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Characterization tests for predicting the mechanical performance of SFRC floors: design considerations

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journal contribution
posted on 2021-04-30, 08:51 authored by Paolo Martinelli, Matteo Colombo, Albert de la Fuente, Sergio Pialarissi-CavalaroSergio Pialarissi-Cavalaro, Pablo Pujadas, Marco di Prisco
The paper presents an experimental program carried out to check the load bearing capacity of a steel fibre reinforced concrete (SFRC) floor in northern Italy. The extensive mechanical characterization focused on the suitability of 3 non-standardized test methods for quality control and tensile constitutive curve assessment was performed, this consisting of: uniaxial tensile test (UTT), double edge wedge splitting test (DEWST) and double punching test (DPT) to characterize the post-cracking mechanical properties of the material. The joint experimental programme, carried out at the Politecnico di Milano and at the Universitat Politècnica de Catalunya, included the flexural characterization of four shallow beams (1.5 × 0.5 × 0.25 m3) and six standard notched beams (0.55 × 0.15 × 0.15 m3). All the samples were produced from the same batch and with the same SFRC mix which was applied for the floor. After that, 192 cores were drilled from the shallow beams and subjected to either UTTs, DEWSTs or DPTs. The stress level, the scatter and the constitutive curves derived from the non-standardized tests were identified and analysed. The calculated constitutive curves were used to predict the behaviour of the shallow beams.

Funding

Politecnico di Milano within the CRUI-CARE Agreement.

History

School

  • Architecture, Building and Civil Engineering

Published in

Materials and Structures

Volume

54

Issue

1

Publisher

Springer

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This 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/

Acceptance date

2020-11-30

Publication date

2021-01-04

Copyright date

2020

ISSN

1359-5997

eISSN

1871-6873

Language

  • en

Depositor

Prof Sergio Cavalaro. Deposit date: 29 April 2021

Article number

2

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