Optimal Design of Steel Lattice Transmission Line Towers

  • Ali Kaveh
  • Majid Ilchi Ghazaan


Lattice towers are used for power lines of all voltages, and are the most common type for high-voltage transmission lines. The design optimization of these structures has always been a difficult task due to a large number of design variables. Some studies have already been performed in the context of optimization of transmission line tower structures. In this chapter, the efficiency of colliding bodies optimization (CBO), enhanced colliding bodies optimization (ECBO), vibrating particles system (VPS), and a hybrid algorithm called MDVC-UVPS are investigated in optimum design of three latticed steel towers. The procedure considers discrete values of cross-sectional areas.


  1. 1.
    Rao GV (1995) Optimum designs for transmission line towers. Comput Struct 57(1):81–92CrossRefGoogle Scholar
  2. 2.
    Kaveh A, Gholipour Y, Rahami H (2008) Optimal design of transmission towers using genetic algorithm and neural networks. Int J Space Struct 23(1):1–9CrossRefGoogle Scholar
  3. 3.
    París J, Martínez S, Navarrina F, Colominas I, Casteleiro M (2010) Structural optimization of high tension towers. In: 2nd International conference on engineering optimization, PortugalGoogle Scholar
  4. 4.
    Guo HY, Li ZL (2011) Structural topology optimization of high-voltage transmission tower with discrete variables. Struct Multidiscip Optim 43(6):851–861CrossRefGoogle Scholar
  5. 5.
    Chunming W, Tingting S, Bin M, Jing G (2012) Research on the optimal layout of high strength steel in the transmission tower. Phys Procedia 33:619–625CrossRefGoogle Scholar
  6. 6.
    Tort C, Şahin S, Hasançebi O (2017) Optimum design of steel lattice transmission line towers using simulated annealing and PLS-TOWER. Comput Struct 15(179):75–94CrossRefGoogle Scholar
  7. 7.
    Kaveh A, Mahdavi VR (2014) Colliding bodies optimization: a novel meta-heuristic method. Comput Struct 139:18–27CrossRefGoogle Scholar
  8. 8.
    Kaveh A, Ilchi Ghazaan M (2014) Enhanced colliding bodies optimization for design problems with continuous and discrete variables. Adv Eng Softw 77:66–75CrossRefGoogle Scholar
  9. 9.
    Kaveh A, Ilchi Ghazaan M (2016) Vibrating particles system algorithm for truss optimization with multiple natural frequency constraints. Acta Mech 228(1):307–332MathSciNetCrossRefGoogle Scholar
  10. 10.
    Kaveh A, Ilchi Ghazaan M (2018) A new hybrid meta-heuristic algorithm for optimal design of large-scale dome structures. Eng Optimiz 50(2):235–252MathSciNetCrossRefGoogle Scholar
  11. 11.
    Lee KS, Geem ZW, Lee SH, Bae KW (2005) The harmony search heuristic algorithm for discrete structural optimization. Eng Optimiz 37(7):663–684MathSciNetCrossRefGoogle Scholar
  12. 12.
    Groenwold AA, Stander N, Snyman JA (1999) A regional genetic algorithm for the discrete optimal design of truss structures. Int J Numer Methods Eng 44:749–766CrossRefGoogle Scholar
  13. 13.
    Saka MP (1990) Optimum design of pin-jointed steel structures with practical applications. J Struct Eng 116(10):2599–2620CrossRefGoogle Scholar
  14. 14.
    Toğan V, Daloğlu AT (2006) Optimization of 3D trusses with adaptive approach in genetic algorithms. Eng Struct 28(7):1019–1027CrossRefGoogle Scholar
  15. 15.
    American Institute of Steel Construction (AISC) (1998) Manual of steel construction: allowable stress design, Chicago, USAGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Civil EngineeringIran University of Science and TechnologyTehranIran

Personalised recommendations