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http://dx.doi.org/10.12989/sem.2013.45.2.211

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)
Publication Information
Structural Engineering and Mechanics / v.45, no.2, 2013 , pp. 211-232 More about this Journal
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
seismic design; multi-objective optimization; eccentric braced frame (EBF); moment resisting frame; neural networks; damage index; construction cost;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Adeli, H, Cheng, N.T. (1993), "Integrated genetic algorithm for optimization of space structures", J Aerospace Eng, ASCE, 6(4), 315-328.   DOI
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.   DOI   ScienceOn
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.   DOI   ScienceOn
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.   DOI
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.   DOI   ScienceOn
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.   DOI   ScienceOn
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.   DOI
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.   DOI   ScienceOn
15 Huang, M.W. and Arora, J.S. (1997), "Optimal design of steel structures using standard sections", Struct. Multidiscip Opt., 14, 24-35.   DOI   ScienceOn
16 aveh, A. and Talatahari, S. (2010), "Optimum design of skeletal structures using imperialist competitive algorithm", Comput. Struct., 88(21-22), 1220-1229.   DOI   ScienceOn
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.   DOI   ScienceOn
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.   DOI
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.   DOI
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.   DOI   ScienceOn
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.   DOI   ScienceOn
23 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.   DOI   ScienceOn
24 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.
25 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.   DOI   ScienceOn
26 Malhotra, P.K. (1999), "Response of building to near-field pulse like ground motion", Earthq. Eng. Struct. Dyn., 28, 1309-1326.   DOI   ScienceOn
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.   DOI   ScienceOn