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The low tensile strength of concrete, attributable to the existence of micro cracks at the aggregate-matrix interface, is responsible for crack formation and crack propagation. Discontinuous, discrete steel fibers of short lengths smaller in diameter have been used to improve the tensile and flexural strength of structural elements subjected to various loading conditions. Although the introduction of fibers into concrete reduces its workability, yet there is a significant improvement in the material behavior. The brittle characteristic of concrete is converted into a ductile one. Use of fibers alters the behavior of the fiber-matrix composite after it has cracked, thereby improving toughness. The goal of the work is to establish new relationships and to verify the available relationships between the various properties of Steel Fiber Reinforced Concrete (SFRC). Linear relationship between the flexural tensile strength and cube compressive strength are proposed for various percentages of fibers. The results indicate that fiber content in the range of 0.5% to 1% provide excellent toughness to normal strength concrete as compared to high strength concrete.
From the study it is concluded that fibre proves to be a better alternative to steel and alloys specially for repairing and maintenance of structures damaged by heavy use and corrosion and as a material for strengthening. The mechanical properties of fibre reinforced concrete make them ideal of widespread applications in construction world. There are number of fibres, if one fibre has some drawbacks, then more than one fibre can be used to hide the drawback of other. The study shows that initial cost of fibre reinforced concrete is much higher as compared to steel reinforced concrete, because one fibre rod cost is expected to be in-between 2 to 8 times the cost of normal steel bars. But the study and research shows that this high cost can be justified by looking at "whole life cost of structure."
India is bestowed with rich water resources; rainfall is one of the main sources of water. Because of time and spatial variability of rainfall, a number of dams have been constructed all over the country to tap the available water resources so that this water can be utilized in accordance with the requirements of mankind. Proper management of the reservoirs is required for the efficient use of available water resources. Reservoir operation plays a vital role in planning and management of water resources system. Modeling of a rainfall-runoff is gaining a fast momentum for hydrological and water management studies. This evolution provides the mankind with new possibilities to efficiently use the available water. In this study rainfall-runoff model for three reservoirs, namely Ravishankar Sagar, Murumsilli and Dudhawa reservoirs of MRP Project has been developed, for the available data of 17 years, by the application of fuzzy logic. Fuzzified runoff results from the model are compared with linear regression by calculating the relative error with reference to the observed runoff. It has been found that fuzzy logic based rainfall-runoff model performs better than linear regression model
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