Optimum electrode configurations for two-probe, four-probe and multi-probe schemes in electrical resistance tomography for delamination identification in carbon fiber reinforced composites

8Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Internal damage in Carbon Fiber Reinforced Polymer (CFRP) composites modifies the internal electrical conductivity of the composite material. Electrical Resistance Tomography (ERT) is a non-destructive evaluation (NDE) technique that determines the extent of damage based on electrical conductivity changes. Implementation of ERT for damage identification in CFRP composites requires the optimal selection of the sensing sites for accurate results. This selection depends on the measuring scheme used. The present work uses an effective independence (EI) measure for selecting the minimum set of measurements for ERT damage identification using three measuring schemes: two-probe, four-probe and multi-probe. The electrical potential field in two CFRP laminate layups with 14 electrodes is calculated using finite element analyses (FEA) for a set of specified delamination damage cases. The measuring schemes consider the cases of 14 electrodes distributed on both sides and seven electrodes on only one side of the laminate for each layup. The effectiveness of EI reduction is demonstrated by comparing the inverse identification results of delamination cases for the full and the reduced sets using the measuring schemes and electrode sets. This work shows that the EI measure optimally reduces electrode and electrode combinations in ERT based damage identification for different measuring schemes.

Cite

CITATION STYLE

APA

Escalona-Galvis, L. W., Diaz-Montiel, P., & Venkataraman, S. (2018). Optimum electrode configurations for two-probe, four-probe and multi-probe schemes in electrical resistance tomography for delamination identification in carbon fiber reinforced composites. Journal of Composites Science, 2(2). https://doi.org/10.3390/jcs2020029

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free