Distributed Optic Fibre Sensor data, Digital Image Correlation data and Actuator data.
type: Dataset
description: The implementation of structural health monitoring systems in existing civil engineering structures could contribute to a safer and more resilient infrastructure as well as important savings. Due to their light weight, small size, and high resistance to the environment, distributed optical fibre sensors (DOFS) stand out as a very promising technology for damage detection and quantification in reinforced concrete structures. This dataset includes information of DOFS featuring an external polymeric cladding with rough surface, deployed in a stainless-steel reinforced concrete beam subjected to four-point bending. Several sensor positions, both embedded in the concrete and attached to the surface, are included in a multilayer configuration. The data of the sensors includes two series of test, first cyclic loading under service loads and lastly cyclic loading to failure. Additionally, data from Digital Image Correlation and the actuator recordings are included for cross-validation purposes. The data included in this dataset basically consists in strain measurement of fibre optic sensor, i.e. BRUSens V9 cable, attached at different places on a Stainless-steel Reinforced Concrete Beam. The equipment to measure the strains of the sensor is an ODISI 6004 from Luna ink. which uses the Rayleight backscatter technology. In addition, Digital Image Correlation data is included offering mid-span deflections of the beam. The equipment used for the acquisition of the images and the corresponding displacement fields is a ARAMIS from GOM technologies, that features two 12 MP cameras. The dataset is available in MatLab and GNU Octave/txt (https://www.gnu.org/software/octave/index) formats.
citation: CreativeWork
  name: Fernandez, I., Gil Berrocal, C., Almfeldt, S., & Rempling, R. (2022). Monitoring of new and existing stainless-steel reinforced concrete structures by clad distributed optical fibre sensing. In Structural Health Monitoring (Vol. 22, Issue 1, pp. 257–275). https://doi.org/10.1177/14759217221081149
conditions of access: http://publications.europa.eu/resource/authority/access-right/PUBLIC
conditions of access: info:eu-repo/semantics/openAccess
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Ignasi Fernandez
date modified: 2025-10-29
date published: 2022-03-04
funding: Sensor Driven Cloud Based Strategies for Infrastructure Management
  type: Grant
  identifier: TRV/BBT 2017-028
  funder: Swedish Transport Administration
language: English
is part of: https://doi.org/10.5878/9ex1-he18
keywords: Construction Management
  type: DefinedTerm
  description: Including: Environmental Analysis and Construction Information Technology
  term code: 20102
keywords: Other Civil Engineering
  type: DefinedTerm
  term code: 20199
keywords: DOFS
keywords: Distributed Optic Fibre Sensing
license: https://opendatacommons.org/licenses/pddl/1-0/
publisher: Chalmers University of Technology
distribution: data/BD_data.txt
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  conditions of access: info:eu-repo/semantics/openAccess
  content size: 436195662
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distribution: data/paper_data.mat
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  conditions of access: info:eu-repo/semantics/openAccess
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distribution: documentation/Figure1a.pdf
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distribution: documentation/Figure2.pdf
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distribution: documentation/read_me.txt
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version: 1

PropertyValue
property ID: DOI
value: 10.5878/rnn3-dy47

principalRegistrationNumber
type: PropertyValue
property ID: https://www.rikstermbanken.se/termposter/1848/diarienummer
value: SenseIT

PropertyValue
property ID: DOI
value: 10.1177/14759217221081149

Ignasi Fernandez
type: Person
affiliation: Chalmers University of Technology
family name: Fernandez
given name: Ignasi

Chalmers University of Technology
type: Organization
department: Architecture and Civil Engineering

Swedish Transport Administration
type: Organization

English
type: Language
alternate name: eng