Abstract:
Structural Health Monitoring (SHM) refers to the process of implementing nondestructive autonomous in situ damage detection in engineering structures to evaluate the condition of existing structures to ensure the safety of users. Among the well established methodologies, the elastic guided Lamb wave-based SHM has gained a significant attention in the past few years because of the following properties: it is capable to inspect a large area of the structure in a short time, it is sensitive to small damage and discontinuities, it is able to identify both surface and internal damages, it consumes less energy, there is no need of transducers movement, it is quick and repeatable, and it is cost effective. While the advances in Lamb wave technologies have established the feasibility of guided Lamb wave based SHM, there remain several challenges for applications such as adaptive mesh generation, error estimation, denoising and signal analysis, etc.
