Optimization of Concrete Aggregates by Iteration method of Analysis Using Python Program

Authors

  • A. Shanmuga Reddy M.Tech Student, Department of Civil Engineering
  • K. Narasimhulu Professor, Department of Civil Engineering
  • G Mdhusudhan Asst.Professor, Department of Civil Engineering

Keywords:

Maximum density line or Power curve, Coarseness factor and workability factor, Fineness modulus.

Abstract

Concrete is an essential part of most of the civil engineering works. Aggregates are the main constituents of the concrete. An aggregate occupies about 70% to 80% of the total volume of the concrete and also they highly affect the fresh and hardened properties of the concrete. The concrete mix optimization implies selection of the most suitable cost of raw materials, quantity of aggregate packing, water and cement consumption. Optimization of aggregates can be achieved by using optimized techniques such as Maximum density line or Power curve, Coarseness factor chart, Fineness modulus and Surface area. By using optimization of aggregates technique we can reduce the cement content and also it gives the dense packing arrangement in between aggregate particles in total volume of concrete. Finally optimization improves the properties of concrete such as workability, durability, compressive strength and decreasing drying shrinkage etc,. This work also includes the development of computer based program
for calculating optimization of aggregate proportions of different sizes of aggregates used in concrete mix design by using optimized techniques. The optimized aggregates proportions are calculated by the use of iteration method. This paper most useful to calculate optimized combined aggregates mix proportions for generating optimized concrete by using computer based program.

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Published

2019-07-01

How to Cite

Reddy, A. S. ., Narasimhulu, K. ., & Mdhusudhan, G. . (2019). Optimization of Concrete Aggregates by Iteration method of Analysis Using Python Program. International Journal of Technical Innovation in Modern Engineering & Science, 5(7), 254–265. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/1414