DOI QR코드

DOI QR Code

Seismic design of steel frames using multi-objective optimization

  • Kaveh, A. (Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology) ;
  • Shojaei, I. (School of Civil Engineering, College of Engineering, University of Tehran) ;
  • Gholipour, Y. (Engineering Optimization Research Group, College of Engineering, University of Tehran) ;
  • Rahami, H. (Engineering Optimization Research Group, College of Engineering, University of Tehran)
  • Received : 2012.06.09
  • Accepted : 2012.12.15
  • Published : 2013.01.25

Abstract

In this study a multi-objective optimization problem is solved. The objectives used here include simultaneous minimum construction cost in term of sections weight, minimum structural damage using a damage index, and minimum non-structural damage in term of inter-story drift under the applied ground motions. A high-speed and low-error neural network is trained and employed in the process of optimization to estimate the results of non-linear time history analysis. This approach can be utilized for all steel or concrete frame structures. In this study, the optimal design of a planar eccentric braced steel frame is performed with great detail, using the presented multi-objective algorithm with a discrete population and then a moment resisting frame is solved as a supplementary example.

Keywords

References

  1. Adeli, H, Cheng, N.T. (1993), "Integrated genetic algorithm for optimization of space structures", J Aerospace Eng, ASCE, 6(4), 315-328. https://doi.org/10.1061/(ASCE)0893-1321(1993)6:4(315)
  2. Afshar, A., Sharifi, F. and Jalali, M.R. (2009), "Non-dominated archiving multicolony ant algorithm in timecost trade-off optimization", J Constr Eng Manage, 135(7), 668-674. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:7(668)
  3. Alimoradi, A., Pezeshk, S. and Foley, C.M. (2004), "Automated performance-based design of steel frames", ASCE Structures Congress, Nashville, TN, 22-26.
  4. Barbosa, H.J.C. and Lemonge, A.C.C. (2003), "A new adaptive penalty scheme for genetic algorithms", Information Sciences, 156, 215-251. https://doi.org/10.1016/S0020-0255(03)00177-4
  5. Beck, J.L., Chan, E., Irfanoglu, A. and Papadimitriou, C. (1999), "Multi-criteria optimal structural design under uncertainty", Earthq Eng Struct Dynam, 28, 741-761. https://doi.org/10.1002/(SICI)1096-9845(199907)28:7<741::AID-EQE840>3.0.CO;2-6
  6. Choi, H. and Kim, J. (2009) "Evaluation of Seismic energy demand and its application on design of buckling-restrained braced frames", Struct. Eng. Mech., 31(1), 93-112. https://doi.org/10.1016/j.engstruct.2008.07.017
  7. Deb, K. (2001), Multi-objective Optimization Using Evolutionary Algorithms, Wiley, Chichester, UK.
  8. Deb, K. and Agarwal, R.B. (1995), "Simulated binary crossover for continuous search space", Complex Syst., 9, 115-148.
  9. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T. (2002), "A fast elitist multi-objective genetic algorithm: NSGAII", IEEE Trans Evol Comput, 6(2), 182-197. https://doi.org/10.1109/4235.996017
  10. Fonseca, C.M. and Fleming, P.J. (1995), "An overview of evolutionary algorithms m multi-objective optimization", Evolutionary Comput. J, 3(1), 1-16. https://doi.org/10.1162/evco.1995.3.1.1
  11. Goldberg, D.E. (1989a), Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley: Reading, MA.
  12. Goldberg, D.E., Korb, B. and Deb, K. (1989b), "Messy genetic algorithms: Motivation, analysis and first results", Complex Syst., 3(5), 493-530.
  13. Horn, J., Nafploitis, N. and Goldberg, D. (1994), "A niched Pareto genetic algorithm for multi-objective optimization", Proc First IEEE Conf Evol. Comput., 82-87.
  14. Hsu, H.L., Juang, J.L. and Chou, C.H. (2011), "Experimental evaluation on the Seismic performance of steel knee braced frame structures with energy dissipation mechanism", Steel Composite Struct., 11(1), 77-91. https://doi.org/10.12989/scs.2011.11.1.077
  15. Huang, M.W. and Arora, J.S. (1997), "Optimal design of steel structures using standard sections", Struct. Multidiscip Opt., 14, 24-35. https://doi.org/10.1007/BF01197555
  16. aveh, A. and Talatahari, S. (2010), "Optimum design of skeletal structures using imperialist competitive algorithm", Comput. Struct., 88(21-22), 1220-1229. https://doi.org/10.1016/j.compstruc.2010.06.011
  17. Kaveh, A. and Laknejadi, K. (2011a), "A novel hybrid charge system search and particle swarm optimization method for multi-objective optimization", Expert Syst. Appl., 38 (12), 15475-15488. https://doi.org/10.1016/j.eswa.2011.06.012
  18. Kaveh, A. and Laknejadi, K. (2011b), "A hybrid multi-objective particle swarm optimization and decision making procedure for optimal design of truss structures", Iranian J. Sci. Tech., 35(C2), 137-154.
  19. Kaveh, A., Laknejadi, K. and Alinejad, B. (2012), "Performance based multi-objective optimization of large steel structures", Acta Mech., 223(2), 355-369. https://doi.org/10.1007/s00707-011-0564-1
  20. Kaveh, A., Gholipour, Y. and Rahami, H. (2008), "Optimal design of transmission towers using genetic algorithm and neural networks", Int. J. Space Struct., 23(1),1-19. https://doi.org/10.1260/026635108785342082
  21. Lagaros, N.D. and Papadrakakis, M. (2007), "Seismic design of RC structures: A critical assessment in the framework of multi-objective optimization", Earthq. Eng. Struct. Dyn., 36(12), 1623-1639. https://doi.org/10.1002/eqe.707
  22. Li, G., Zhou, R., Duan, L. and Chen, W.F. (1999), "Multiobjective and multilevel optimization for steel frames", Eng. Struct., 21(6), 519-529. https://doi.org/10.1016/S0141-0296(97)00226-5
  23. Liu, M. (2003), "Development of multiobjective optimization procedures for seismic design of steel moment frame structures", Ph.D. Thesis, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL.
  24. Liu, M., Burns, S.A. and Wen, Y.K. (2005), "Multiobjective optimization for performance-based seismic design of steel moment frame structures", Earthq. Eng. Struct. Dyn., 34(3), 289-306. https://doi.org/10.1002/eqe.426
  25. Malhotra, P.K. (1999), "Response of building to near-field pulse like ground motion", Earthq. Eng. Struct. Dyn., 28, 1309-1326. https://doi.org/10.1002/(SICI)1096-9845(199911)28:11<1309::AID-EQE868>3.0.CO;2-U
  26. Ohsaki, M., Kinoshita, T. and Pan, P. (2007), "Multiobjective heuristic approaches to seismic design of steel frames with standard sections", Earthq. Eng. Struct. Dyn., 36(11), 1481-1495. https://doi.org/10.1002/eqe.690
  27. Omkar SN, Khandelwal R, Ananth TVS, Naik GN, Gopalakrishnan S. (2009), "Quantum behaved particle swarm optimization (QPSO) for multi-objective design optimization of composite structures", Expert Syst Appl, 36(8), 11312-11322. https://doi.org/10.1016/j.eswa.2009.03.006

