Structural health monitoring in composite structures by fiber-optic sensors

Guemes Gordo, Jesus Alfredo ORCID: https://orcid.org/0000-0002-6700-3455, Fernandez Lopez, Antonio ORCID: https://orcid.org/0000-0002-8825-2098, Fernandez Diaz-maroto, Patricia, Lozano Martin, Angel and Sierra Perez, Julian (2018). Structural health monitoring in composite structures by fiber-optic sensors. "Sensors", v. 18 (n. 4); p. 1094. ISSN 1424-8220. https://doi.org/10.3390/s18041094.

Description

Title: Structural health monitoring in composite structures by fiber-optic sensors
Author/s:
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2018
ISSN: 1424-8220
Volume: 18
Subjects:
Freetext Keywords: Structural health monitoring (SHM); distributed sensing; principal component analysis (PCA)
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Materiales y Producción Aeroespacial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Fiber-optic sensors cannot measure damage; to get information about damage from strain measurements, additional strategies are needed, and several alternatives are available in the existing literature. This paper discusses two independent procedures. The first is based on detecting new strains appearing around a damage spot. The structure does not need to be under loads, the technique is very robust, and damage detectability is high, but it requires sensors to be located very close to the damage, so it is a local technique. The second approach offers wider coverage of the structure; it is based on identifying the changes caused by damage on the strain field in the whole structure for similar external loads. Damage location does not need to be known a priori, and detectability is dependent upon the sensor?s network density, the damage size, and the external loads. Examples of application to real structures are given.

Funding Projects

Type
Code
Acronym
Leader
Title
Government of Spain
TRA2014-58263-C2-2-R
Unspecified
Unspecified
Integración y explotación de sistemas de autodiagnóstico y supervisión de salud estructural en vehículos en vehículos aéreos no tripulados

More information

Item ID: 52292
DC Identifier: https://oa.upm.es/52292/
OAI Identifier: oai:oa.upm.es:52292
DOI: 10.3390/s18041094
Official URL: http://www.mdpi.com/1424-8220/18/4/1094
Deposited by: Memoria Investigacion
Deposited on: 15 Nov 2018 12:07
Last Modified: 26 Apr 2019 08:35
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