SciELO - Scientific Electronic Library Online

 
vol.52 número3Crustal structure and tectonic setting of the south central Andes from gravimetric analysisGeostatistical modeling of clay spatial distribution in siliciclastic rock samples using the plurigaussian simulation method índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Geofísica internacional

versão On-line ISSN 2954-436Xversão impressa ISSN 0016-7169

Resumo

GARCIA, Silvia R.; ROMO, Miguel P.  e  FIGUEROA-NAZUNO, Jesús. Characterization of ground motions using recurrence plots. Geofís. Intl [online]. 2013, vol.52, n.3, pp.209-227. ISSN 2954-436X.

The current analysis of earthquakes is typically based on linear mathematical models that may fail to describe and forecast particular behaviors, because in many cases the data complexity may induce a highly non linear behavior. In this paper the implementation of an alternative method for seismic time series analysis is presented. The RPs (Recurrence Plots) enables recognition and treatment of measured accelerations. An RP obtained from seismic data allows a more efficient interpretation of the ground motions and this explanation contributes to characterize materials and responses. The nonlinear attributes from RPs analysis can be used as filters to reveal patterns or be combined to predict a seismic property. Automated seismic data characterization, based on nonlinear seismic attributes, could rewrite the rules of earthquake phenomena interpretation. The objective of this work is to establish a new methodology for practical application of nonlinear dynamics in seismic pattern/attributes recognition, an evolving and challenging engineering field.

Palavras-chave : recurrence plots; seismic time series; nonlinear analysis chaos; strong ground motions; soil natural periods; soil vibrations.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons