Abstract
Cable-stayed bridges construction involves the determination of a high number of design variables, both static and dynamic. Moreover, the properties of such variables make them statically indeterminate, meaning that a change in one design variable affects the response of the entire structure. This property makes the design of cable-stayed bridges a complex optimization problem. In this work, we use a Genetic Algorithm to evolve solutions for this problem. A set of experiments are executed, where conventional variation operators are used for exploring the solution space. The first experiments suggest that this is a problem with a deceptive landscape. However, we show that we can design solutions that optimize structural objectives. Moreover, we want also to minimize costs while presenting different optimized solutions. In the second set of experiments, we included a baseline solution in the population to evaluate if we could find better solutions using this approach. The results on the second set showed that it was possible, thus we moved to the third set of experiments with more parameter tuning. The experimental results suggest that we are able to find new and suitable solutions for the problem comparable to the existing baseline approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alan, H.: The art of Structural Engineering: The Work of Jorg Schlaich and His Team. Edition Axel Menges Stuttgart, London (1997)
Hibbeler, R.C., Kiang, T.: Structural Analysis. Pearson Prentice Hall, Upper Saddle River (2015)
Zienkiewicz, O., Taylor, R., Fox, D.: The Finite Element Method for Solid and Structural Mechanics. Elsevier, Amsterdam (2014)
Adeli, H.: Artificial intelligence in structural engineering. Eng. Anal. 3(3), 154–160 (1986)
Arciszewski, T., De Jong, K.A.: Evolutionary computation in civil engineering: research frontiers. In: Civil and Structural Engineering Computing: 2001, pp. 161–184. Saxe-Coburg Publications (2001)
Kicinger, R., Arciszewski, T., Jong, K.D.: Evolutionary computation and structural design: a survey of the state-of-the-art. Comput. Struct. 83(23–24), 1943–1978 (2005)
Salehi, H., Burgueño, R.: Emerging artificial intelligence methods in structural engineering. Eng. Struct. 171, 170–189 (2018)
Virlogeux, M.: Recent evolution of cable-stayed bridges. Eng. Struct. 21(8), 737–755 (1999)
Chen, W.F., Duan, L. (eds.): Bridge Engineering Handbook. CRC Press, Boca Raton (2014)
Latif, M., Saka, M.: Optimum design of tied-arch bridges under code requirements using enhanced artificial bee colony algorithm. Adv. Eng. Softw. 135, 102685 (2019)
Qin, C.: Optimization of cable-stretching planning in the construction of cable-stayed bridges. Eng. Optim. 19(1), 1–20 (1992)
Sung, Y.C., Chang, D.W., Teo, E.H.: Optimum post-tensioning cable forces of Mau-Lo Hsi cable-stayed bridge. Eng. Struct. 28(10), 1407–1417 (2006)
Baldomir, A., Hernandez, S., Nieto, F., Jurado, J.: Cable optimization of a long span cable stayed bridge in La Coruña (Spain). Adv. Eng. Softw. 41(7–8), 931–938 (2010)
Hassan, M.M.: Optimum design of cable-stayed bridges. Ph.D. Western Ontario University (2010)
Hassan, M.: Optimization of stay cables in cable-stayed bridges using finite element, genetic algorithm, and B-spline combined technique. Eng. Struct. 49, 643–654 (2013)
Negrão, J., Simões, L.: Optimization of cable-stayed bridges with three-dimensional modelling. Comput. Struct. 64(1–4), 741–758 (1997)
Simões, L., Negrão, J.: Optimization of cable-stayed bridges with box-girder decks. Adv. Eng. Softw. 31(6), 417–423 (2000)
Hassan, M.M., El Damatty, A.A., Nassef, A.O.: Database for the optimum design of semi-fan composite cable-stayed bridges based on genetic algorithms. Struct. Infrastr. Eng. 11(8), 1054–1068 (2015)
Simões, L.M.C., Negrão, J.H.J.O.: Optimization of cable-stayed bridges subjected to earthquakes with non-linear behaviour. Eng. Optim. 31(4), 457–478 (1999)
Ferreira, F., Simoes, L.: Optimum design of a controlled cable stayed bridge subject to earthquakes. Struct. Multidisc. Optim. 44(4), 517–528 (2011)
Baldomir, A., Kusano, I., Hernandez, S., Jurado, J.: A reliability study for the Messina bridge with respect to flutter phenomena considering uncertainties in experimental and numerical data. Comput. Struct. 128, 91–100 (2013)
Jurado, J.Á., Nieto, F., Hernández, S., Mosquera, A.: Efficient cable arrangement in cable stayed bridges based on sensitivity analysis of aeroelastic behaviour. Adv. Eng. Softw. 39(9), 757–763 (2008)
Nieto, F., Hernández, S., Jurado, J.Á., Mosquera, A.: Analytical approach to sensitivity analysis of flutter speed in bridges considering variable deck mass. Adv. Eng. Softw. 42(4), 117–129 (2011)
Ferreira, F., Simões, L.: Optimum cost design of controlled cable stayed footbridges. Comput. Struct. 106–107, 135–143 (2012)
Ferreira, F., Simões, L.: Least cost design of curved cable-stayed footbridges with control devices. Structures 19, 68–83 (2019)
Ferreira, F., Simões, L.: Optimum design of a controlled cable-stayed footbridge subject to a running event using semiactive and passive mass dampers. J. Perform. Constr. Fac. 33(3), 04019025 (2019)
Dallard, P., et al.: London millennium bridge: pedestrian-induced lateral vibration. J. Bridge Eng. 6(6), 412–417 (2001)
Dallard, P.: The London millennium footbridge. Struct. Eng. 79(22), 17–21 (2001)
Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press, London (1996)
Acknowledgments
This work is partially supported by national funds through the Foundation for Science and Technology (FCT), Portugal, within the scope of the project UID/CEC/00326/2019 and it is based upon work from COST Action CA15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Correia, J., Ferreira, F. (2020). Designing Cable-Stayed Bridges with Genetic Algorithms. In: Castillo, P.A., Jiménez Laredo, J.L., Fernández de Vega, F. (eds) Applications of Evolutionary Computation. EvoApplications 2020. Lecture Notes in Computer Science(), vol 12104. Springer, Cham. https://doi.org/10.1007/978-3-030-43722-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-43722-0_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43721-3
Online ISBN: 978-3-030-43722-0
eBook Packages: Computer ScienceComputer Science (R0)