Articles | Volume 6, issue 2
https://doi.org/10.5194/jsss-6-389-2017
Special issue:
https://doi.org/10.5194/jsss-6-389-2017
Regular research article
 | 
19 Dec 2017
Regular research article |  | 19 Dec 2017

Inverse calculation of strain profiles from ETDR measurements using artificial neural networks

Robin Höhne, Pawel Kostka, and Niels Modler

Viewed

Total article views: 1,543 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
934 530 79 1,543 99 101
  • HTML: 934
  • PDF: 530
  • XML: 79
  • Total: 1,543
  • BibTeX: 99
  • EndNote: 101
Views and downloads (calculated since 19 Dec 2017)
Cumulative views and downloads (calculated since 19 Dec 2017)

Viewed (geographical distribution)

Total article views: 1,471 (including HTML, PDF, and XML) Thereof 1,469 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
This paper focuses on a novel carbon fibre sensor technology that exploits the low-cost and low-energy electrical reflectometry method for a spatially resolved strain measurement. The application of artificial neural networks for mapping the measured electrical signal to the existing strain profile is demonstrated. The potential and current limits are highlighted. The sensor is a promising part for the next generation of light-weight structures with operando health monitoring systems.
Special issue