i-manager Publications

Optimization of Hybrid Fibre Reinforced Concrete Beams Using Genetic Algorithm

Eswari*, Raghunath**, Kothandaraman***

* Assistant Professor, Department of Civil Engineering, Pondicherry Engineering College, Pondicherry, India.

** Professor, Department of Civil and Structural Engineering, Annamalai University, Chidambaram, India.

*** Professor, Department of Civil Engineering, Pondicherry Engineering College, Pondicherry, India.

Periodicity:June - August'2011
DOI : https://doi.org/10.26634/jce.1.3.1682

Abstract

A genetic algorithm is used to perform the discrete optimization of hybrid fibre reinforced concrete beams subject to a specified set of constraints. The objective function considered is the total cost of the materials. The Genetic Algorithm tries to minimize the cost for achieving required load carrying capacity, permissible deflection, ductility and average crack width for optimum combination of polyolefin and steel fibres. The input variables are breadth, depth, length, cost of polyolefin fibre, cost of steel fibre, ultimate load, ultimate deflection, ductility, average crack width are to be entered. The output of the given problem is Fibre volume ratio, Fraction of polyolefin fibre, Fraction of steel fibre, and Minimized cost. It is shown that the developed genetic algorithm obtained an optimal solution for hybrid fibre reinforced concrete beams.

Keywords

Algorithm, Fibre reinforced concrete beams, Steel Fibre, Polyolefin Fibre, Hybrid Fibre, Optimization, Ductility

How to Cite this Article?

Eswari, S., Raghunath, P. N., and Kothandaraman, S. (2011). Optimization Of Hybrid Fibre Reinforced Concrete Beams Using Genetic Algorithm. i-manager’s Journal on Civil Engineering, 1(3), 18-22. https://doi.org/10.26634/jce.1.3.1682

References

[1]. Coello Coello, C.A., Christiansen, A.D., and Santos Hernandez, F. (1997). A Simple Genetic Algorithm for the Design of Reinforced Concrete Beams, Engineering with Computers, 13, 185-196.

[2]. Chee-Kiong Soh and Jiaping Yang (1998). Optimal Layout of Bridge Trusses by Genetic Algorithms, Computer Aided Civil and Infrastructure Engineering, 13, 247-254.

[3]. Charles Camp, Shahram Pezeshk and Guozhong Cao (1998). Optimized Design of Two-Dimensional Structures using a Genetic Algorithm, Journal of Structural Engineering, 124 (5), 551-557.

[4]. Mares, C., and Surace, C. (1996). An Application of Genetic Algorithms to identify Damage in Elastic Structures, Journal of Sound and Vibration, 2, 195-215.

[5]. Goldburg, D.E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning, Reading. Addison-Wesley Longman.

[6]. Rajeev, S., and Krishnamoorthy, C.S. (1998). Genetic Algorithm-Based Methodology for Design Optimization of Reinforced Concrete Frames, Computer Aided Civil and Infrastructure Engineering, 13 63-74.

[7]. Shah, R.H., Pandya, I.I., and N.D. Koladia, (2000). Optimization of Fibre Reinforced Concrete Flexural Members, ICFRC, Proceedings of the National Seminar on High Performance Concrete Composites, India, 2.1-2.7.

[8]. Lee, C., and Ahn. J. (2003). Flexural Design of Reinforced Concrete Frames by Genetic Algorithm, Journal of Structural Engineering, pp. 762-774.

[9]. Holland, J.H. (1975). Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, Michigan.

[10]. Koza, J.R. (1992). Genetic Programming: On the programming of computers by means of natural selection, Cambridge MA: MIT Press, ISBN 0-262-11170-5.

[11]. IS 516. Methods of Tests for Strength of Concrete, BIS, New Delhi. (1959).

[12]. Subramanian, N. Controlling the Crack Width of Flexural RC Members, The Indian Concrete Journal, (2005) 31-36.

[13]. ACI Committee 544, (1989), Measurement of Properties of Fibre Reinforced Concrete, (ACI 544.2R-889), American Concrete Institute, Detroit, Michigan, USA.

[14]. Eswari, S., Raghunath, P.N., and Suguna, K. (2008). Development of Hybrid Polyolefin-Steel Fibre Reinforced Concrete, Proceedings of International Conference on Advances in Concrete and Construction, India, 1, pp. 335-343.

[15]. The Math Works. (2002). Fuzzy Logic Toolbox for Use with MATLAB, User's Guide (version 2.1.2) .

Optimization of Hybrid Fibre Reinforced Concrete Beams Using Genetic Algorithm

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25