Abstract
Adding steel fibers to concrete improves the capacity in tension-driven failure modes. An example is the shear capacity in steel fiber reinforced concrete (SFRC) beams with longitudinal reinforcement and without shear reinforcement. Since no mechanical models exist that can fully describe the behavior of SFRC beams without shear reinforcement failing in shear, a number of empirical equations have been suggested in the past. This paper compiles the existing empirical equations and code provisions for the prediction of the shear capacity of SFRC beams failing in shear as well as a database of 488 experiments reported in the literature. The experimental shear capacities from the database are then compared to the prediction equations. This comparison shows a large scatter on the ratio of experimental to predicted values. The practice of defining the tensile strength of SFRC based on different experiments internationally makes the comparison difficult. For design purposes, the code prediction methods based on the Eurocode shear expression provide reasonable results (with coefficients of variation on the ratio tested/predicted shear capacities of 27–29%). None of the currently available methods properly describe the behavior of SFRC beams failing in shear. As such, this work shows the need for studies that address the different shear-carrying mechanisms in SFRC and its crack kinematics.
Original language | English |
---|---|
Article number | 917 |
Number of pages | 36 |
Journal | Materials |
Volume | 12 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2019 |
Bibliographical note
This article belongs to the Section Construction and Building MaterialsKeywords
- Beams
- Database
- Experiments
- Flexure
- Shear
- Steel fiber reinforced concrete
Fingerprint
Dive into the research topics of 'Database of Shear Experiments on Steel Fiber Reinforced Concrete Beams without Stirrups'. Together they form a unique fingerprint.Datasets
-
Database of experiments on SFRC beams without stirrups failing in shear
Lantsoght, E. O. L. (Creator), Zenodo, 26 Feb 2019
Dataset/Software: Dataset