于薄板材腐蚀缺陷成像的无基线定量方法。它仅需要一个嵌入式导波传感器网络,以完全被动的方式使用,即无需主动发射波。这种方法称为被动导波层析成像。这种方法的目的是将其用于具有严格传感器侵入性和诊断可靠性限制的关键结构的结构健康监测,因为它允许使用不能发射弹性波的传感器,例如光纤布拉格光栅,其侵入性比压电换能器小。该方法的思路是使用被动方法从弹性漫射场中获取回波响应,弹性漫射场自然存在于结构中,并在传感器之间同时测量。本文研究了两种被动方法:环境噪声互相关和无源逆滤波器。一旦检索到所有传感器之间的回波响应,就将其用作输入数据来执行导波层析成像。