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http://dx.doi.org/10.12989/sem.2016.60.5.761

On the progressive collapse resistant optimal seismic design of steel frames  

Hadidi, Ali (Department of Civil Engineering, University of Tabriz)
Jasour, Ramin (Department of Civil Engineering, University of Tabriz)
Rafiee, Amin (Department of Civil Engineering, University of Tabriz)
Publication Information
Structural Engineering and Mechanics / v.60, no.5, 2016 , pp. 761-779 More about this Journal
Abstract
Design of safe structures with resistance to progressive collapse is of paramount importance in structural engineering. In this paper, an efficient optimization technique is used for optimal design of steel moment frames subjected to progressive collapse. Seismic design specifications of AISC-LRFD code together with progressive collapse provisions of UFC are considered as the optimization constraints. Linear static, nonlinear static and nonlinear dynamic analysis procedures of alternate path method of UFC are considered in design process. Three design examples are solved and the results are discussed. Results show that frames, which are designed solely considering the AISC-LRFD limitations, cannot resist progressive collapse, in terms of UFC requirements. Moreover, although the linear static analysis procedure needs the least computational cost with compared to the other two procedures, is the most conservative one and results in heaviest frame designs against progressive collapse. By comparing the results of this work with those reported in literature, it is also shown that the optimization technique used in this paper significantly reduces the required computational effort for design. In addition, the effect of the use of connections with high plastic rotational capacity is investigated, whose results show that lighter designs with resistance to progressive collapse can be obtained by using Side Plate connections in steel frames.
Keywords
progressive collapse; optimal structural design; steel frame; alternate path method;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
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