117
Views
0
CrossRef citations to date
0
Altmetric
Articles

Modal strain energy-based structural health monitoring validation on rib stiffened composite panels

ORCID Icon, , &
Pages 43-51 | Received 29 Nov 2016, Accepted 20 Feb 2017, Published online: 08 Jun 2017
 

Abstract

Structural Health Monitoring (SHM) techniques are emerging more and more in aerospace composite structure applications. Validation of the SHM techniques is one of the issues to be addressed yet. Moreover, cost-efficient and reproducible ways to compare SHM methods can be attractive for researchers and end users. NLR has recently developed ways for automated production of rib-stiffened composite panels using an Automated Fibre Placement (AFP) machine. Without human interference and a fully automated manufacturing process, multiple panels can be cost-effectively laid-up with limited quality variation. In this paper, Modal Strain Energy Damage Index (MSE-DI) method is applied on two impact-damaged panels manufactured in this new way. The results show that the panels have slightly deviating natural frequencies even though the C-scan revealed no major quality variation. Secondly, the presence of the impact damage can be successfully detected by the MSE-DI algorithm, but the localization was inaccurate, contradicting the expectations. This is attributed to the specific characteristics of the panel and indicates a dependency of the performance of algorithms on structure to which they are applied. Future work will include a further exploration of this dependency.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 751.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.