Assessment of statistical variations in impact resistance of high-strength concrete and high-strength steel fiber-reinforced concrete

2005 ◽  
Vol 35 (2) ◽  
pp. 393-399 ◽  
Author(s):  
P.S. Song ◽  
J.C. Wu ◽  
S. Hwang ◽  
B.C. Sheu
Keyword(s):  
Reinforced Concrete ◽  
High Strength Steel ◽  
High Strength Concrete ◽  
Steel Fiber ◽  
Impact Resistance ◽  
High Strength ◽  
Fiber Reinforced Concrete ◽  
Steel Fiber Reinforced Concrete ◽  
Strength Concrete ◽  
Statistical Variations

Study on the Dynamic Performance of Steel Fiber Reinforced Concrete in SHPB Experiment

2013 ◽  
Vol 700 ◽  
pp. 140-143 ◽  
Author(s):  
Li Li Huang ◽  
Wei Shi
Keyword(s):  
Reinforced Concrete ◽  
High Strength Concrete ◽  
Steel Fiber ◽  
Dynamic Performance ◽  
High Strength ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Strength Concrete ◽  
Shpb Test

It is important to enhance the ductility of high strength concrete (HSC), and one possible direction is to use steel fibers reinforced, named steel fiber reinforced high strength concrete (SFRHSC).In this paper, The crack characteristics of steel fiber reinforced concrete is investigated in the SHPB test. The incident wave and transmission wave varying with the time have been obtained by SHPB experiment. The relationship curve for stress and strain of material concrete has also been obtained.

Compressive Properties of High Strength Steel Fiber Reinforced Concrete with Different Fiber Volume Fractions

2013 ◽  
Vol 372 ◽  
pp. 215-218 ◽  
Author(s):  
Hye Ran Kim ◽  
Seung Ju Han ◽  
Hyun Do Yun
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
High Strength Steel ◽  
Steel Fiber ◽  
High Strength ◽  
Fiber Reinforced Concrete ◽  
Experimental Results ◽  
Steel Fiber Reinforced Concrete ◽  
Fiber Volume ◽  
Volume Fractions

This paper describes the experimental results of 70 MPa high strength steel fiber reinforced concrete (SFRC) with different steel fiber volume fractions in compression. The effect of steel fiber on fresh properties, compressive strength, toughness index, cracking procedure of high strength steel fiber concrete is also investigated. The steel fibers were added as the volume fractions of 0%, 0.5%, 1.0%, 1.5% and 2.0%. The cylindrical specimens with Φ100 x 200 for compressive tests were manufactured in accordance with ASTM C 39[. The experimental results showed that the slump of fresh SFRC was inversely proportional to the fiber volume fraction added to high strength concrete. As the addition of steel fiber increased, compressive strength of SFRC decreased. Inclusion of steel fiber improves compressive toughness of high strength SFRC.

scholarly journals Effects of Reinforcing Fiber Strength on Mechanical Properties of High-Strength Concrete

Fibers ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 93 ◽  
Author(s):  
Yun ◽  
Lim ◽  
Choi
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
High Strength Concrete ◽  
Steel Fiber ◽  
Fiber Strength ◽  
High Strength ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Strength Concrete

: This paper investigates the effects of the tensile strength of steel fiber on the mechanical properties of steel fiber-reinforced high-strength concrete. Two levels of steel fiber tensile strength (1100 MPa and 1600 MPa) and two steel fiber contents (0.38% and 0.75%) were used to test the compression, flexure, and direct shear performance of steel fiber-reinforced high-strength concrete specimens. The aspect ratio for the steel fiber was fixed at 80 and the design compressive strength of neat concrete was set at 70 MPa to match that of high-strength concrete. The performance of the steel fiber-reinforced concrete that contained high-strength steel fiber was superior to that which contained normal-strength steel fiber. In terms of flexural performance in particular, the tensile strength of steel fiber can better indicate performance than the steel fiber mixing ratio. In addition, a compression prediction model is proposed to evaluate compression toughness, and the model results are compared. The predictive model can anticipate the behavior after the maximum load.

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