Experimental data for loads on tunnel linings including distributed optical fiber sensing and digital image correlation

• Mode of collection: Laboratory experiment
• Description of the mode of collection: Distributed optical fiber sensors, photography, 3D-scanning, measurements for load cells, LVDTs and pressure gauges
• Data collector: Chalmers University of Technology
• Sample: CS50G
  Specimen loaded with a small cone, 50 mm thick concrete top layer and a ground substrate surface
• Sample: CS50H
  Specimen loaded with a small cone, 50 mm thick concrete top layer and a hydro-demolished substrate surface
• Sample: CS100H
  Specimen loaded with a small cone, 100 mm thick concrete top layer and a hydro-demolished substrate surface
• Sample: CS100G
  Specimen loaded with a small cone, 100 mm thick concrete top layer and a ground substrate surface
• Sample: CL50G
  Specimen loaded with a large cone, 50 mm thick concrete top layer and a ground substrate surface
• Sample: CL50H
  Specimen loaded with a large cone, 50 mm thick concrete top layer and a hydro-demolished substrate surface
• Sample: CL100G
  Specimen loaded with a large cone, 100 mm thick concrete top layer and a ground substrate surface
• Sample: CL100H
  Specimen loaded with a large cone, 100 mm thick concrete top layer and a hydro-demolished substrate surface
• Sample: BL50G
  Specimen loaded with a large lifting bag, 50 mm thick concrete top layer and a ground substrate surface
• Sample: BL50H
  Specimen loaded with a large lifting bag, 50 mm thick concrete top layer and a hydro-demolished substrate surface
• Sample: BL100G
  Specimen loaded with a large lifting bag, 100 mm thick concrete top layer and a ground substrate surface
• Sample: BL100H
  Specimen loaded with a large lifting bag, 100 mm thick concrete top layer and a hydro-demolished substrate surface
• Sample: BS50G
  Specimen loaded with a small lifting bag, 50 mm thick concrete top layer and a ground substrate surface
• 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
• Source of the data: Research data, Physical objects

Funding

• Funding agency: Swedish Transport Administration
• Funding agency's reference number: TRV2021/66599
• Project name on the application: SensIT - Verification and forecasting of technical functional requirements on concrete tunnel lining - sensor-based forecasting method with artificial intelligence
• 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.