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Multiobjective optimization for performance‐based seismic design of steel moment frame structures
Author(s) -
Liu Min,
Burns Scott A.,
Wen Y. K.
Publication year - 2005
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.426
Subject(s) - sizing , structural engineering , frame (networking) , seismic analysis , moment (physics) , engineering , seismic hazard , multi objective optimization , investment (military) , code (set theory) , mathematical optimization , reliability engineering , computer science , civil engineering , mathematics , mechanical engineering , art , physics , set (abstract data type) , classical mechanics , politics , political science , law , visual arts , programming language
Abstract The performance‐based seismic design of steel special moment‐resisting frame (SMRF) structures is formulated as a multiobjective optimization problem, in which conflicting design criteria that respectively reflect the present capital investment and the future seismic risk are treated simultaneously as separate objectives other than stringent constraints. Specifically, the initial construction expenses are accounted for by the steel material weight as well as by the number of different standard steel section types, the latter roughly quantifying the degree of design complexity related additional construction cost; the seismic risk is considered in terms of maximum interstory drift demands at two hazard levels with exceedance probabilities being 50% and 2% in 50 years, respectively. The present formulation allows structural engineers to find an optimized design solution by explicitly striving for a desirable compromise between the initial investment and seismic performance. Member sizing for code‐compliant design of a planar five‐story four‐bay SMRF is presented as an application example using the proposed procedure that is automated by a multiobjective genetic algorithm. Copyright © 2004 John Wiley & Sons, Ltd.