An improved sensor model for efficient guided wave based Structural Health Monitoring Simulation.

Sanjay Sharma (1) , Olivier Mesnil (1) , Bastien Chapuis (1) , Pierre Calmon (1)

1 LMC (CEA, LIST) - Laboratoire Méthodes CND (CEA, LIST)

Although much research has been accomplished in the Guided wave-based Structural Health monitoring (GW-SHM), reliability and performance demonstration remain one of the main challenges to overcome to ensure industry adoption. Currently, the performance of inspection systems is characterized by statistical analyses such as the Probability of Detection (POD). However, the experimental determination of POD curve for GW-SHM is expensive, burdensome and generally impractical. The simulation-based approach, called Model Assisted POD (MAPOD), is economically viable and appropriate for POD computation of GW-SHM. It requires efficient and validated simulation tools to generate large databases of various representative configurations. A transient spectral finite element scheme for GW-SHM has been recently developed and added to the CIVA software to enable large GW-SHM simulation campaigns. However, the current pin force model used for modelling thin piezoelectric transducers has a limited frequency range . In this communication, we propose here a new sensor model that is compatible with simulation constraints in terms of both fidelity and performances. In this study we validate the proposed sensor model and compare it with full Finite Element simulations of piezoelectric transducers as well as experimental measurements. The results show a good agreement between the proposed sensor model for a larger range of validity than previous models.

Domaines: Mécanique des structures [physics.class-ph]

Sanjay Sharma, Olivier Mesnil, Bastien Chapuis, Pierre Calmon. An improved sensor model for efficient guided wave based Structural Health Monitoring Simulation.. NDT 2021 - 13th International Symposium on NDT in Aerospace 2021, Oct 2021, Williamsburg (VA), United States. ⟨cea-04131479⟩