Data supporting: Experimental study and analytical method of reinforced UHPFRC-NC composite beams considering shrinkage
- 1. Institute of Structural Engineering, TU Wien, Karlsplatz 13/212-2, Vienna, Austria
- 2. Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing 400045, China
- 3. School of Civil Engineering, Chongqing University, Chongqing 400045, China
Contributors
Other:
Producer:
Supervisor:
- 1. Key Laboratory of New Technology for Construction of Cities in Mountain Areas (Chongqing University), Ministry of Education, Chongqing 400045, China
- 2. School of Civil Engineering, Chongqing University, Chongquing 400045, China
- 3. Institute of Material Technology, Building Physics and Building Ecology, TU Wien, Karlsplatz 13/207-1, Vienna, Austria
- 4. Institute of Structural Engineering, TU Wien, Karlsplatz 13/212-2, Vienna, Austria
Description
Dataset for paper: Experimental study and analytical method of reinforced UHPFRC-NC composite beams considering shrinkage
This dataset originates from an experimental study investigating the effect of shrinkage strain on the structural behavior of composite beams made of a reinforced ultra-high performance fiber-reinforced concrete (UHPFRC) bottom layer with normal strength concrete (NC) on top. Five composite beams were tested under four-point bending, varying the layer heights and reinforcement areas to examine the impact of the UHPFRC/NC ratio and reinforcement ratio on flexural performance.
Distributed fibre optical sensors (DFOS) were installed on the top side of the tensile reinforcement before casting to measure steel rebar deformations due to shrinkage restrained by the reinforcement and differing shrinkage behaviors of the two concrete layers. During loading, data from four load cells, five displacement transducers, and five strain gauges installed at the bottom of each tensile reinforcement were recorded, alongside continuous DFOS measurements.
This data collection is provided to support reuse in future research. For detailed information on the data files and variables, please refer to the included ReadMe.txt file.
The paper is expected to be published by the end of September at the latest.
Files
Dataset.zip
Additional details
Funding
- National Natural Science Foundation of China
- 52278145
- National Natural Science Foundation of China
- 52578171