Steel and Composite Structures

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Optimum design of braced steel frames via teaching learning based optimization

  • Artar, Musa (Department of Civil Engineering, Bayburt University)
  • Received : 2016.07.16
  • Accepted : 2016.10.18
  • Published : 2016.11.20
⟨ Previous Next ⟩

Abstract

In this study, optimum structural designs of braced (non-swaying) planar steel frames are investigated by using one of the recent meta-heuristic search techniques, teaching-learning based optimization. Optimum design problems are performed according to American Institute of Steel Construction- Allowable Stress Design (AISC-ASD) specifications. A computer program is developed in MATLAB interacting with SAP2000 OAPI (Open Application Programming Interface) to conduct optimization procedures. Optimum cross sections are selected from a specified list of 128W profiles taken from AISC. Two different braced planar frames taken from literature are carried out for stress, geometric size, displacement and inter-storey drift constraints. It is concluded that teaching-learning based optimization presents robust and applicable optimum solutions in multi-element structural problems.

Keywords

References

  1. AISC - ASD (1989), Manual of Steel Construction: Allowable Stress Design, American Institute of Steel Construction, Chicago, IL, USA.
  2. Artar, M. (2016), "Optimum design of steel space frames under earthquake effect using harmony search", Struct. Eng. Mech., Int. J., 58(3), 597-612. https://doi.org/10.12989/sem.2016.58.3.597
  3. Artar, M. and Daloglu, A.T. (2015), "Optimum design of steel space frames with composite beams using genetic algorithm", Steel Compos. Struct., Int. J., 19(2), 503-519. https://doi.org/10.12989/scs.2015.19.2.503
  4. ASCE (2005), Minimum design loads for building and other structures, ASCE7-05, New York, NY, USA.
  5. Aydogdu, I. and Saka, M.P. (2012), "Ant colony optimization of irregular steel frames including elemental warping effect", Adv. Eng. Softw., 44(1), 150-169. https://doi.org/10.1016/j.advengsoft.2011.05.029
  6. Azad, S.K., Hasancebi, O. and Saka, M.P. (2014), "Guided stochastic search technique for discrete sizing optimization of steel trusses: A design-driven heuristic approach", Comput. Struct., 134, 62-74. https://doi.org/10.1016/j.compstruc.2014.01.005
  7. Daloglu, A. and Armutcu, M. (1998), "Optimum design of plane steel frames using genetic algorithm", Teknik Dergi, 116, 1601-1615.
  8. Dede, T. (2013), "Optimum design of grillage structures to LRFD-AISC with teaching-learning based optimization", Struct. Multidisc. Optim., 48(5), 955-964. https://doi.org/10.1007/s00158-013-0936-3
  9. Dede, T. and Ayvaz, Y. (2013), "Structural optimization with teaching-learning-based optimization algorithm", Struct. Eng. Mech., Int. J., 47(4), 495-511. https://doi.org/10.12989/sem.2013.47.4.495
  10. Degertekin, S.O. (2007), "A comparison of simulated annealing and genetic algorithm for optimum design of nonlinear steel space frames", Struct. Multidisc. Optim., 34(4), 347-359. https://doi.org/10.1007/s00158-007-0096-4
  11. Degertekin, S.O. (2012), "Optimum design of geometrically non-linear steel frames using artificial bee colony algorithm", Steel Compos. Struct., Int. J., 12(6), 505-522. https://doi.org/10.12989/scs.2012.12.6.505
  12. Degertekin, S.O. and Hayalioglu, M.S. (2009), "Optimum design of steel space frames: Tabu search vs. simulated annealing and genetic algorithms", Int. J. Eng. Appl. Sci. (IJEAS), 1(2), 34-45
  13. Degertekin, S.O. and Hayalioglu, M.S. (2010), "Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases", Struct. Multidisc. Optim., 42(5), 755-768. https://doi.org/10.1007/s00158-010-0533-7
  14. Dumonteil, P. (1992), "Simple equations for effective length factors", Eng. J. AISC, 29(3), 111-115.
  15. Hasancebi, O., Erdal, F. and Saka, M.P. (2010a), "Adaptive harmony search method for structural optimization", J. Struct. Eng. ASCE, 136(4), 419-431. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000128
  16. Hasancebi, O., Carbas, S. and Saka, M.P. (2010b), " Improving the performance of simulated annealing in structural optimization", Struct. Multidisc. Optim., 41, 189-203. https://doi.org/10.1007/s00158-009-0418-9
  17. Hasancebi, O., Bahcecioglu, T., Kurc, O. and Saka, M.P. (2011), "Optimum design of high-rise steel buildings using an evolution strategy integrated parallel algorithm", Comput. Struct., 89, 2037-2051. https://doi.org/10.1016/j.compstruc.2011.05.019
  18. Hasancebi, O., Teke, T. and Pekcan, O. (2013), "A bat-inspired algorithm for structural optimization", Comput. Struct., 128, 77-90. https://doi.org/10.1016/j.compstruc.2013.07.006
  19. Lee, K.S. and Geem, Z.W. (2004), "A new structural optimization method based on the harmony search algorithm", Comput. Struct., 82, 781-798. https://doi.org/10.1016/j.compstruc.2004.01.002
  20. MATLAB (2009), The Language of Technical Computing, The Mathworks Inc., Natick, MA, USA.
  21. Rafiee, A., Talatahari, S. and Hadidi, A. (2013), "Optimum design of steel frames with semi-rigid connections using Big Bang-Big Crunch method", Steel Compos. Struct., Int. J., 14(5), 431-451. https://doi.org/10.12989/scs.2013.14.5.431
  22. Rao, R.V., Savsani, V.J. and Vakharia, D.P. (2011), "Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems", Computer-Aided Design, 43(3), 303-315. https://doi.org/10.1016/j.cad.2010.12.015
  23. Saka, M.P. (2009), "Optimum design of steel sway frames to BS5950 using harmony search algorithm", J. Constr. Steel Res., 65(1), 36-43. https://doi.org/10.1016/j.jcsr.2008.02.005
  24. SAP2000 (2008), Integrated Finite Elements Analysis and Design of Structures, Computers and Structures, Inc, Berkeley, CA, USA.
  25. Togan, V. (2012), "Design of planar steel frames using teaching-learning based optimization", Eng. Struct., 34, 225-232. https://doi.org/10.1016/j.engstruct.2011.08.035
  26. Togan, V. and Daloglu, A.T. (2006), "Optimization of 3d trusses with adaptive approach in genetic algorithms", Eng. Struct., 28(7), 1019-1027. https://doi.org/10.1016/j.engstruct.2005.11.007

