Recent advances at CEA LIST for the development of guided waves HM solutions : Techniques, imaging and simulation
Résumé
Guided waves based Structural Health Monitoring (SHM) have motivated since several years an active research activity at CEA LIST, driven by industrial partnership in various sectors such as aircraft or energy. Ultrasonic guided waves, propagating on long distances, are well adapted to the monitoring of large structures with a limited density of sensors.
In this communication, we will present recent advances achieved in terms of techniques, data processing and simulation. We will present several applications of guided waves imaging techniques for detecting defects in plate-like structures or pipes. We will give a focus on tomographic techniques and we will demonstrate the potential of passive tomography. This technique exploits natural ambient noise on the structure and opens the way to the use of optical fibers as ultrasonic sensors.
Due to the complexity of the phenomena involved in GW-SHM, the availability of efficient modelling and simulation is a crucial issue. We will introduce the numerical code (based on spectral finite element method) currently developed at CEA LIST in the framework of the CIVA platform.
We will illustrate the capability of the code on several applications. In particular, we will show how computations can be used for the training of machine learning algorithms. As it is widely acknowledged, reliability assessment is one key challenge for the deployment of SHM solutions. We will show on examples what can bring how simulation can contribute to the construction of a methodology for the estimation of POD (Probability of detection).
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