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Two-dimensional strain field data from Distributed Optical Fibre Sensors in a wall element - Strain data from distributed optic fibre sensors of a wall element loaded under three-point test

https://doi.org/10.5878/r6t3-5w03
The data available provides information of the strain fields in a wall element under loading. The data describes strains in three direction of the mid-plane section of the wall. The data was retrieved during the testing of the wall element in a three point test configuration. The information about the applied load is as well included in the data set. The data included in this dataset basically consists in strain measurement of fibre optic sensor, i.e. BRUSens V9 cables, deployed in a multi-layer configuration at the mid-section of a wall element. The equipment to measure the strains from the sensors is an ODISI 6004 from Luna ink. which uses the Rayleight backscatter technology. The dataset is available in MatLab and JSON file formats.
Download data and documentation (6 files / 93.85 MiB)

Data files

  • data_JSON
    67.29 MiB
  • data_matlab.mat
    26.34 MiB

Documentation files

  • Figure_1.pdf
    56.85 KiB
  • Figure_2.pdf
    78.12 KiB
  • Figure_3.pdf
    82.85 KiB
  • read_me.txt
    1.3 KiB

Citation and access

Data access level:

Creator/Principal investigator(s):

Research principal:

Data contains personal data:

No

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Method and outcome

Data format/data structure:

Administrative information

Responsible department/unit:

Architecture and Civil Engineering

Funding

Funding agency:

  • Smart Built Environment

Award number:

2019-01793

Award title:

Effective management and maintenance of infrastructure with augmented reality

Topic and keywords

Standard för svensk indelning av forskningsämnen 2025:

Keywords:

Publications

Citation:

Ignasi Fernandez, Carlos G. Berrocal, Rasmus Rempling, Two-dimensional strain field analysis of reinforced concrete D-regions based on distributed optical fibre sensors, Engineering Structures, Volume 278, 2023, 115562, ISSN 0141-0296, https://doi.org/10.1016/j.engstruct.2022Opens in a new tab.

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Metadata

Version 1
doris
chalmers
Published: