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Fine optimization of rigid frame bridge parameters based on the genetic algorithm

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EN
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EN
The primary aim of this paper is to study the optimization of rigid frame bridge parameters. With a three-span continuous rigid frame bridge as the engineering background, finite element models were established. Then an index about bridge force condition was proposed to calculate the optimal side-to-mid span ratio with different side-to-mid span ratio parameters. Based on the ratio, the values of the girder depth at the pier and the bottom curve degree of the box-girder were taken as parameters in their common ranges for further optimization. A comprehensive multi-objective evaluation index correlated with the mid-span section stress, the mid-span deflection, and the concrete consumption was proposed to do fine optimization through the genetic algorithm method. The result of this study shows that the genetic algorithm is an effective method for bridge optimization and could provide better girder design parameter combinations for the comprehensive performance, and the optimal result could be obtained in the continuous parameter definition domains. It also shows that a larger girder depth at the pier to span ratio and a smaller curve degree in their common ranges should be taken for the bridge’s comprehensive performance.
Twórcy
autor
  • Central South University, School of Civil Engineering, Changsha, China
autor
  • Central South University, School of Civil Engineering, Changsha, China
autor
  • Central South University, School of Civil Engineering, Changsha, China
autor
  • Central South University, School of Civil Engineering, Changsha, China
Bibliografia
  • [1] X. Zhou and X. Zhang, “Thoughts on the development of bridge technology in China”, Engineering, vol. 5 no. 6, pp. 1120-1130, 2019, DOI: 10.1016/j.eng.2019.10.001.
  • [2] N. Hu et al., “Recent development of design and construction of medium and long span high-speed railway bridges in China”, Engineering Structures, vol. 74, pp. 233-241, 2014, DOI: 10.1016/j.engstruct.2014.05.052.
  • [3] Li-jun Jia et al., “Optimization design for pre-stressed UHPC continuous rigid frame bridge”, Journal of Shenyang University of Technology, vol. 39, no. 5, pp. 591-595, 2017.
  • [4] N. Markiz, and A. Jrade, “Integrating fuzzy-logic decision support with a bridge information management system (BrIMS) at the conceptual stage of bridge design”, ITcon, vol. 23, pp. 92-121, 2018.
  • [5] M. Li and Z. Fang, “Methods in Parameter Optimization of PC Continuous Frame Bridge”, Highway Engineering, vol. 1, pp. 74-80, 2008.
  • [6] C.F. Wang., X.C. Chen, and X.S. Xia, “Optimization of design parameters of high-pier and long-span continuous frigid frame bridge”, Journal of Highway and Transportation Research and Development, vol. 23, no. 4, pp. 80-83, 2006.
  • [7] Y. Xie et al., “Optimal depth-to-span ratio for composite rigid-frame bridges”, Practice Periodical on Structural Design and Construction, vol. 24, no. 2, pp. 0501-9001, 2019, DOI: 10.1061/(ASCE)SC.1943-5576.0000419.
  • [8] D.J. Wilde, “Globally optimal design”, 1987.
  • [9] K.Y. Lin and D.M. Frangopol, “Reliability-based optimum design of reinforced concrete girders”, Structural safety, vol. 18, no. 2, pp. 239-258, 1996, DOI: 10.1016/0167-4730(96)00013-6.
  • [10] F.J. Martínez et al., “Design of tall bridge piers by ant colony optimization”, Engineering Structures, vol. 33, no. 8, pp. 2320-2329, 2011, DOI: 10.1016/j.engstruct.2011.04.005.
  • [11] A.M.B. Martins et al., “Optimization of cable forces on concrete cable-stayed bridges including geometrical nonlinearities”, Computers and Structures, vol. 155, pp. 18-27, 2015, DOI: 10.1016/j.compstruc.2015.02.032.
  • [12] J.V. Marti et al., “Design of pre-stressed concrete precast road bridges with hybrid simulated annealing”, Engineering Structures, vol. 48, pp. 342-352, 2013, DOI: 10.1016/j.engstruct.2012.09.014.
  • [13] G. Levitin, “Computational intelligence in reliability engineering: evolutionary techniques in reliability analysis and optimization”, Springer Science and Business Media, vol. 39, 2006.
  • [14] H. Afshari, W. Hare, and S. Tesfamariam, “Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures”, Applied Soft Computing, vol. 83, pp. 105-631, October, 2019, DOI: 10.1016/j.asoc.2019.105631.
  • [15] J.R. Sampson, “Adaptation in natural and artificial systems”, 1976.
  • [16] M. Mitchell, “An introduction to genetic algorithms”, MIT press, 1998.
  • [17] R.L. Haupt and S.E. Haupt, “Practical Genetic Algorithms”, Basic Applications, vol. 10, pp. 67-93, 2004, DOI: 10.1002/0471671746.ch4.
  • [18] M.A. Eid and M.Z. AbdElrehim, “Optimization of tunnel profile in different ground conditions using genetic algorithms”, In EURO:(TUN 2013), 3rd International Conference on Computational Methods in Tunnelling and Subsurface Engineering, Ruhr University Bochum, 2013.
  • [19] D.R. Griffiths and J.C. Miles, “Determining the optimal cross-section of beams”, Advanced Engineering Informatics, vol. 17, no. 2, pp. 59-76, 2003, DOI: 10.1016/S1474-0346(03)00039-9.
  • [20] V. Lute, A. Upadhyay, and K.K. Singh, “Computationally efficient analysis of cable-stayed bridge for GA-based optimization”, Engineering Applications of Artificial Intelligence, vol. 22, no. 4-5, pp. 750-758, June, 2009, DOI: 10.1016/j.engappai.2009.04.001.
  • [21] Y. Feng et al., “Cable optimization of a cable-stayed bridge based on genetic algorithms and the influence matrix method”, Engineering Optimization, 2020, DOI: 10.1080/0305215X.2020.1850709.
  • [22] R.I.I. Concepcion, L. Ilagan, and I. Valenzuela, “Optimization of nonlinear temperature gradient on eigenfrequency using metaheuristic genetic algorithm for reinforced concrete bridge structural health”, EAI/Springer Innovations in Communications, pp. 141-151, 2020.
  • [23] J. Cheng, “Optimum design of steel truss arch bridges using a hybrid genetic algorithm”, Journal of Constructional Steel Research, vol. 66, no. 8-9, pp. 1011-1017, 2010, DOI: 10.1016/j.jcsr.2010.03.007.
  • [24] M.Z. Abd Elrehim, M.A. Eid, and M.G. Sayed, “Structural optimization of concrete arch bridges using Genetic Algorithms”, Ain Shams Engineering Journal, vol. 10, no. 3, pp. 507-516, 2019, DOI: 10.1016/j.asej.2019.01.005.
  • [25] T.W. Simpson et al., “Approximation methods in multidisciplinary analysis and optimization: a panel discussion”, Structural and multidisciplinary optimization, vol. 27, no. 5, pp. 302-313, 2004, DOI: 10.1007/s00158-004-0389-9.
  • [26] V. Penadés-Plà, T. García-Segura, and V. Yepes, “Accelerated optimization method for low-embodied energy concrete box-girder bridge design”, Engineering Structures, vol. 179, pp. 556-565, 2019, DOI: 10.1016/j.engstruct. 2018.11.015.
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Bibliografia
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