Quantitative damage estimation method based on Lamb waves for transverse damage in composite laminates

M. Saqib Hameed; Zheng Li

doi:10.1117/12.2556405

18 May 2020 Quantitative damage estimation method based on Lamb waves for transverse damage in composite laminates

M. Saqib Hameed, Zheng Li

Author Affiliations +

Proceedings Volume 11381, Health Monitoring of Structural and Biological Systems XIV; 113811R (2020) https://doi.org/10.1117/12.2556405
Event: SPIE Smart Structures + Nondestructive Evaluation, 2020, Online Only

Abstract

The effective damage detection does not only require the location of damage but also the size. When a point or circular damage expands in size under stress state, it becomes thin and elongated to transform into a thin rectangular or elliptical slot. The methods introduced in this research use piezoelectric transducers (led zirconate titanate, PZT) to excite and sense the Lamb waves in composite laminate, which are highly sensitive to transverse cracks. The PZT transducers are arranged as a network of cells, and damage is estimated inside each cell separately. The Gabor wavelet-based continuous wavelet transformation (CWT) is used to process the complicated damage-scattered signals. The concept of centroid is used to locate the damage in two stages: the first stage locates the damaged subcell, and then the damage is accurately located in two-stage detection inside the damaged subcell. Based on accurately estimated location, the damage size is calculated using cubic spline curve (CSC) and elliptical parametric (EP) methods. These methods utilize the same arrangement of transducers, and the same data processing technique at all detection stages. The results indicate that EP method could quantify the damage size with more accuracy than the CSC method..

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M. Saqib Hameed and Zheng Li "Quantitative damage estimation method based on Lamb waves for transverse damage in composite laminates", Proc. SPIE 11381, Health Monitoring of Structural and Biological Systems XIV, 113811R (18 May 2020); https://doi.org/10.1117/12.2556405

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KEYWORDS

Transducers

Composites

Continuous wavelet transforms

Structural health monitoring

Damage detection

Signal processing

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