Numerical Simulation on Damage Mode Evolution in Composite Laminate
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 9
Abstract
The present work follows numerous numerical simulation on the stress field analysis in a cracked cross-ply laminate. These results lead us to elaborate an energy criterion. This criterion is based on the computation of the partial strain energy release rate associated with all the three damage types: transverse cracking, longitudinal cracking and delamination. The related criterion, linear fracture based approach, is used to predict and describe the initiation of the different damage mechanisms. With this approach the influence of the nature of the material constituent on the damage mechanism is computed. We also give an assessment of the strain energy release rates associated with each damage mode. This criterion checked on glass-epoxy and graphite-epoxy composite materials will now be used in future research on new bio-based composite in the laboratory.
Authors and Affiliations
Jean-Luc Rebière
Keywords
Related Articles
- EP ID EP137122
- DOI 10.14569/IJACSA.2014.050904
- Views 102
- Downloads 0
Enhancement of Passive MAC Spoofing Detection Techniques
Failure of addressing all IEEE 802.11i Robust Security Networks (RSNs) vulnerabilities enforces many researchers to revise robust and reliable Wireless Intrusion Detection Techniques (WIDTs). In this paper we propo...
Improving Recommendation Techniques by Deep Learning and Large Scale Graph Partitioning
Recommendation is very crucial technique for social networking sites and business organizations. It provides suggestions based on users’ personalized interest and provide users with movies, books and topics links that wo...
Study of Chaos in the Traffic of Computer Networks
Development of telecommunications technology currently determines the growth of research with an aim to find new solutions and innovative approaches to the mathematical description of the processes. One of the directions...
Comparative Performance of Deep Learning and Machine Learning Algorithms on Imbalanced Handwritten Data
Imbalanced data is one of the challenges in a classification task in machine learning. Data disparity produces a biased output of a model regardless how recent the technology is. However, deep learning algorithms, such a...
Intelligent Classification of Liver Disorder using Fuzzy Neural System
In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System (FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are explored for the detection of liver d...