A New Spectral Shape-Based Record Selection Approach UsingNpand Genetic Algorithms

Abstract

With the aim to improve code-based real records selection criteria, an approach inspired in a parameter proxy of spectral shape, namedNp, is analyzed. The procedure is based on several objectives aimed to minimize the record-to-record variability of the ground motions selected for seismic structural assessment. In order to select the best ground motion set of records to be used as an input for nonlinear dynamic analysis, an optimization approach is applied using genetic algorithms focuse on finding the set of records more compatible with a target spectrum and targetNpvalues. The results of the newNp-based approach suggest that the real accelerograms obtained with this procedure, reduce the scatter of the response spectra as compared with the traditional approach; furthermore, the mean spectrum of the set of records is very similar to the target seismic design spectrum in the range of interest periods, and at the same time, similarNpvalues are obtained for the selected records and the target spectrum.