Cited by

  1. An efficient method for seismic analysis of structures vol.32, pp.6, 2015, https://doi.org/10.1108/EC-07-2014-0159
  2. Seismic design optimization of multi–storey steel–concrete composite buildings vol.170, 2016, https://doi.org/10.1016/j.compstruc.2016.03.010
  3. Researching a Fuzzy- and Performance-Based Optimization Method for the Life-Cycle Cost of SRHPC Frame Structures vol.7, pp.3, 2017, https://doi.org/10.3390/app7030269
  4. An optimization-based method for prediction of lumbar spine segmental kinematics from the measurements of thorax and pelvic kinematics vol.31, pp.12, 2015, https://doi.org/10.1002/cnm.2729
  5. Efficient non-linear analysis and optimal design of biomechanical systems vol.2, pp.4, 2015, https://doi.org/10.12989/bme.2015.2.4.207
  6. Swift Analysis for Size and Geometry Optimization of Structures vol.18, pp.3, 2015, https://doi.org/10.1260/1369-4332.18.3.365
  7. Probabilistic multi-objective optimization of a corrugated-core sandwich structure vol.10, pp.6, 2016, https://doi.org/10.12989/gae.2016.10.6.709
  8. Topology optimization of the photovoltaic panel connector in high-rise buildings vol.62, pp.4, 2013, https://doi.org/10.12989/sem.2017.62.4.465
  9. Multi-objective colliding bodies optimization algorithm for design of trusses vol.6, pp.1, 2013, https://doi.org/10.1016/j.jcde.2018.04.001
  10. Trade-off Pareto optimum design of an innovative curved damper truss moment frame considering structural and non-structural objectives vol.28, pp.None, 2020, https://doi.org/10.1016/j.istruc.2020.09.060