Cited by

  1. Weight minimization of truss structures with sizing and layout variables using integrated particle swarm optimizer vol.23, pp.8, 2017, https://doi.org/10.3846/13923730.2017.1348982
  2. A Comparison between different techniques for optimum design of steel frames subjected to blast vol.15, pp.9, 2018, https://doi.org/10.1590/1679-78254952
  3. Optimum Design of Braced Steel Space Frames including Soil-Structure Interaction via Teaching-Learning-Based Optimization and Harmony Search Algorithms vol.2018, pp.1687-8094, 2018, https://doi.org/10.1155/2018/3854620
  4. Optimum design of steel bridges including corrosion effect using TLBO vol.63, pp.5, 2016, https://doi.org/10.12989/sem.2017.63.5.607
  5. Truss structure damage identification using residual force vector and genetic algorithm vol.25, pp.4, 2016, https://doi.org/10.12989/scs.2017.25.4.485
  6. Performance based design optimum of CBFs using bee colony algorithm vol.27, pp.5, 2016, https://doi.org/10.12989/scs.2018.27.5.613
  7. Buckling load optimization of laminated plates resting on Pasternak foundation using TLBO vol.67, pp.6, 2018, https://doi.org/10.12989/sem.2018.67.6.617
  8. Optimization of the braced dome structures by using Jaya algorithm with frequency constraints vol.30, pp.1, 2016, https://doi.org/10.12989/scs.2019.30.1.047
  9. Shape and size optimization of trusses with dynamic constraints using a metaheuristic algorithm vol.33, pp.5, 2016, https://doi.org/10.12989/scs.2019.33.5.747
  10. Optimization of cables size and prestressing force for a single pylon cable-stayed bridge with Jaya algorithm vol.34, pp.6, 2020, https://doi.org/10.12989/scs.2020.34.6.853
  11. Determination of proper post-tensioning cable force of cable-stayed footbridge with TLBO algorithm vol.40, pp.6, 2021, https://doi.org/10.12989/scs.2021.40.6.805