创新及科技解决方案

解决方案描述

The development of modern industries has put forward new requirements for structural health monitoring, including high efficiency, high accuracy, and high reliability. Existing physical-model-based evaluation methods, such as using ultrasonic waves, developed on one specific material cannot be directly applied to other materials due to the different mechanical properties of the materials. Therefore, the application of the physical-model-based damage evaluation in different materials requires a large amount of modelling work, which is time-consuming and inefficient. Our proposed AI-based method can automatically determine the health state of the monitored structures (intact or damaged) by making use of the wave energy distribution features in the frequency domain. In conjunction with a proper imaging algorithm, the location of the damage can be identified. Independent of the mechanical properties of the material and wave propagation characteristics in the structures, this method can be applied to different materials, including metallic and composite materials. The AI-based cross-material structural health monitoring using ultrasonic waves focuses on solving the key requirements of potential partnerships including automotive, aviation, and ship manufacturers, civil infrastructure systems, energy industries, etc., developing effective communication and technical solution.