An Improved Method for Seismic Site Characterization with Emphasis on Liquefaction Phenomena

ISSN Print: 2169-9623
ISSN Online: 2169-9631
www.scirp.org/journal/ojer
E-mail: ojer@scirp.org

"An Improved Method for Seismic Site Characterization with Emphasis on Liquefaction Phenomena"
written by Abbas Abbaszadeh Shahri, Roshanak Rajablou, Abdolvahed Ghaderi,
published by Open Journal of Earthquake Research, Vol.1 No.2, 2012

has been cited by the following article(s):

[1]	Assessment of earthquake-induced liquefaction susceptibility using ensemble learning
	Multiscale and Multidisciplinary …, 2023

[2]	Analysis of Potential Liquifaction Risk Using the Simple Procedure Method Based on Standard Penetration Test (SPT) Data
	Proceedings of …, 2023

[3]	Liquefaction potential analysis using hybrid multi-objective intelligence model
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[4]	Geological-Geotechnical Database from Standard Penetration Test Investigations Using Geographic Information Systems
	Management of Information Systems, 2018

[5]	Aplicação de ferramenta SIG para mapeamento geotécnico e cartas de aptidão para fundação a partir de ensaios SPT: um estudo de caso em Blumenau/SC
	2016

[6]	Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study
	Geotechnical and Geological Engineering, 2016

[7]	APLICAÇÃO DE FERRAMENTA SIG PARA MAPEAMENTO GEOTÉCNICO E CARTAS DE APTIDÃO PARA FUNDAÇÃO A PARTIR DE ENSAIOS SPT: UM ESTUDO …
	2016

[1]	Assessment of earthquake-induced liquefaction susceptibility using ensemble learning Multiscale and Multidisciplinary Modeling, Experiments and Design, 2023 DOI:10.1007/s41939-023-00146-z

[2]	Assessment of earthquake-induced liquefaction susceptibility using ensemble learning Multiscale and Multidisciplinary Modeling, Experiments and Design, 2023 DOI:10.1007/s41939-023-00146-z

[3]	Liquefaction potential analysis using hybrid multi-objective intelligence model Environmental Earth Sciences, 2020 DOI:10.1007/s12665-020-09173-2

[4]	Management of Information Systems 2018 DOI:10.5772/intechopen.74208

[5]	Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study Geotechnical and Geological Engineering, 2016 DOI:10.1007/s10706-016-0004-z