AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (562.4 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Regular | Open Access

Structural Health Monitoring of Different Geometry Structures With Optical Fiber Sensors

Paulo ANTUNES1,2( )Hugo RODRIGUES3Rui TRAVANCA3Licínio FERREIRA2Humberto VARUM3Paulo ANDRÉ1,2
Instituto de Telecomunicações, Campus de Santiago, 3810-193 Aveiro, Portugal
Departamento de Física, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
Departamento de Engenharia Civil, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
Show Author Information

Abstract

In this paper, we describe the structural health monitoring of several structures, with different geometry, materials and behaviors, using optical fiber sensors. Those studies aimed to demonstrate the feasibility of such technologies in structural health monitoring, with all the advantages inherent to the optical fiber technology.

References

【1】
【1】
 
 
Photonic Sensors
Pages 357-365

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
ANTUNES P, RODRIGUES H, TRAVANCA R, et al. Structural Health Monitoring of Different Geometry Structures With Optical Fiber Sensors. Photonic Sensors, 2012, 2(4): 357-365. https://doi.org/10.1007/s13320-012-0094-z

230

Views

12

Downloads

8

Crossref

N/A

Web of Science

8

Scopus

0

CSCD

Received: 17 August 2012
Revised: 03 September 2012
Published: 13 October 2012
© The Author(s) 2012.

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.