1 publication

• Published Subscription Original Research 23 Sep 2026

  Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites

  By S. Amutha, R.K. Jeyauthmigha, S. Tephillah, N. Kanagavalli, V.S. Prakash, P.R. Therasa, S. Gayathri

  Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →