Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming

The earthquake is one of the natural hazards that have caused many casualties and financial losses throughout the world over the years. This has been the reason why the earthquake hazard analysis studies should be studied more seriously. Iran is also located in one of the seismically active regions...

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Autores principales: Ali Tavassolian, Mohammad Shamekhi Amiri, Attieh Eshaghi
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Publicado: Iranian Society of Structrual Engineering (ISSE) 2021
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spelling oai:doaj.org-article:cfb6b62138c8405cb3cd6e02425457b12021-11-08T15:54:32ZAttenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming2476-39772538-261610.22065/jsce.2019.156437.1719https://doaj.org/article/cfb6b62138c8405cb3cd6e02425457b12021-04-01T00:00:00Zhttps://www.jsce.ir/article_86779_08e58b1aa2feefc468a00eead624523d.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616The earthquake is one of the natural hazards that have caused many casualties and financial losses throughout the world over the years. This has been the reason why the earthquake hazard analysis studies should be studied more seriously. Iran is also located in one of the seismically active regions of the world, the Himalayan- Alpine belt, which experiences many earthquakes every year. The Arias intensity function, as one of the important earthquake strong motion parameters, contributes greatly to the analysis of seismic hazard, which can be used to estimate the stability of slopes during the earthquake. The purpose of this research is to develop a new attenuation relationship for Arias intensity function in the Iranian plateau using intelligent methods. In this research, 1012 strong motion data were used. Initially, the data required to be filtered were corrected and then all data was analyzed. In this study, parameters such as magnitude of earthquake, focal depth, shear wave velocity and geographic position of the region were used as a variable for the attenuation relationship. Moment magnitude (Mw) was used as earthquake magnitude and earthquakes with magnitudes of above 4 were used in this research. The geographic location of Iran was divided into two regions of Central Alborz and the Zagros region. Gene Expression Programming (GEP), a kind of intelligent algorithm, was used as a method for regression and calculation of the objective function. The advantage of this method is that at first the model for the objective function is not specified and the model is presented optimally by the intelligent method. The fitness function is also defined based on the root least squared error (RMSE). Finally, the attenuation relation based on this fitness function was calculated and the observed results have a high fitness.Ali TavassolianMohammad Shamekhi AmiriAttieh EshaghiIranian Society of Structrual Engineering (ISSE)articleattenuation relationshiparias intensitygepzagrosalborz-central iranBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 8, Iss 2, Pp 5-24 (2021)
institution DOAJ
collection DOAJ
language FA
topic attenuation relationship
arias intensity
gep
zagros
alborz-central iran
Bridge engineering
TG1-470
Building construction
TH1-9745
spellingShingle attenuation relationship
arias intensity
gep
zagros
alborz-central iran
Bridge engineering
TG1-470
Building construction
TH1-9745
Ali Tavassolian
Mohammad Shamekhi Amiri
Attieh Eshaghi
Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming
description The earthquake is one of the natural hazards that have caused many casualties and financial losses throughout the world over the years. This has been the reason why the earthquake hazard analysis studies should be studied more seriously. Iran is also located in one of the seismically active regions of the world, the Himalayan- Alpine belt, which experiences many earthquakes every year. The Arias intensity function, as one of the important earthquake strong motion parameters, contributes greatly to the analysis of seismic hazard, which can be used to estimate the stability of slopes during the earthquake. The purpose of this research is to develop a new attenuation relationship for Arias intensity function in the Iranian plateau using intelligent methods. In this research, 1012 strong motion data were used. Initially, the data required to be filtered were corrected and then all data was analyzed. In this study, parameters such as magnitude of earthquake, focal depth, shear wave velocity and geographic position of the region were used as a variable for the attenuation relationship. Moment magnitude (Mw) was used as earthquake magnitude and earthquakes with magnitudes of above 4 were used in this research. The geographic location of Iran was divided into two regions of Central Alborz and the Zagros region. Gene Expression Programming (GEP), a kind of intelligent algorithm, was used as a method for regression and calculation of the objective function. The advantage of this method is that at first the model for the objective function is not specified and the model is presented optimally by the intelligent method. The fitness function is also defined based on the root least squared error (RMSE). Finally, the attenuation relation based on this fitness function was calculated and the observed results have a high fitness.
format article
author Ali Tavassolian
Mohammad Shamekhi Amiri
Attieh Eshaghi
author_facet Ali Tavassolian
Mohammad Shamekhi Amiri
Attieh Eshaghi
author_sort Ali Tavassolian
title Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming
title_short Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming
title_full Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming
title_fullStr Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming
title_full_unstemmed Attenuation relationships of Arias intensity for Iranian plateau using intelligent Gene Expression Programming
title_sort attenuation relationships of arias intensity for iranian plateau using intelligent gene expression programming
publisher Iranian Society of Structrual Engineering (ISSE)
publishDate 2021
url https://doaj.org/article/cfb6b62138c8405cb3cd6e02425457b1
work_keys_str_mv AT alitavassolian attenuationrelationshipsofariasintensityforiranianplateauusingintelligentgeneexpressionprogramming
AT mohammadshamekhiamiri attenuationrelationshipsofariasintensityforiranianplateauusingintelligentgeneexpressionprogramming
AT attieheshaghi attenuationrelationshipsofariasintensityforiranianplateauusingintelligentgeneexpressionprogramming
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