Document Type : Research Article
Authors
1
Professor, Department of Civil Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
2
PhD student, Department of Civil Eignieerng, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
3
Associate professor, Department of Civil Engineering, Lorestan University, Khoramabad, Iran
Abstract
In addition to the mechanical properties and durability of concrete, its production cost can also affect the choice of materials. Changing the amount of materials in the concrete mix design is effective on the strength, as well as the materials cost, and these two factors are very important in deciding the amount of materials used based on the purchase price of manufacturers in the concrete industry. High-strength concrete having high-strength, and have a low water-to-cement ratio and a greater variety of materials, therefore, choosing the exact amount of materials to achieve a specific strength category, and at the lowest cost, is difficult. In this research, using the meta-heuristic genetic algorithm, the data of a reference research in terms of strength and the price of construction materials were optimized so that in addition to achieving the highest-strength and the lowest cost, in order to achieve the target strength, the minimum cost can be achieved. The results showed that the optimal answer of the genetic algorithm, compared to the optimal point of the reference research, and had strength of 10.2% more and the price 8.2% lower. Considering that the genetic algorithm has the ability to choose the mixture design for different strength categories, the examination of the mixture design showed that the algorithm works on changing the amount of intelligent materials and has applied the changes in a way that in the process of obtaining required strengths, changes in the amount of consumables should be suggested by applying the lowest possible price.
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