Modeling shear strength of medium- to ultra-high-strength steel fiber-reinforced concrete beams using artificial neural network

2016 ◽  
Vol 28 (S1) ◽  
pp. 1119-1130 ◽  
Author(s):  
Khandaker M. A. Hossain ◽  
Leena R. Gladson ◽  
Muhammed S. Anwar
2013 ◽  
Vol 577-578 ◽  
pp. 17-20 ◽  
Author(s):  
Baek Il Bae ◽  
Hyun Ki Choi ◽  
Chang Sik Choi

High-strength concrete is widely used in construction field. The growth has been possible as a result of recent developments in material technology and a demand for high-strength concrete. High-strength concrete has different mechanical properties from normal-strength, as many researches mentioned about. However, the existing equations and procedures for prediction of ultra-high strength concrete are based on tests using normal-strength concrete, yet. In this study, experiments on ultra-high-strength steel fiber reinforced concrete beams with 2% volume fraction of steel fiber and 200MPa of compressive strength have been conducted. Test was conducted by two point loading with 2,000kN actuator for slender test specimen which have varied shear-span to depth ratio. Using test results with several assumptions, an empirical equation for flexural strength and shear strength of ultra-high-strength steel fiber reinforced concrete beams have been proposed.


2013 ◽  
Vol 405-408 ◽  
pp. 2938-2942
Author(s):  
Zi Guo Wang ◽  
Yu Yan Sun ◽  
Jian Feng Mao

This paper predicts the shear strength of high-strength steel fiber reinforced concrete (SFRC) beams without stirrups based on existing experimental test results from 5 previous studies. A suitable model was developed by performing linear regression analysis on the database. The adequacy of the model was examined from statistical point of view.


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