Impact localisation in composite plates of different stiffness impactors under simulated environmental and operational conditions
File(s)
Published version
Author(s)
Seno, Aldyandra Hami
Aliabadi, MH Ferri
Type
Journal Article
Abstract
A parametric investigation of the effect of impactor stiffness as well as environmental and operational conditions on impact contact behaviour and the subsequently generated lamb waves in composite structures is presented. It is shown that differing impactor stiffness generates the most significant changes in contact area and lamb wave characteristics (waveform, frequency, and amplitude). A novel impact localisation method was developed based on the above observations that allows for variations due to differences in impactor stiffness based on modifications of the reference database method and the Akaike Information Criterion (AIC) time of arrival (ToA) picker. The proposed method was compared against a benchmark method based on artificial neural networks (ANNS) and the normalised smoothed envelope threshold (NSET) ToA extraction method. The results indicate that the proposed method had comparable accuracy to the benchmark method for hard impacts under various environmental and operational conditions when trained only using a single hard impact case. However, when tested with soft impacts, the benchmark method had very low accuracy, whilst the proposed method was able to maintain its accuracy at an acceptable level. Thus, the proposed method is capable of detecting the location of impacts of varying stiffness under various environmental and operational conditions using data from only a single impact case, which brings it closer to the application of data driven impact detection systems in real life structures.
Date Issued
2019-08-22
Date Acceptance
2019-08-20
Citation
Sensors (Basel, Switzerland), 2019, 19 (17)
ISSN
1424-8220
Publisher
MDPI AG
Journal / Book Title
Sensors (Basel, Switzerland)
Volume
19
Issue
17
Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31443522
PII: s19173659
Subjects
composite materials
environmental conditions
impact detection
impactor stiffness
operational conditions
passive sensing
structural health monitoring
Publication Status
Published
Coverage Spatial
Switzerland
Article Number
ARTN 3659