Journal article
On the applicability of acoustic emission to identify modes of damage in full-scale composite fuselage structures
Journal of composite materials, v 50(4), pp 447-469
01 Feb 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The acoustic emission method was applied during the testing of six full-scale sandwich composite aircraft fuselage panels containing through-the-thickness notches. The panels were subjected to different combinations of quasi-static internal pressure, the corresponding hoop loads, and longitudinal loads. The applicability of conventional acoustic emission signal feature analysis to identify the dominant modes of failure and extraneous emission in large composite structures was investigated. It was concluded that no clear distinction could be made among the different failure mechanisms based on the conventional acoustic emission signal features alone. Further, emission generated by fretting, either among fracture surfaces or of loading fixtures, has acoustic emission signal waveform features that are similar to those of damage-generated emission signals.
Metrics
Details
- Title
- On the applicability of acoustic emission to identify modes of damage in full-scale composite fuselage structures
- Creators
- Jonathan Awerbuch - Drexel UniversityFrank A. Leone - Langley Research CenterDidem Ozevin - University of Illinois at ChicagoTein-Min Tan - Drexel University
- Publication Details
- Journal of composite materials, v 50(4), pp 447-469
- Publisher
- Sage
- Number of pages
- 23
- Grant note
- 97-G-032 / FAA-Drexel Fellowship research program
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000368164200002
- Scopus ID
- 2-s2.0-84955104997
- Other Identifier
- 991019168747504721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Composites