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

被引：5
作者：
Ngo, Tri Thuong [1 ]
Le, Quang Huy [2 ]
Nguyen, Duy Liem [3 ]
Kim, Dong Joo [4 ]
Tran, Ngoc Thanh [5 ]
机构：
[1] ThuyLoi Univ, Fac Civil Engn, Hanoi, Vietnam
[2] Ton Duc Thang Univ, Inst Computat Sci, Div Computat Math & Engn, Ho Chi Minh City, Vietnam
[3] Ho Chi Minh City Univ Technol & Educ, Fac Civil Engn, Ho Chi Minh City, Vietnam
[4] Sejong Univ, Dept Civil & Environm Engn, Seoul, South Korea
[5] Ho Chi Minh City Univ Transport, Inst Civil Engn, Dept Struct Engn, Ho Chi Minh City, Vietnam
来源：
MAGAZINE OF CONCRETE RESEARCH | 2023年 / 75卷 / 15期
关键词：
composite materials; fibre-reinforcement; neural networks; tensile properties; HIGH-PERFORMANCE CONCRETE; UHP-FRC; BEHAVIOR; STRENGTH;
D O I：
10.1680/jmacr.22.00060
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：780 / 794
页数：15
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