Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Fiber Bragg Grating Sensors for Reinforcing Bar Slippage Detection and Bond-Slip Gradient Characterization
Publication

Publications

Fiber Bragg Grating Sensors for Reinforcing Bar Slippage Detection and Bond-Slip Gradient Characterization

Title
Fiber Bragg Grating Sensors for Reinforcing Bar Slippage Detection and Bond-Slip Gradient Characterization
Type
Article in International Scientific Journal
Year
2022
Authors
Pereira, L
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Mesquita, E
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Alberto, N
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Marques, C
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Antunes, P
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Andre, PS
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Humberto Varum
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Journal
Title: SensorsImported from Authenticus Search for Journal Publications
Vol. 22 No. 4
Final page: 8866
ISSN: 1424-3210
Publisher: MDPI
Indexing
Other information
Authenticus ID: P-00X-JTH
Abstract (EN): The detection of bond-slip between the reinforcing bar (RB) and concrete is of great importance to ensure the safety of reinforced concrete (RC) structures. The techniques to monitor the connection between the RB and concrete are in constant development, with special focus on the ones with straightforward operation and simple non-intrusive implementation. In this work, a simple configuration is developed using 10 optical fiber sensors, allowing different sections of the same RC structure to be monitored. Since the RB may suffer different strains along its length, the location of the sensors is critical to provide an early warning about any displacement. Bragg gratings were inscribed in both silica and polymer optical fibers and these devices worked as displacement sensors by monitoring the strain variations on the fibers. The results showed that these sensors can be easily implemented in a civil construction environment, and due to the small dimensions, they can be a non-intrusive technique when multiple sensors are implemented in the same RC structure.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 12
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

yy Optical Fiber Temperature Sensors and Their Biomedical Applications (2020)
Another Publication in an International Scientific Journal
Roriz, P; Susana Silva; Frazao, O; Novais, S
Wearable Health Devices-Vital Sign Monitoring, Systems and Technologies (2018)
Another Publication in an International Scientific Journal
Dias, D; Cunha, JPS
Visualization of Urban Mobility Data from Intelligent Transportation Systems (2019)
Another Publication in an International Scientific Journal
Sobral, T; Teresa Galvão Dias; José Luís Moura Borges
Visual Sensor Networks and Related Applications (2019)
Another Publication in an International Scientific Journal
Costa, DG; Francisco Vasques; Collotta, M
Urban Safety: An Image-Processing and Deep-Learning-Based Intelligent Traffic Management and Control System (2021)
Another Publication in an International Scientific Journal
Selim Reza; Hugo S. Oliveira; José J. M. Machado; João Manuel R. S. Tavares

See all (228)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-08-09 at 20:15:30 | Privacy Policy | Personal Data Protection Policy | Whistleblowing