Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7892251 | Composites Part A: Applied Science and Manufacturing | 2014 | 30 Pages |
Abstract
The analysis of the acoustic emission data by using clustering methodology allowed categorizing three populations of damage mechanisms. Identification of the damage mechanisms was made by correlation of the tensile loading curves with acoustic emission data and by optical observations. Different damage parameters defined from the mechanical data (released elastic energy) were compared with those from acoustic data (energy of the hits). The results showed that the extension of damage vs. deformation can be expressed by using either of these two data sets.
Related Topics
Physical Sciences and Engineering
Materials Science
Ceramics and Composites
Authors
Antoine Barbulée, Jean-Paul Jernot, Joël Bréard, Moussa Gomina,