Lamb Wave-based Multi-damage Detection in Composite Panel using Delay-and-sum Algorithm

摘要

Lamb waves are widely used in damage detection of composite laminate. To fulfill the goal of damage detection and predicting remaining useful life for components required by Prognostics & Health Management (PHM), both the damage number identification, localization and quantitative damage size estimation are necessary. A strategy based on sub-region damage detection of sparse sensor array is proposed and the delay-and-sum algorithm is used for damage imaging and localization. Then a probability based method of classification of damage sizes hierarchically is put forward. At last, the damage imaging on a CF/EP composite panel correctly shows the health condition of every panel sub-region. Experimental results prove multi-damage is identified with precise locations and matched sizes.