Modeling the low-velocity impact characteristics of woven glass epoxy composite laminates using artificial neural networks

In this work, a new methodology based on artificial neural networks (ANN) has been developed to study the low-velocity impact characteristics of woven glass epoxy laminates of EP3 grade. To train and test the networks, multiple impact cases have been generated using statistical analysis of variance...

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Bibliographic Details
Main Authors: Mathivanan N. Rajesh, Mouli Chandra
Format: Article
Language:English
Published: De Gruyter 2012-12-01
Series:Journal of the Mechanical Behavior of Materials
Subjects:
Online Access:https://doi.org/10.1515/jmbm-2011-0026

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