Load-Transfer Mechanism and Bond-Stress Components in Steel and Steel Fiber–Reinforced Concrete Structure

2019 ◽  
Vol 145 (12) ◽  
pp. 04019160 ◽  
Author(s):  
Kai Wu ◽  
Feng Chen ◽  
Chuyang Chen ◽  
Huiming Zheng ◽  
Jianan Xu
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structure ◽  
Load Transfer ◽  
Steel Fiber ◽  
Transfer Mechanism ◽  
Fiber Reinforced Concrete ◽  
Reinforced Concrete Structure ◽  
Steel Fiber Reinforced Concrete ◽  
Load Transfer Mechanism ◽  
Stress Components

Steel Fiber Reinforced Concrete Carbonation Simulation Research

2011 ◽  
Vol 243-249 ◽  
pp. 108-111 ◽  
Author(s):  
Yuan Yao Miao ◽  
Di Tao Niu ◽  
Yan Wang
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structure ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Reinforced Concrete Structure ◽  
Steel Fiber Reinforced Concrete ◽  
Carbonation Depth ◽  
Simulation Research ◽  
Concrete Carbonation

Durability of concrete structure due to carbonation problem has attracted worldwide attention. By studying on the performance of steel fiber reinforced concrete carbonation, simulations CO2corrosion environment was simulated. The impacts of the change law of carbonation depth of steel fiber reinforced concrete with water cement ratio (0.35,0.45,0.55), as well as steel fiber content (0%, 0.5%, 1.0%, 1.5% , 2.0%), pouring surface and age, on concrete carbonation depth were studied. Steel fiber reinforced concrete carbonation performance improvement role was analyzed. Thus, providing a experimental basis that can be used in the design and analysis of the durability of steel fiber reinforced concrete structure.

A study of some factors affecting the fiber–matrix bond in steel fiber reinforced concrete

1990 ◽  
Vol 17 (4) ◽  
pp. 610-620 ◽  
Author(s):  
Nemkumar Banthia
Keyword(s):  
Reinforced Concrete ◽  
Load Transfer ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Factors Affecting ◽  
Surrounding Matrix ◽  
Pull Out ◽  
Fiber Matrix

With the objective of understanding the reinforcing mechanisms of fibers in steel fiber reinforced concrete, the bond between the fibers and the surrounding matrix is studied by conducting single fiber pull-out tests on fibers bonded in cementitious matrices. Various matrix compositions and fiber geometries have been investigated and the effects of various other factors on the pull-out behavior of the fibers have been quantified through pull-out load–extension plots. Finally, the various modes of fiber–matrix load transfer have been discussed and the favorable and unfavorable conditions for such a transfer have been recognized. Key words: steel fiber reinforced concrete, toughness, fiber–matrix bond, deformed fiber, pull-out tests, load–extension plots.

scholarly journals Crack Identification Method of Steel Fiber Reinforced Concrete Based on Deep Learning: A Comparative Study and Shared Crack Database

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yang Ding ◽  
Shuang-Xi Zhou ◽  
Hai-Qiang Yuan ◽  
Yuan Pan ◽  
Jing-Liang Dong ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Concrete Structure ◽  
Prediction Accuracy ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Bending Test ◽  
Crack Identification ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Concrete Crack

As a common disease of concrete structure in engineering, cracks mainly lead to durability problems such as steel corrosion, rain erosion, and protection layer peeling, and then the building gets destroyed. In order to detect the cracks of concrete structure in time, the bending test of steel fiber reinforced concrete is carried out, and the pictures of concrete cracks are obtained. Furthermore, the crack database is expanded by the migration learning method and the crack database is shared on the Baidu online disk. Finally, a concrete crack identification model based on YOLOv4 and Mask R-CNN is established. In addition, the improved Mask R-CNN method is proposed in order to improve the prediction accuracy based on the Mask R-CNN. The results show that the average prediction accuracy of concrete crack identification is 82.60% based on the YOLO v4 method. The average prediction accuracy of concrete crack identification is 90.44% based on the Mask R-CNN method. The average prediction accuracy of concrete crack identification is 96.09% based on the improved Mask R-CNN method.

Acoustic emission by steel fiber reinforced concrete under tensile damage

2017 ◽  
Vol 59 (7-8) ◽  
pp. 653-660 ◽  
Author(s):  
Wang Yan ◽  
Ge Lu ◽  
Chen Shi Jie ◽  
Zhou Li ◽  
Zhang Ting Ting
Keyword(s):  
Acoustic Emission ◽  
Reinforced Concrete ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Tensile Damage

On axial compressive behavior of steel fiber reinforced concrete confined by FRP

2021 ◽  
pp. 136943322098165
Author(s):  
Hossein Saberi ◽  
Farzad Hatami ◽  
Alireza Rahai
Keyword(s):  
Reinforced Concrete ◽  
Experimental Test ◽  
Steel Fiber ◽  
Experimental Tests ◽  
Fiber Reinforced Concrete ◽  
Steel Fibers ◽  
Test Results ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Frp Confinement

In this study, the co-effects of steel fibers and FRP confinement on the concrete behavior under the axial compression load are investigated. Thus, the experimental tests were conducted on 18 steel fiber-reinforced concrete (SFRC) specimens confined by FRP. Moreover, 24 existing experimental test results of FRP-confined specimens tested under axial compression are gathered to compile a reliable database for developing a mathematical model. In the conducted experimental tests, the concrete strength was varied as 26 MPa and 32.5 MPa and the steel fiber content was varied as 0.0%, 1.5%, and 3%. The specimens were confined with one and two layers of glass fiber reinforced polymer (GFRP) sheet. The experimental test results show that simultaneously using the steel fibers and FRP confinement in concrete not only significantly increases the peak strength and ultimate strain of concrete but also solves the issue of sudden failure in the FRP-confined concrete. The simulations confirm that the results of the proposed model are in good agreement with those of experimental tests.

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