Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact
Abstract
This study presents an artificial neural network (ANN) model for predicting the residual strength of carbon fibre reinforced composites (CFRCs) after low-velocity impact. First, a finite element (FE) model was developed addressing intra-laminar damage and inter-laminar delamination, to estimate low-velocity impact (LVI) and compression-after-impact (CAI) responses of CFRCs. The FE results in terms of load–displacement curves, damage patterns,...
Paper Details
Title
Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact
Published Date
Apr 12, 2021
Journal
Volume
28
Issue
3
Pages
809 - 833
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