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Proceedings 2018, 2(8), 401; https://doi.org/10.3390/ICEM18-05238

Analysis of Failure Modes in Fiber Reinforced Concrete Using X-ray Tomography and Digital Volume Correlation

1
Mechanics Research, RISE Research Institutes of Sweden, 50115 Borås, Sweden
2
Solid Mechanics, Lund University, 221 00 Lund, Sweden
Presented at the 18th International Conference on Experimental Mechanics, Brussels, Belgium, 1–5 July 2018.
*
Author to whom correspondence should be addressed.
Published: 19 May 2018
PDF [1253 KB, uploaded 30 May 2018]

Abstract

Pull-out mechanisms for different common steel fibers were investigated using adapted pull-out tests performed in-situ in an X-ray micro tomograph (µXRT). High-resolution volume images from the µXRT scans enable clear visualization of aggregates, pores, the fiber and the fiber-matrix interface. Furthermore, the natural density speckle pattern from aggregate distribution and pores was found suitable for Digital Volume Correlation (DVC) analysis. From the DVC results it was possible to visualize and quantify the strain distribution in the matrix around the fiber at the different load levels up to final failure, being marked by either pull-out or fiber rupture. This study demonstrates that strain measurements within the concrete matrix can be obtained successfully using µXRT imaging and DVC analysis, which leads to an increased understanding of the interaction mechanisms in fibre reinforced concrete under mechanical loading.
Keywords: fiber reinforced concrete; pull-out behavior; X-ray Computed Tomography; Digital Volume Correlation fiber reinforced concrete; pull-out behavior; X-ray Computed Tomography; Digital Volume Correlation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Flansbjer, M.; Portal, N.W.; Hall, S.; Engqvist, J. Analysis of Failure Modes in Fiber Reinforced Concrete Using X-ray Tomography and Digital Volume Correlation. Proceedings 2018, 2, 401.

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