Characterization of ground motions using recurrence plots

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.

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Main Authors: García,Silvia R., Romo,Miguel P., Figueroa-Nazuno,Jesús
Format: Digital revista
Language:English
Published: Universidad Nacional Autónoma de México, Instituto de Geofísica 2013
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0016-71692013000300002
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spelling oai:scielo:S0016-716920130003000022014-02-24Characterization of ground motions using recurrence plotsGarcía,Silvia R.Romo,Miguel P.Figueroa-Nazuno,Jesús recurrence plots seismic time series nonlinear analysis chaos strong ground motions soil natural periods soil vibrations 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.info:eu-repo/semantics/openAccessUniversidad Nacional Autónoma de México, Instituto de GeofísicaGeofísica internacional v.52 n.3 20132013-09-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0016-71692013000300002en
institution SCIELO
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country México
countrycode MX
component Revista
access En linea
databasecode rev-scielo-mx
tag revista
region America del Norte
libraryname SciELO
language English
format Digital
author García,Silvia R.
Romo,Miguel P.
Figueroa-Nazuno,Jesús
spellingShingle García,Silvia R.
Romo,Miguel P.
Figueroa-Nazuno,Jesús
Characterization of ground motions using recurrence plots
author_facet García,Silvia R.
Romo,Miguel P.
Figueroa-Nazuno,Jesús
author_sort García,Silvia R.
title Characterization of ground motions using recurrence plots
title_short Characterization of ground motions using recurrence plots
title_full Characterization of ground motions using recurrence plots
title_fullStr Characterization of ground motions using recurrence plots
title_full_unstemmed Characterization of ground motions using recurrence plots
title_sort characterization of ground motions using recurrence plots
description 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.
publisher Universidad Nacional Autónoma de México, Instituto de Geofísica
publishDate 2013
url http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0016-71692013000300002
work_keys_str_mv AT garciasilviar characterizationofgroundmotionsusingrecurrenceplots
AT romomiguelp characterizationofgroundmotionsusingrecurrenceplots
AT figueroanazunojesus characterizationofgroundmotionsusingrecurrenceplots
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