Recent Articles- IJCSER

Assessment of Corrosion and Durability Characteristics of Copper Slag Admixed Concrete
Author(s)– D.Brindha,Baskaran.T , Nagan.S

ABSTRACT
The main aim of the environmental protection agencies and the government are to seek ways and means to minimize the problems of disposal and health hazards of by-products. Some of the industrial by-products have been successfully used in the construction industry for the production of cement and concrete. Copper slag is one of the materials that is considered as a waste material which could have a promising future in construction industry as partial substitute of either cement or aggregates. Many researchers have already found it possible to use copper slag as a concrete aggregate. But not much research has been carried out concerning durability and corrosion studies of copper slag admixed concrete. This paper presents the results of an experimental study on various corrosion and durability tests on concrete containing copper slag as partial replacement of sand and cement. For this research work , M20 grade concrete was used and the tests were conducted for various proportions of copper slag replacement with sand of 0%, 20%, 40%, and 60%, cement of 0%, 5%, 15% and 20% and combination of both (60% sand + 40% copper slag for fine aggregate and  85% cement+15% copper slag for cement) in concrete. The obtained results were compared with those of control concrete made with ordinary Portland cement and sand.

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Recent Articles- IJCSER

Structural Optimization Using a Novel Genetic Algorithm for Rapid Convergence
Author(s)– M. A. Al-Shihri

ABSTRACT
A novel evolutionary algorithm based upon genetic algorithm is presented in this paper which is suitable for a general class of structural optimization problems. The algorithm is applicable for discrete and/or continuous type(s) of design variables. Proposed algorithm has been designed such that it converges rapidly to local optima whenever a local optimum solution is nearby. In each generation, the algorithm selects a chromosome from the population that represents a design close to a local optimum. Further, a new set of chromosomes called Single Digit Chromosome (SDC) are generated having all zero bits except for one. Chromosomes are selected from the population and their binary addition and subtraction are performed with the SDCs. Through a number of test examples it is shown that the proposed algorithm is much robust and reliable as compared to the traditional genetic algorithm.

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