Experimental data for loads on tunnel linings including distributed optical fiber sensing and digital image correlation
SND-ID: 2023-234.
Version: 1.
DOI: https://doi.org/10.5878/dvcn-bg03
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August Jansson
- Chalmers University of Technology, Architecture and Civil engineering
The data is collected during experiments that aims to reproduce loading conditions in shotcrete tunnel linings. The data includes strain measurements from distributed optical fiber sensors, image series taken simultaneously by two cameras for digital image correlation purposes and load-, displacement- and pressure measurements by load cells, LVDTs and pressure gauges respectively. Supplementary data including material testing and 3D-scans before and after each run is also included. The material testing data includes concrete cube compression tests, wedge splitting tests and tensile tests of cores drilled from the main specimens. A detailed description of the experimental setup and execution is described in the data paper:
- Mode of collection: Laboratory experiment
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Description of the mode of collection:
Distributed optical fiber sensors, photography, 3D-scanning, measurements for load cells, LVDTs and pressure gauges
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Data collector:
Chalmers University of Technology
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Sample:
CS50G
Specimen loaded with a small cone, 50 mm thick concrete top layer and a ground substrate surface
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Sample:
CS50H
Specimen loaded with a small cone, 50 mm thick concrete top layer and a hydro-demolished substrate surface
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Sample:
CS100H
Specimen loaded with a small cone, 100 mm thick concrete top layer and a hydro-demolished substrate surface
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Sample:
CS100G
Specimen loaded with a small cone, 100 mm thick concrete top layer and a ground substrate surface
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Sample:
CL50G
Specimen loaded with a large cone, 50 mm thick concrete top layer and a ground substrate surface
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Sample:
CL50H
Specimen loaded with a large cone, 50 mm thick concrete top layer and a hydro-demolished substrate surface
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Sample:
CL100G
Specimen loaded with a large cone, 100 mm thick concrete top layer and a ground substrate surface
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Sample:
CL100H
Specimen loaded with a large cone, 100 mm thick concrete top layer and a hydro-demolished substrate surface
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Sample:
BL50G
Specimen loaded with a large lifting bag, 50 mm thick concrete top layer and a ground substrate surface
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Sample:
BL50H
Specimen loaded with a large lifting bag, 50 mm thick concrete top layer and a hydro-demolished substrate surface
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Sample:
BL100G
Specimen loaded with a large lifting bag, 100 mm thick concrete top layer and a ground substrate surface
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Sample:
BL100H
Specimen loaded with a large lifting bag, 100 mm thick concrete top layer and a hydro-demolished substrate surface
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Sample:
BS50G
Specimen loaded with a small lifting bag, 50 mm thick concrete top layer and a ground substrate surface
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Sample:
BS50H
Specimen loaded with a small lifting bag, 50 mm thick concrete top layer and a hydro-demolished substrate surface
-
Sample:
BS100G
Specimen loaded with a small lifting bag, 100 mm thick concrete top layer and a ground substrate surface
-
Sample:
BS100H
Specimen loaded with a small lifting bag, 100 mm thick concrete top layer and a hydro-demolished substrate surface
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Source of the data:
Research data, Physical objects
Architecture and Civil Engineering
Ignasi Fernandez
- Chalmers University of Technology, Architecture and Civil Engineering
Carlos Gil Berrocal
- Chalmers University of Technology, Architecture and Civil Engineering
Rasmus Rempling
- Chalmers University of Technology, Architecture and Civil Engineering
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Funding agency:
Swedish Transport Administration
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Funding agency's reference number:
TRV2021/66599
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Project name on the application:
SensIT - Verification and forecasting of technical functional requirements on concrete tunnel lining - sensor-based forecasting method with artificial intelligence
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Funding information:
The purpose of the project is to contribute to the development of methods for information acquisition via sensors that can be used to forecast and verify technical functional requirements using Artificial Intelligence.
The starting point and background are tunnel casings of fibre-reinforced shotcrete. The construction consists of a complex material and there is often a lack of detailed information about the surrounding mountains. The material and the rock work together as the load-bearing system, which together gives an uncertainty about its function.