دوره 7، شماره 1 - ( 10-1395 )                   جلد 7 شماره 1 صفحات 81-91 | برگشت به فهرست نسخه ها


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Naik U, Kute S. INFLUENCE OF FIBER ASPECT RATIO ON SHEAR CAPACITY OF DEEP BEAMS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE. International Journal of Optimization in Civil Engineering. 2017; 7 (1) :81-91
URL: http://ijoce.iust.ac.ir/article-1-285-fa.html
INFLUENCE OF FIBER ASPECT RATIO ON SHEAR CAPACITY OF DEEP BEAMS USING ARTIFICIAL NEURAL NETWORK TECHNIQUE. دانشگاه علم و صنعت ایران. 1395; 7 (1) :81-91

URL: http://ijoce.iust.ac.ir/article-1-285-fa.html


چکیده:   (1240 مشاهده)

This paper deals with the effect of fiber aspect ratio of steel fibers on shear strength of steel fiber reinforced concrete deep beams loaded with shear span to depth ratio less than two using the artificial neural network technique. The network model predicts reasonably good results when compared with the equation proposed by previous researchers. The parametric study involves deep beams of M55 grade concrete with fiber volume fraction 0.5% to 2% of fiber aspect ratio ranging from 50 to 100 and longitudinal steel percentage varying from 0% to 2.5%. The analysis reveals that the fiber aspect ratio also affects the shear strength and needs to be combined with fiber volume fraction.
 

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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۵/۴/۳۰ | پذیرش: ۱۳۹۵/۴/۳۰ | انتشار: ۱۳۹۵/۴/۳۰

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