• ATHIRA M

High Strength Concrete is an improved construction material in high rise buildings, bridges and off shore structures because it offers greater compressive strength. The increase in compressive strength of High Strength Concrete (HSC) not only increases brittleness but also reduces the ductility of the concrete. To improve the ductility of HSC, the strategy is to introduce fibres in HSC which results in development of near isotropic material with reasonable tensile strength, reduced shrinkage effect and greater toughness. Hence this paper aims to determine the basic characteristics of hybrid fibre-reinforced high strength concrete containing silica fume mixed with different types of fibres; steel, palm, sisal and coir fibres in terms of compressive strength, splitting-tensile strength, flexural strength and modulus of elasticity as 1% volumetric fraction. Silica fume replacement was 10%. The specimens are tested at 28 days. Following this experimental effort, Adaptive Neuro - Fuzzy Inference System (ANFIS) modeling has been proposed for predicting the strength parameters. A better correlation has been observed between the test results and those predicted through the proposed modeling.

High strength concrete (HSC), Fibre reinforced concrete (FRC), Adaptive Neuro - Fuzzy Inference System (ANFIS). Aritificial neural network (ANN)

"Adaptive Neuro Fuzzy Inference System Based Modeling For The Effect Of Natural And Steel Fibres On The Performance Of High Strength Concrete ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 7, page no.942-948, December-2014, Available :http://www.jetir.org/papers/JETIR1407069.pdf

"Adaptive Neuro Fuzzy Inference System Based Modeling For The Effect Of Natural And Steel Fibres On The Performance Of High Strength Concrete ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 7, page no. pp942-948, December-2014, Available at : http://www.jetir.org/papers/JETIR1407069.pdf