Experiments and prediction of direct tensile resistance of strain-hardening steel-fibre-reinforced concrete-Reference-Cited by-同舟云学术

Experiments and prediction of direct tensile resistance of strain-hardening steel-fibre-reinforced concrete

Published:2023-08-01 Issue:15 Volume:75 Page:780-794
ISSN:0024-9831
Container-title:Magazine of Concrete Research
language:en
Short-container-title:Magazine of Concrete Research

Author:

Ngo Tri Thuong¹,Le Quang Huy²,Nguyen Duy Liem³,Kim Dong Joo⁴,Tran Ngoc Thanh⁵

Affiliation:

1. Faculty of Civil Engineering, ThuyLoi University, Ha Noi, Vietnam

2. Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

3. Faculty of Civil Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam

4. Department of Civil and Environmental Engineering, Sejong University, Seoul, Republic of Korea

5. Department of Structural Engineering, Institute of Civil Engineering, Ho Chi Minh City University of Transport, Ho Chi Minh City, Vietnam (corresponding author: )

Abstract

The direct tensile resistance of strain-hardening steel-fibre-reinforced concrete (SHSFRC) was experimentally investigated and modelled. Three steel fibre types (twisted, hooked and smooth fibres) and three matrices with different compressive strengths (28 MPa (M1), 84 MPa (M2) and 180 MPa (M3)) were investigated in both single-fibre pull-out tests and direct tensile tests. A model based on machine learning was developed to predict the tensile resistance of the SHSFRCs. The experimental results showed that the twisted fibres not only exhibited the highest pull-out resistance but also the greatest tensile resistance in M1 and M2, whereas smooth fibres achieved the same results in M3. The predicted outcomes showed that the proposed model had high efficiency and accuracy in estimating the tensile resistance of SHSFRC, with a correlation coefficient of 0.951.

Publisher

Thomas Telford Ltd.

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://www.icevirtuallibrary.com/doi/pdf/10.1680/jmacr.22.00060

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