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Advances in Materials Science and Engineering
Volume 2016 (2016), Article ID 9583757, 12 pages
Research Article

Studies on Pumice Lightweight Aggregate Concrete with Quarry Dust Using Mathematical Modeling Aid of ACO Techniques

1Department of Civil Engineering, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu 624 002, India
2Department of Civil Engineering, RVS College of Engineering and Technology, Dindigul, Tamil Nadu 624 005, India

Received 1 August 2015; Revised 20 October 2015; Accepted 21 October 2015

Academic Editor: Belal F. Yousif

Copyright © 2016 J. Rex and B. Kameshwari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The lightweight aggregate is an aggregate that weighs less than the usual rock aggregate and the quarry dust is a rock particle used in the concrete for the experimentation. The significant intention of the proposed technique is to frame a mathematical modeling with the aid of the optimization techniques. The mathematical modeling is done by minimizing the cost and time consumed in the case of extension of the real time experiment. The proposed mathematical modeling is utilized to predict four output parameters such as compressive strength (Mpa), split tensile strength (Mpa), flexural strength (Mpa), and deflection (in mm). Here, the modeling is carried out with three different optimization techniques like genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) with 80% of data from experiment utilized for the training and the remaining 20% for the validation. Finally, while testing, the error value is minimized and the performance obtained in the ACO for the parameters such as compressive strength, split tensile strength, flexural strength, and deflection is 91%, 98%, 87%, and 94% of predicted values, respectively, in the mathematical modeling.