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http://dx.doi.org/10.12989/eas.2019.16.2.165

Summarized IDA curves by the wavelet transform and bees optimization algorithm  

Shahryari, Homayoon (Department of Civil Engineering, K.N. Toosi University of Technology)
Karami, M. Reza (Department of Civil Engineering, K.N. Toosi University of Technology)
Chiniforush, Alireza A. (Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, University of New South Wales)
Publication Information
Earthquakes and Structures / v.16, no.2, 2019 , pp. 165-175 More about this Journal
Abstract
Incremental dynamic analysis (IDA), as an accurate method to evaluate the parameters of structural performance levels, requires many non-linear time history analyses, using a set of ground motion records which are scaled to different intensity levels. Therefore, this method is very computationally demanding. In this study, a new method is presented to estimate the summarized (16%, 50%, and 84% fractiles) IDA curves of a first-mode dominated structure using discrete wavelet transform and bees optimization algorithm. This method reduces the number of required ground motion records for the prediction of the summarized IDA curves. At first, a subset of first list ground motion records is decomposed by means of discrete wavelet transform which have a low dispersion estimating the summarized IDA curves of equivalent SDOF system of the main structure. Then, the bees algorithm optimizes a series of factors for each level of detail coefficients in discrete wavelet transform. The applied factors change the frequency content of original ground motion records which the generated ground motions records can be utilized to reliably estimate the summarized IDA curves of the main structure. At the end, to evaluate the efficiency of the proposed method, the seismic behavior of a typical 3-story special steel moment frame, subjected to a set of twenty ground motion records is compared with this method.
Keywords
discrete wavelet transform; summarized IDA curves; frequency content; performance-based earthquake engineering; bees optimization algorithm;
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