Advertisement

Choosing Methods for Manufacture of Reinforced Concrete Frames Based on Solution of Optimisation Problems

  • Igor SerpikEmail author
  • Inna Mironenko
Conference paper
  • 44 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

A methodology has been suggested for assessing the economic efficiency of making decisions on the selection of a technology for constructing plane reinforced concrete frames manufactured without pre-stressing reinforcement. The approach is based on execution of the optimum synthesis of a structure for each of the process options in question. The optimisation is carried out using a metaheuristic scheme of evolutionary modelling. A task has been set to minimise the planned manufacturing cost of a reinforced-concrete frame while taking into consideration the peculiarities of the processes for cast-in-situ, prefabricated, and composite structures. The regulatory limitations in terms of strength, stiffness, and crack resistance of the framework are taken into consideration. Concrete and reinforcing steel classes, cross-section values of columns and cross bars, as well as the amount and diameters of reinforcement bars vary on discrete sets. The search is performed using a genetic algorithm stipulating functioning of the main and elite populations. In the main population, individuals are subjected to single-point crossover, mixed mutation execution procedures, and selection based on the criterion of minimum cost. The elite population is used for storage of efficient genetic material and replacement of inoperative individuals of the main population. When calculating the stress strain behaviour of the structure variants, the factors taken into consideration are the physically non-linear behaviour of concrete and reinforcement, and the possibility of formation of transverse cracks in concrete. The operability of the suggested methodology is illustrated via the example of selecting a method of constructing a double-span reinforced concrete frame.

Keywords

Reinforced concrete frames Manufacturing process Cost Optimisation Evolutionary modelling 

Notes

Acknowledgment

The reported study was funded by RFBR according to the research project No. 18-08-00567.

References

  1. 1.
    Perez, R.E., Behdinan, K.: Particle swarm approach for structural design optimization. Comput. Struct. 85, 1579–1588 (2007)CrossRefGoogle Scholar
  2. 2.
    Kaveh, A., Talatahari, S.: Optimum design of skeletal structures using imperialist competitive algorithm. Comput. Struct. 88(21–22), 1220–1229 (2010)CrossRefGoogle Scholar
  3. 3.
    Lee, K.S., Geem, Z.W., Lee, S.-H., Bae, K.-W.: The harmony search heuristic algorithm for discrete structural optimization. Eng. Optim. 37(7), 663–684 (2005)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Kaveh, A., Farhoudi, N.: A new optimization method: dolphin echolocation. Adv. Eng. Softw. 59, 53–70 (2013)CrossRefGoogle Scholar
  5. 5.
    Lamberti, L.: An efficient simulated annealing algorithm for design optimization of truss structures. Comput. Struct. 86(19–20), 1936–1953 (2008)CrossRefGoogle Scholar
  6. 6.
    Kaveh, A., Mahdavi, V.R.: Colliding bodies optimization method for optimum design of truss structures with continuous variables. Adv. Eng. Softw. 70, 1–12 (2014)CrossRefGoogle Scholar
  7. 7.
    Kaveh, A., Zolghadr, A.: Cyclical parthenogenesis algorithm for shape and size optimization of truss structures with frequency constraints. Eng. Optim. 49(8), 1317–1334 (2017)CrossRefGoogle Scholar
  8. 8.
    Sadollaha, A., Bahreininejada, A., Eskandarb, H., Hamdia, M.: Mine blast algorithm for optimization of truss structures with discrete variables. Comput. Struct. 102–103, 49–63 (2012)CrossRefGoogle Scholar
  9. 9.
    Miguel, L.F.F., Lopez, R.H., Miguel, L.F.F.: Multimodal size, shape and topology optimization of truss structures using the firefly algorithm. Adv. Eng. Softw. 56, 23–37 (2013)CrossRefGoogle Scholar
  10. 10.
    Degertekin, S.O., Hayalioglu, M.S.: Sizing truss structures using teaching-learning-based optimization. Comput. Struct. 119, 177–188 (2013)CrossRefGoogle Scholar
  11. 11.
    Stolpe, M.: Truss optimization with discrete design variables: a critical review. Struct. Multidiscip. Optim. 53(2), 349–374 (2016)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Pholdee, N., Bureerat, S.: A comparative study of eighteen self-adaptive metaheuristic algorithms for truss sizing optimisation. KSCE J. Civil Eng. 22(8), 2982–2993 (2018)CrossRefGoogle Scholar
  13. 13.
    Kaveh, A., Ilchi Ghazaan, M.: Vibrating particles system algorithm for truss optimization with multiple natural frequency constraints. Acta Mech. 228(1), 307–322 (2017)MathSciNetCrossRefGoogle Scholar
  14. 14.
    McCall, J.: Genetic algorithms for modelling and optimization. J. Comput. Appl. Math. 184(1), 205–222 (2005)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Serpik, I.N., Alekseytsev, A.V., Balabin, P.Y.: Mixed approaches to handle limitations and execute mutation in the genetic algorithm for truss size, shape and topology optimization. Period. Polytech. Civil Eng. 61(3), 471–482 (2017)Google Scholar
  16. 16.
    Govindaraj, V., Ramasamy, J.V.: Optimum detailed design of reinforced concrete frames using genetic algorithms. Eng. Optimiz. 39(4), 471–494 (2007)CrossRefGoogle Scholar
  17. 17.
    Kaveh, A., Sabzi, O.: A comparative study of two meta-heuristic algorithms for optimum design of reinforced concrete frames. Int. J. Civil Eng. 9(3), 193–206 (2011)Google Scholar
  18. 18.
    Paya, I., Yepes, V., Gonzalez-Vidosa, F., Hospitaler, A.: Multiobjective optimization of concrete frames by simulated annealing. Comput.-Aided Civil Infrastruct. 23(8), 596–610 (2008)CrossRefGoogle Scholar
  19. 19.
    Serpik, I.N., Mironenko, I.V., Averchenkov, V.I.: Algorithm for evolutionary optimization of reinforced concrete frames subject to nonlinear material deformation. Procedia Eng. 150, 1311–1316 (2016)CrossRefGoogle Scholar
  20. 20.
    Ulusoy, S., Kayabekir, A.E., Bekdaş, G., Nigdeli, S.M.: Optimum design of reinforced concrete multi-story multi-span frame structures under static loads. Int. J. Eng. Technol. 10(5), 403–407 (2018)CrossRefGoogle Scholar
  21. 21.
    Serpik, I.N., Alekseytsev, A.V.: Optimization of flat steel frame and foundation posts system. Mag. Civil Eng. 61(1), 14–24 (2016)CrossRefGoogle Scholar
  22. 22.
    Serpik, I.N., Alekseytsev, A.V., Balabin, P.Y., Kurchenko, N.S.: Flat rod systems: optimization with overall stability control. Mag. Civil Eng. 76(8), 181–192 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Bryansk State Engineering Technological UniversityBryanskRussia

Personalised recommendations