Vol. 14, No. 2, pp. 166-183(2018)
INVESTIGATING THE EFFECT OF JOINT BEHAVIOR
ON THE OPTIMUM DESIGN OF STEEL FRAMES
VIA HUNTING SEARCH ALGORITHM
Erkan Doğan1, Soner Şeker2*, M. Polat Saka3 and Celalettin Kozanoğlu1
1 Celal Bayar University, Department of Civil Engineering, 45140, Manisa, Turkey
2 Uşak University, Department of Civil Engineering, 64200, Uşak, Turkey
3 University of Bahrain, Department of Civil Engineering, Isa Town, Bahrain
*(Corresponding author: E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.)
Revised: 21 April 2016; 13 April 2017; Accepted: 21 April 2017
DOI:10.18057/IJASC.2018.14.2.3
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ABSTRACT
This study aims to carry out the effect of beam-to-column connections on the minimum weight design of steel plane frames. In the practical analysis of steel frames, end connections are assumed to be either fully restrained or pin-connected. However, experiments reveal that the real behavior is between these extremes and should be taken into account for the realistic design of structures. Hunting search algorithm is used for the automation of optimum design process. It is a numerical optimization method inspired by group hunting of animals such as wolves and lions. It is proven that it is a reliable and efficient technique for obtaining the solution of discrete structural optimization problems. Present design algorithm developed on the basis of hunting search algorithm selects w- sections for the members of semi rigid steel frame from the complete list of w- sections given in LRFD- AISC (Load and Resistance Factor Design, American Institute of Steel Construction). The design constraints are implemented from the specifications of the same code which covers serviceability and strength limitations. The selection of w-sections is carried out such that the design limitations are satisfied and the weight of semi- rigid frame is the minimum. In order to demonstrate its efficiency, three different steel frames are designed by the optimum design algorithm presented. The designs obtained by use of this algorithm are also compared with the ones produced by particle swarm optimization method.
KEYWORDS
Stochastic Search techniques; hunting search algorithm; optimization problems; semi-rigid steel frames, end plate connections
REFERENCES
[1] Kameshki, E.S. and Saka, M.P., "Optimum Design of Nonlinear Steel Frames with Semi-rigid Connections using a Genetic Algorithm", Computers and Structures, 2001, Vol. 79, pp. 1593-1604.
[2] He, S., Prempain, E. and Wu, Q.H., "An Improved Particle Swarm Optimizer for Mechanical Design Optimization Problems", Engineering Optimization, 2004, Vol. 36, No. 5, pp. 585-605.
[3] Saka, M.P., "Optimum Design of Steel Frames using Stochastic Search Techniques based on Natural Phenomena: A Review", Civil Engineering Computations: Tools and Techniques, Ed. B. H. V. Topping, Saxe-Coburgh Publications, 2007, Chapter 6: pp. 105-147.
[4] Hasançebi, O., Çarbaş, S., Doğan, E., Erdal, F. and Saka, M.P., "Performance Evaluation of Metaheuristic Search Techniques in the Optimum Design of Real Size Pin Jointed Structures", Computers and Structures, 2009, Vol. 87, No. 5-6, pp. 284-302.
[5] Hasançebi, O., Çarbaş, S. and Saka, M.P., “Improving the Performance of Simulated Annealing in Structural Optimization”, Journal of Structural and Multidisiplinary Optimization, 2010, Vol. 41, pp: 189–203.
[6] Degertekin, S.O. and Hayalioglu, M.S., “Harmony Search Algorithm for Minimum Cost Design of Steel Frames with Semi-rigid Connections and Column Bases”, Journal of Structural and Multidisiplinary Optimization, 2010, Vol. 42, pp. 755–768.
[7] Oftadeh, R., Mahjoob, M.J. and Shariatpanahi, M., "A Novel Meta-heuristic Optimization Algorithm Inspired by Group Hunting of Animals: Hunting Search", Computers Mathematics with Applications, 2010, Vol. 60, pp. 2087-2098.
[8] Doğan, E. and Saka, M.P. “Optimum Design of Steel Frames to LRFD- AISC Using Particle Swarm Optimization”, Advances in Engineering Software, 2012, Vol. 46, No.1, 27-34.
[9] McGuire, W., “Steel Structures”, Prentice-Hall, 1968.
[10] Majid, K.I., “Nonlinear Structures”, London Butterworth, 1972.
[11] Chen, W.F.,“Practical Analysis for Semi-Rigid Frame Design”, World Scientific Pub Co Inc., 1999.
[12] Chan, S.L. and Chui, P.P.T., “Non-Linear Static and Cyclic Analysis of Steel Frames with Semi-Rigid Connections”, Elsevier, 2000.
[13] Faella, C., Piluso, V. and Rizzano, G., “Structural Steel Semirigid Connection”s, CRC Press LLC, Boca Raton, 2000.
[14] Kochenberger, G.A. and Glover, F., “Handbook of Meta-Heuristics”, Kluwer Academic Publishers, 2003.
[15] Christensen, P.W., “An Introduction to Structural Optimization”, Springer, Linköping, Sweden, 179-200, 2008.
[16] Kennedy, J. and Eberhartm, R.C., “Particle Swarm Optimization”, Proceedings of IEEE International Conference on Neural Networks, NJ, 1995, Piscataway.
[17] Liu, H., Shichang, S. and Ajith, A., “Particle Swarm approach to Scheduling Work-flow Applications in Distributed Data-intensive Computing Environments”, Proceedings of the 6th International Conference on Intelligent Systems Design and Applications, 2006, (ISDA'06) : 0-7695-2528-8/06.
[18] Doğan, E. and Saka, M.P., “Optimum Design of Steel Frames to LRFD- AISC using Particle Swarm Optimization”, Proceedings of The 9th International Conference on Computational Structures Technology, 2-5 September, Athens, Greece, 2008.
[19] Doğan, E. and Saka, M.P., “Particle Swarm Optimization Design of Moment Resisting Steel Frames with Semi-rigid Connections to LRFD-AISC”, Proceedings of the 8th World Congress on Structural and Multidisciplinary Optimization, 2009.
[20] Hasançebi, O. and Azad, K.S., “A Comparison of Metaheuristics in Structural Optimization" Intl. Conf. on Advances in Civil, Structural and Mechanical Engineering, 2013, CSM 2013, pp. 18-22.
[21] “LRFD-AISC”, Manual of Steel Construction - Load and Resistance Factor Design, SA, 1986.