Modelling the High Strain Rate Tensile Behavior of Steel Fiber Reinforced Concrete Using Artificial Neural Network Approach

Honeyeh Ramezansefat*, Mohammadali Rezazadeh, Joaquim Barros, Isabel Valente, Mohammad Bakhshi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Conventional concrete material shows relatively low ductility and energy dissipation capacity under high strain rate tensile loads. The use of steel fibers into concrete can significantly improve the tensile behavior of concrete subjected to high strain rate loads by fibers bridging the concrete crack surfaces, resulting in a high impact resistance and energy dissipation capacity. Experimental research evidenced that the parameters of volume fraction, aspect ratio and tensile strength of steel fibers affect the characteristics of steel fiber reinforced concrete (SFRC) composite materials under high strain rate tensile loads. However, the existing design codes, i.e. CEB-fib model code 1990 and fib model code 2010, recommend design formulations for the prediction of the behavior of normal concrete under different strain rate loads, which are only function of strain rate of the loads. Accordingly, development of the design models to predict the behavior of SFRC materials when subjected to high strain rate loads is still lacking in the literature. Hence, the current paper aims to improve the design models recommended in the existing design codes (e.g. fib model code 2010). An artificial neural network approach is adopted to predict more accurately the tensile behavior of SFRC materials. Besides the strain rate load effect, this approach considers the effects of the volume fraction, aspect ratio and tensile strength of steel fibers. Finally, the predictive performance of the proposed model was evaluated by simulating relevant experimental tests.

Original languageEnglish
Title of host publication10th International Conference on FRP Composites in Civil Engineering - Proceedings of CICE 2020/2021
EditorsAlper Ilki, Medine Ispir, Pinar Inci
PublisherSpringer
Pages1099-1109
Number of pages11
ISBN (Print)9783030881658
DOIs
Publication statusPublished - 27 Nov 2021
Event10th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil Engineering, CICE 2021 - Virtual, Online
Duration: 8 Dec 202110 Dec 2021

Publication series

NameLecture Notes in Civil Engineering
Volume198 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference10th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil Engineering, CICE 2021
CityVirtual, Online
Period8/12/2110/12/21

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