Journal
APPLIED COMPOSITE MATERIALS
Volume 29, Issue 3, Pages 1321-1348Publisher
SPRINGER
DOI: 10.1007/s10443-022-10014-7
Keywords
Lightning Strike Damage; Wind Turbine Blades; Multiphysics Finite Element Model; Joule Heating; Dielectric Breakdown
Categories
Funding
- Marie Sklodowska Curie Actions, Innovative Training Networks (ITN) [642771]
- Marie Curie Actions (MSCA) [642771] Funding Source: Marie Curie Actions (MSCA)
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In response to increasing global energy demands, Wind Turbine manufacturers are producing turbines with longer blades to generate more electrical energy. Carbon Fibre Reinforced Polymers (CFRP) have been introduced to lightweight these blades, posing new challenges in lightning protection. This paper develops and validates a modeling approach to predict lightning damage in CFRP materials.
To meet worldwide increases in energy demands Wind Turbine (WT) manufacturers are producing turbines with longer blades to generate more electrical energy. To lightweight these blades, Carbon Fibre Reinforced Polymers (CFRP) have been introduced in load carrying structures such as the WT blade sparcaps. The introduction of CFRPs presents new challenges in integrating protection from lightning strikes. The semi-conductive nature of CFRPs adds an additional electrical path to ground, and the anisotropic nature of the material properties, in particular the thermal and electrical conductivities, creates large amounts of resistive heating. The aim of this paper is to develop and validate a modelling approach to predict lightning damage in unidirectional (UD) CFRP materials. The proposed model uses an approximate approach that includes the electric field dependency to simulate dielectric breakdown. The model predictions are validated against experimental data and observations obtained from simulated direct lightning strike tests conducted on UD CFRP laminates. A comparison between the experimental results and the proposed model shows good ability to accurately predict the shape, volume, and depth of the inflicted damage. Furthermore, the proposed model is benchmarked against conventional damage models reported in literature, and a clear improvement of the predictive capability is demonstrated, especially with respect to the predicted depth of damage.
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