Mix proportioning of high-performance concrete by applying the GA and PSO

الموضوعات : مهندسی هوشمند برق

Alireza rezaee ¹ (Ph.D. of Electrical Engineering, Islamic Azad university hashtgerd branch, hasthtgerd, Alborz, Iran)
mohamad reza hasani ahangar ² (Assistant Professor, center of ghadr, Imam hossein university, Tehran, Iran)

تاريخ الإرسال : 23 الأحد , جمادى الثانية, 1436 تاريخ التأكيد : 23 الأحد , جمادى الثانية, 1436 تاريخ الإصدار : 08 الخميس , ربيع الثاني, 1433

الکلمات المفتاحية: High-performance concrete, Genetic Algorithm, particle swarm optimization, Mixture,

ملخص المقالة :

High performance concrete is designed to meets special requirements such as high strength, high flowability, and high durability in large scale concrete construction. To obtain such performance many trial mixes are required to find desired combination of materials and there is no conventional way to achieve proper mix proportioning. Genetic algorithm is a global optimization technique based on mechanics of natural selection and natural genetics and can be used to find a near optimal solution to a problem that may have many solutions. Particle swarm optimization is another evolutionary searching strategy motivated by social behaviors to obtain optimum answer. This paper presents a method whereby the mixture proportion of concrete can be optimized to reduce the number of trial mixtures with desired properties by using the genetic algorithm and particle swarm optimization techniques.

المصادر:

[1] A.M. Neville, P.C Aitcin, High-performance concrete- An

overview, 1998.

[2] I. Maruyama, M. Kanematsu, “Optimization of Mix Proportion

of Concrete under Various Severe Conditions by Applying the

Genetic Algorithm”, University of Tokyo, Japan, 2004.

[3] D. Goldberg, Genetic Algorithm in search, optimization and

Machine Learning, Addison Welsley publishing company,

1989.

[4] A. Chipperfield, Genetic algorithm user’s guide for use with

MATLAB, Version 1.2.

[5] J. Singh, PSO MATLAB Toolbox, PSOTOOLBOX Open

Source.2003.

[6] MATLAB, Version 6.5, The Math Works, 2002.