On impact damage detection and quantification for CFRP laminates

Sultan, M. T. H. and Worden, K. and Pierce, S. G. and Hickey, D. and Staszewski, W. J. and Barton, Janice and Dulieu-Barton, J. M. and Hodzic, A. (2011) On impact damage detection and quantification for CFRP laminates. Mechanical Systems and Signal Processing, 25 (8). pp. 3135-3152. ISSN 0888-3270

Full text not available in this repository.Request a copy from the Strathclyde author

Abstract

The overall purpose of the research is to detect and attempt to quantify impact damage in structures made from composite materials. A study that uses simplified coupon specimens made from a Carbon Fibre-Reinforced Polymer (CFRP) prepreg with 11, 12 and 13 plies is presented. PZT sensors were placed at three separate locations in each test specimen to record the responses from impact events. To perform damaging impact tests, an instrumented drop-test machine was used and the impact energy was set to cover a range of 0.37–41.72 J. The response signals captured from each sensor were recorded by a data acquisition system for subsequent evaluation. The impacted specimens were examined with an X-ray technique to determine the extent of the damaged areas and it was found that the apparent damaged area grew monotonically with impact energy. A number of simple univariate and multivariate features were extracted from the sensor signals recorded during impact by computing their spectra and calculating frequency centroids. The concept of discordancy from the statistical discipline of outlier analysis is employed in order to separate the responses from non-damaging and damaging impacts. The results show that the potential damage indices introduced here provide a means of identifying damaging impacts from the response data alone.

Creators(s): Sultan, M. T. H., Worden, K., Pierce, S. G. ORCID logoORCID: https://orcid.org/0000-0003-0312-8766, Hickey, D., Staszewski, W. J., Barton, Janice, Dulieu-Barton, J. M. and Hodzic, A.;
Item type:Article
ID code:35356
Keywords:carbon fibre, prepreg, impact behaviour, mechanical testing, signal processing, outlier analysis, Electrical engineering. Electronics Nuclear engineering, Signal Processing, Civil and Structural Engineering, Mechanical Engineering, Control and Systems Engineering, Computer Science Applications, Aerospace Engineering
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Depositing user: Pure Administrator
Date deposited:27 Oct 2011 19:28
Last modified:20 Jan 2021 19:47
Related URLs:
URI:https://strathprints.strath.ac.uk/id/eprint/35356
Export data:
CORE (COnnecting REpositories)