SPT-based liquefaction assessment with a novel ensemble model based on GMDH-type neural network

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dc.contributor.authorKurnaz, Talas Fikret
dc.contributor.authorKaya, Yilmaz
dc.date.accessioned2024-12-24T19:24:57Z
dc.date.available2024-12-24T19:24:57Z
dc.date.issued2019
dc.departmentSiirt Üniversitesi
dc.description.abstractLiquefaction is one of the most complex problems in geotechnical earthquake engineering. This paper proposes a novel ensemble group method of data handling (EGMDH) model based on classification for the prediction of liquefaction potential of soils. The database used in this study consists of 451 standard penetration test (SPT)-based case records from two major earthquakes. The input parameters are selected as SPT blow numbers, percent finest content less than 75 mu m, depth of groundwater table, total and effective overburden stresses, maximum peak ground acceleration, and magnitude of earthquake for the prediction models. The proposed EGMDH model results were also compared with other classifier models, particularly the results of the GMDH model. The results of this study indicated that the proposed EGMDH model has achieved more successful results on predicting the liquefaction potential of soils compared with the other classifier models by improving the prediction performance of GMDH model.
dc.identifier.doi10.1007/s12517-019-4640-5
dc.identifier.issn1866-7511
dc.identifier.issn1866-7538
dc.identifier.issue15
dc.identifier.scopus2-s2.0-85069732782
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1007/s12517-019-4640-5
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6212
dc.identifier.volume12
dc.identifier.wosWOS:000477021700003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofArabian Journal of Geosciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectLiquefaction
dc.subjectPrediction
dc.subjectGroup method of data handling
dc.subjectEnsemble model
dc.titleSPT-based liquefaction assessment with a novel ensemble model based on GMDH-type neural network
dc.typeArticle

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