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Published Subscription Original Research Special issue
Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer CompositesBy B. Sathyasri, P. Sudarsanam, B.V. Sai Trinath, P. Vinotha
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article →