Understanding and estimating the electrical resistance between surface electrodes on a UD carbon fibre-reinforced composite layer

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Acosta, J. David and Jalalvand, Meisam and Malik, Sheik Abdul and Hamilton, Andrew (2025) Understanding and estimating the electrical resistance between surface electrodes on a UD carbon fibre-reinforced composite layer. Journal of Composites Science, 9 (11). 615. ISSN 2504-477X (https://doi.org/10.3390/jcs9110615)

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Abstract

The potential for structural health monitoring (SHM) in fibre-reinforced polymers (FRPs) using electrical resistance measurements (ERMs) has gained increasing attention, particularly in carbon fibre-reinforced polymers (CFRPs). Most existing studies are limited to single-axis measurements on coupon-scale specimens, whereas industrial applications demand scalable solutions capable of monitoring large areas, with more complex sensing configurations. Structural health monitoring (SHM) of carbon fibre-reinforced polymers (CFRPs) using electrical resistance measurements offers a low-cost, scalable sensing approach. However, predicting surface resistance between arbitrarily placed electrodes on unidirectional (UD) CFRP laminates remains challenging due to anisotropic conductivity and geometric variability. This study introduces a practical analytical model based on two geometry-dependent parameters, effective width and effective distance, to estimate resistance between any two electrodes arbitrarily placed on UD CFRP laminates with 0° or 90° fibre orientations. Validation through finite element (FE) simulations and experimental testing demonstrates good matching, confirming the model’s accuracy across various configurations. Results show that the dominant electrical current path aligns with the fibre direction due to the material’s anisotropic conductivity, allowing simplification to a single-axis resistance model. The proposed model offers a reliable estimation of surface resistance and provides a valuable tool for electrode array configuration design in CFRP-based SHM. This work contributes to enabling low-cost and scalable electrical sensing solutions for the real-time monitoring of composite structures in aerospace, automotive, and other high-performance applications.

ORCID iDs

Acosta, J. David, Jalalvand, Meisam, Malik, Sheik Abdul ORCID logoORCID: https://orcid.org/0009-0003-7019-9799 and Hamilton, Andrew;
CORE (COnnecting REpositories)