
Mathematical modeling of steel fiber reinforced concrete properties and selecting its effective composition
Author(s) -
Леонід Дворкін,
Oleh Bordiuzhenko,
Vadim Zhitkovsky,
Vitaliy Marchuk
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/708/1/012085
Subject(s) - superplasticizer , structural engineering , fiber , fiber reinforced concrete , materials science , flexural strength , properties of concrete , reinforced concrete , computer science , compressive strength , composite material , engineering
Design of optimal concrete compositions with specified quality indicators at minimal cost still remains one of the most actual problems. The paper deals with methodology for designing optimal fiber reinforced concrete composition using experimental-statistical models of concrete properties. The obtained mathematical models for compressive and flexural strength of steel fiber reinforced concrete and a model of superplasticizer consumption are used. The proposed method of fiber reinforced concrete composition design takes into account the specific characteristics of the studied materials. It allows relatively easy composition optimization by applying a specific minimum cost criterion. Experimental results obtained in the frame of the study confirm efficiency of the proposed concrete mix design methodology for producing steel fiber reinforced concrete with necessary properties.