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Flexural fatigue of pre-cracked plastic fibre reinforced concrete: experimental study and numerical modeling
journal contribution
posted on 2021-05-04, 09:33 authored by Debora Martinello Carlesso, Sergio Pialarissi-CavalaroSergio Pialarissi-Cavalaro, Albert de la FuenteThe objective of this paper is to analyse the mechanical behaviour of polypropylene fibre reinforced concrete subjected to load cycles and propose a model to predict the crack-opening increase and mechanical performance evolution over the cycles. Fatigue tests were performed in pre-cracked specimens with two fibre types and contents to assess the evolution of the crack-opening for prescribed numbers of load cycles. The residual flexural tensile strength was assessed before and after these tests to estimate the impact of the cycles in the remaining resistant capacity of the specimens. Results suggest that the mechanism of crack propagation is independent of the fibre type and content. The accumulated damage due to the cycles produces an offset in the quasi-static residual tensile strength curve. These findings underpin the proposal of a model to predict the evolution of the crack-opening and the remaining resistant capacity. An optimisation procedure is proposed to derive the model parameters using a limited number of initial load cycles.
Funding
Brazilian National Council for Scientific and Technological Development for scholarship (233980/ 2014-8).
SAES project (BIA2016-78742-C2-1-R) of Spanish Ministerio de Economía, Industria y Competitividad.
History
School
- Architecture, Building and Civil Engineering
Published in
Cement and Concrete CompositesVolume
115Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This paper was accepted for publication in the journal Cement and Concrete Composites and the definitive published version is available at https://doi.org/10.1016/j.cemconcomp.2020.103850.Acceptance date
2020-10-17Publication date
2020-10-21Copyright date
2020ISSN
0958-9465Publisher version
Language
- en
Depositor
Prof Sergio Cavalaro. Deposit date: 30 April 2021Article number
103850Usage metrics
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