City Research Online

A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection

Zhao, Y., Tinsley, L., Addepalli, S., Mehnen, J. and Roy, R. ORCID: 0000-0001-5491-7437 (2016). A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection. NDT & E International, 83, pp. 59-67. doi: 10.1016/j.ndteint.2016.06.003

Abstract

This paper introduces a coefficient clustering analysis method to detect and quantitatively measure damage occurring in composite materials using pulsed thermographic inspection. This method is based on fitting a low order polynomial model for temperature decay curves, which (a) provides an enhanced visual confirmation and size measurement of the damage, (b) provides the reference point for sound material for further damage depth measurement, (c) and reduces the burden in computational time. The performance of the proposed method is evaluated through a practical case study with carbon fibre reinforced polymer (CFRP) laminates which were subjected to a drop impact test with varying energy levels. A novel method for reducing an entire thermogram sequence into a single image is introduced, which provides an enhanced visualisation of the damage area.

Publication Type: Article
Publisher Keywords: NDT, Thermography, Impact damage assessment, Delamination
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Mathematics, Computer Science & Engineering
URI: http://openaccess.city.ac.uk/id/eprint/22119
[img]
Preview
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login