Genetic Algorithms-based Optimization of Cable Stayed Bridges

Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh

.

DOI: 10.4236/jsea.2011.410066                

Abstract

Optimum design of cable stayed bridges depends on number of parameters. Design of Cable stayed bridge satisfying all practical constraints is challenging to the designers. Considering the huge number of design variables and practical constraints, Genetic Algorithms (GA) is most suitable for optimizing the cable stayed bridge. In the present work the optimum design is carried out by taking total material cost of bridge as objective function. During problem formulation most of the practical design variables and constraints are considered. Using genetic algorithms some parametric studies such as effect of geometric nonlinearity, effect of grouping of cables, effect of practical site constraints on tower height and side span, effect of bridge material, effect of cable layout, effect of extra-dosed bridges on optimum relative cost have been presented. Data base is prepared for new designers to estimate the relative cost of bridge.

Keywords

Cable Stayed Bridge, Genetic Algorithms, Stiffness Analysis

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	M. S.Troitsky, “Cable-Stayed Bridges: Theory and Design,” Crosby Lockwood Staples, London, 1972.
[2]	M. Y. H. Bangash, “Prototype Bridge Structures: Analysis and Design,” Thomas Telford Publisher, London, 1999.
[3]	W. Podolny and J. B. Scalzi, “Construction and Design of Cable Stayed Bridges,” John Wiley and Sons, New York, 1986.
[4]	P. Krishna, A. S. Arya and T. P. Agrawal, “Effect of Cable Stiffness on Cable-Stayed Bridges,” Journal of Structural Engineering, Vol. 111, No. 9, 1985, pp. 2008-2020.
[5]	H. I. A. Hegab, “Parametric Investigation of Cable Stayed Bridges,” Journal of Structural Engineering, Vol. 114, No. 8, 1988, pp. 1917-1928. doi:10.1061/(ASCE)0733-9445(1988)114:8(1917)
[6]	D. Shi and Y. M. Xu, “Optimum Design of Cable Stayed Bridges with Multi Variables. Computing in Civil and Building Engineering,” Pahi & Werner Edition, Rotterdam, 1995.
[7]	P. K. Singh and P. K. Mallick, “Optimum Cost Solution for Cable-Stayed bridges,” Journal of the Indian National Group of the International Association for Bridge and Structural Engineering, Vol. 32, No. 1, 2002, pp. 51-72.
[8]	C. S. Krishnamoorthy, P. P. Venkatesh and R. Sudarshan, “Object-Oriented Framework for Genetic Algorithms with Application to Space Truss Optimization,” Journal of Soft Computing in Civil Engineering, Vol. 16, No. 1, 2002, pp. 66-75. doi:10.1061/(ASCE)0887-3801(2002)16:1(66)
[9]	A. Upadhyay and V. Kalyanaraman, “Optimum Design of Fibre Composite Stiffened Panels Using Genetic Algorithms,” Engineering Optimization, Vol. 33, 2000, pp. 201-220.
[10]	V. Srinivas and K. Ramanjaneyulu, “An Integrated Approach for Optimum Design of Bridge Decks Using Genetic Algorithms and Artificial Neural Networks,” Advances in Engineering Software, Vol. 38, No. 7, 2007, pp. 475-487. doi:10.1016/j.advengsoft.2006.09.016
[11]	L. M. C. Simoes and J. H. O. Negrao, “Sizing and Geometry Optimization of Cable-Stayed Bridges,” Computers and Structures, Vol. 52, No. 2, 1994, pp. 309-321. doi:10.1016/0045-7949(94)90283-6
[12]	J. H. O. Negrao and L. M. C. Simoes, “Optimization of Cable Stayed Bridges with Three Dimensional Modeling,” Computers and Structures, Vol. 64, No. 1-4, 1997, pp. 741-758. doi:10.1016/S0045-7949(96)00166-6