Martinelli2021_Article_CharacterizationTestsForPredic.pdf (3.94 MB)
Characterization tests for predicting the mechanical performance of SFRC floors: identification of fibre distribution and orientation effects
journal contributionposted on 2021-04-30, 08:36 authored by Paolo Martinelli, Matteo Colombo, Pablo Pujadas, Albert de la Fuente, Sergio Pialarissi-CavalaroSergio Pialarissi-Cavalaro, Marco di Prisco
In the context of the evaluation of the load-bearing capacity of a steel fibre reinforced concrete (SFRC) elevated slab recently built in northern Italy, this paper presents the study addressing the effects of fibre distribution and orientation. An extensive experimental programme was carried out in a collaboration between Politecnico di Milano and Universitat Politècnica de Catalunya. The programme included mechanical tests on four shallow beams and six notched standard beams. Additionally, uniaxial tensile tests (UTTs), double edge wedge splitting tests (DEWSTs) and double punching tests (DPTs) on 192 drilled core samples extracted from the shallow beams were performed. Inductive tests, measuring the self-induction change that occurs when a SFRC sample is placed inside a coil, were performed on all samples subjected to DPTs to assess fibre distribution. This paper compares direct and indirect tensile tests for the definition of the FRC post-cracking constitutive law, highlighting advantages and disadvantages of each test type. A comparison between standard and non-standard mechanical tests is also presented. Mechanical and non-destructive tests on drilled core samples extracted in different directions and at different locations have allowed the evaluation of the effects of fibre distribution and fibre orientation which provide an estimation of the possibility of using these tests as simplified tests for production control.
Politecnico di Milano within the CRUI-CARE Agreement.
- Architecture, Building and Civil Engineering
Published inMaterials and Structures
- VoR (Version of Record)
Rights holder© The Authors
Publisher statementThis is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/
DepositorProf Sergio Cavalaro. Deposit date: 29 April 2021
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