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http://dx.doi.org/10.12989/eas.2022.23.1.035

A multi-objective optimization framework for optimally designing steel moment frame structures under multiple seismic excitations  

Ghasemof, Ali (Department of Civil Engineering, K.N. Toosi University of Technology)
Mirtaheri, Masoud (Department of Civil Engineering, K.N. Toosi University of Technology)
Mohammadi, Reza Karami (Department of Civil Engineering, K.N. Toosi University of Technology)
Salkhordeh, Mojtaba (Department of Civil Engineering, K.N. Toosi University of Technology)
Publication Information
Earthquakes and Structures / v.23, no.1, 2022 , pp. 35-57 More about this Journal
Abstract
This article presents a computationally efficient framework for multi-objective seismic design optimization of steel moment-resisting frame (MRF) structures based on the nonlinear dynamic analysis procedure. This framework employs the uniform damage distribution philosophy to minimize the weight (initial cost) of the structure at different levels of damage. The preliminary framework was recently proposed by the authors based on the single excitation and the nonlinear static (pushover) analysis procedure, in which the effects of record-to-record variability as well as higher-order vibration modes were neglected. The present study investigates the reliability of the previous framework by extending the proposed algorithm using the nonlinear dynamic design procedure (optimization under multiple ground motions). Three benchmark structures, including 4-, 8-, and 12-story steel MRFs, representing the behavior of low-, mid-, and high-rise buildings, are utilized to evaluate the proposed framework. The total weight of the structure and the maximum inter-story drift ratio (IDRmax) resulting from the average response of the structure to a set of seven ground motion records are considered as two conflicting objectives for the optimization problem and are simultaneously minimized. The results of this study indicate that the optimization under several ground motions leads to almost similar outcomes in terms of optimization objectives to those are obtained from optimization under pushover analysis. However, investigation of optimal designs under a suite of 22 earthquake records reveals that the damage distribution in buildings designed by the nonlinear dynamic-based procedure is closer to the uniform distribution (desired target during the optimization process) compared to those designed according to the pushover procedure.
Keywords
multi-objective optimization; nonlinear time history analysis; pushover analysis; steel moment frame buildings; uniform damage distribution; uniform damage optimization;
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