Optimization High-strength concrete mixing design using meta-heuristic genetic algorithm

Document Type : Research Article

Authors

1 PhD student, Department of Civil Eignieerng, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

2 Professor, Department of Civil Engineering, 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. On the other hand, changing the quantity of materials in the concrete mixing design affects the properties of concrete, including compressive strength and cost of materials, and these two factors are very important factors in deciding to use more or less materials in terms of purchase price for manufacturers in the concrete industry. High-strength concrete (HSC) is in the category of concretes that in addition to having high strength, has a low ratio of water to binder and a greater variety of materials, so in this type of concrete, choosing the exact amount of material to achieve a certain strength class, to have the lowest cost is difficult. In the present study, using a meta-heuristic genetic algorithm, the data of a reference study related to a class of HSC were optimized in terms of compressive strength and fabrication price in addition to achieving the highest possible strength at the lowest cost, the target strengths can also be minimized. The results showed that the meta-heuristic genetic algorithm acted intelligently to change the amount of materials in the mixing design and made the changes in such a way that in the process of obtaining the desired strengths, changes in the amount of materials used in the mixing design, with the least costs may be offered.

Keywords

References

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Amirkabir Journal of Civil Engineering
Volume 56, Issue 4
2024
Pages 407-440

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