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Geofísica internacional

On-line version ISSN 2954-436XPrint version ISSN 0016-7169

Abstract

GARCIA, Silvia  and  ALCANTARA, Leonardo. Generator of genetic seismic signals. Geofís. Intl [online]. 2019, vol.58, n.3, pp.179-188.  Epub Oct 07, 2020. ISSN 2954-436X.

In this paper, an original approach for assembling time series of accelerations compatible with a prescribed target spectrum is presented. This generator of seismic signals takes into consideration earthquake and soil characteristics for a realistic depiction of ground motions. The proposed methodology uses genetic operators to transform the time series iteratively. Mimicking mating, natural selection, and mutation, the generator of genetic seismic signals, modifies the accelerations components of records considered good parents for producing successful individuals or new optimal signals that best fit the target conditions. The procedure is immediate and consistent with remarkable results in records that match a broad variety of target spectra with minimal deviation while conserving the geotechnical and seismological inherent qualities of the parents (recorded accelerograms).

Keywords : genetic algorithms; evolutionary computing; seismic signals generation; synthetic earthquakes; target spectrum; seismic simulation.

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