The Effect of Overdose used Water Reducer Plasticizers on Properties of Concrete
Journal: Electronic Letters on Science & Engineering (Vol.2, No. 2)Publication Date: 2006-09-01
Authors : M. Uysal;
Page : 38-44
Keywords : Neural Networks; Concrete; Plasticizers; Mixture Properties;
Abstract
Concrete is one of the most important materials which constitutes base of importance contemporary society. Structures, ways, bridges, dams, power stations, water stores, ports, airports are made in concrete all over the world. Concrete has to provide certain compressive strength and durabilty as a construction material. There are some formulations for compressive strength in the literature for various material proportions but today, these formulations are not used because of new generations of high performance concrete. Concrete technology has developed very speedy and mixture design changed for concrete and the use of these formulations out of service. Artificial Neural Networks are used commonly to abolish these problems in the concrete industry and is used the most of engineering concerns and provide very attractive solutions for this reason. In decades, Artificial Neural Networks is the most popular area of study due to the ability of training and adaptation, the property of working by limited data, convinience of definition. In this scope, the data which is found by the experimental study and the application of data to the this method. The following study should be which the value of compressive strength can be in the various of material components.
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