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Optimum design of multi-span composite box girder bridges using Cuckoo Search algorithm

  • Kaveh, A. (Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology) ;
  • Bakhshpoori, T. (Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology) ;
  • Barkhori, M. (Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology)
  • Received : 2013.11.04
  • Accepted : 2014.04.19
  • Published : 2014.11.25

Abstract

Composite steel-concrete box girders are frequently used in bridge construction for their economic and structural advantages. An integrated metaheuristic based optimization procedure is proposed for discrete size optimization of straight multi-span steel box girders with the objective of minimizing the self-weight of girder. The metaheuristic algorithm of choice is the Cuckoo Search (CS) algorithm. The optimum design of a box girder is characterized by geometry, serviceability and ultimate limit states specified by the American Association of State Highway and Transportation Officials (AASHTO). Size optimization of a practical design example investigates the efficiency of this optimization approach and leads to around 15% of saving in material.

Keywords

References

  1. American Association of State Highway and Transportation Officials (AASHTO) (2002), Standard Specifications for Highway Bridges, 17th Ed., Washington, DC, USA.
  2. Chen, Y.S. and Yen, B.T. (1980), "Analysis of composite box girders", Fritz Laboratory Reports, Report No. 380.12(80).
  3. Ding, Y., Jiang, K., Shao, F. and Deng, A. (2013), "Experimental study on ultimate torsional strength of PC composite box-girder with corrugated steel webs under pure torsion", Struct. Eng. Mech., Int. J., 46(4), 519-531. https://doi.org/10.12989/sem.2013.46.4.519
  4. Erdal, F., Dogan, E. and Saka, M.P. (2011), "Optimum design of cellular beams using harmony search and particle swarm optimizers", J. Constr. Steel. Res., 67(2), 237-247. https://doi.org/10.1016/j.jcsr.2010.07.014
  5. Fragiadakis, M. and Lagaros, N.D. (2011), "An overview to structural seismic design optimisation frameworks", Comput. Struct., 89(11-12), 1155-1165. https://doi.org/10.1016/j.compstruc.2010.10.021
  6. Kaveh, A. (2014), Advances in Metaheuristic Algorithms for Optimal Design of Structures, Springer International Publishing, Switzerland.
  7. Kaveh, A. and Bakhshpoori, T. (2013), "Optimum design of steel frames using Cuckoo Search algorithm with Levy flights", Struct. Design. Tall. Spec. Build., 22(13), 1023-1036. https://doi.org/10.1002/tal.754
  8. Kaveh, A., Bakhshpoori, T. and Ashoori, M. (2012), "An efficient optimization procedure based on cuckoo search algorithm for practical design of steel structures", Int. J. Optim. Civil. Eng., 2(1), 1-14.
  9. Kennedy, J., Eberhart, R. and Shi, Y. (2001), Swarm Intelligence, Morgan Kaufmann, San Francisco, CA, USA.
  10. Ko, H.-J., Moon, J., Shin, Y.-W. and Lee, H.-E. (2013), "Non-linear analyses model for composite box-girders with corrugated steel webs under torsion", Steel Composite Struct., Int. J., 14(5), 409-429. https://doi.org/10.12989/scs.2013.14.5.409
  11. Kochenberger, G.A. and Glover, F. (2003), Handbook of Metaheuristics, Kluwer Academic, Dordrecht, The Netherlands.
  12. Lee, K.S. and Geem, W. (2004), "A new structural optimization method based on the harmony search algorithm", Comput. Struct., 82(9-10), 781-798. https://doi.org/10.1016/j.compstruc.2004.01.002
  13. Luszczek, P. (2009), "Parallel programming in MATLAB", Int. J. High. Perform. Comput. Appl., 23(3), 277-283. https://doi.org/10.1177/1094342009106194
  14. Rana, Sh., Islam, N., Ahsan, R. and Ghani, S.N. (2013), "Application of evolutionary operation to the minimum cost design of continuous prestressed concrete bridge structure", Eng. Struct., 46, 38-48. https://doi.org/10.1016/j.engstruct.2012.07.017
  15. Razaqpur, A.G. and Li, H.G. (1991), "Thin walled multi-cell box girder finite element", J. Struct. Eng., 117(10), 2953-2971. https://doi.org/10.1061/(ASCE)0733-9445(1991)117:10(2953)
  16. Saka, M.P. (2009), "Optimum design of steel sway frames to BS5950 using harmony search algorithm", J. Const. Steel Res., 65(1), 36-43. https://doi.org/10.1016/j.jcsr.2008.02.005
  17. Saka, M.P. and Dogan, E. (2012), "Design optimization of moment resisting steel frames using a Cuckoo Search algorithm", (B.H.V. Topping Ed.), Proceedings of the Eleventh International Conference on Computational Structures Technology, Civil-Comp Press, Stirlingshire, UK, Paper 71. DOI: 10.4203/ccp.99.71
  18. Saka, M.P. and Geem, Z.W. (2013), "Mathematical and metaheuristic applications in design optimization of steel frame structures: An extensive review", Math. Prob. Eng., Article ID 271031, 33pages.
  19. Yang, X.S. (2008), Nature-Inspired Metaheuristic Algorithms, Luniver Press, Frome, UK.
  20. Yang, X.S. and Deb, S. (2009), "Engineering optimisation by cuckoo search", Int. J. Math. Model. Num. Optim., 1(4), 330-343.

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