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

SND-ID: 2022-121-1. Version: 1. DOI:


Creator/Principal investigator(s)

Ignasi Fernandez - Chalmers University of Technology, Architecture and Civil Engineering orcid

Research principal

Chalmers University of Technology - Architecture and Civil Engineering rorId


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.

Data contains personal data



Method and outcome

Data format / data structure

Data collection
Geographic coverage
Administrative information

Responsible department/unit

Architecture and Civil Engineering


  • Funding agency: Smart Built Environment
  • Funding agency's reference number: 2019-01793
  • Project name on the application: Effective management and maintenance of infrastructure with augmented reality
Topic and keywords

Research area

Engineering and technology (Standard för svensk indelning av forskningsämnen 2011)

Civil engineering (Standard för svensk indelning av forskningsämnen 2011)

Other civil engineering (Standard för svensk indelning av forskningsämnen 2011)


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,

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Published: 2023-01-11