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A Machine Learning–Based Predictive Model for Liquefaction Ejecta Manifestation in Stratigraphically Variable Sites

dc.contributor.authorBrito, Lianne
dc.contributor.authorDashti, Shideh
dc.contributor.authorLiel, Abbie B.
dc.contributor.authorWham, Brad P.
dc.date.accessioned2026-08-20T10:56:32Z
dc.date.available2026-08-20T10:56:32Z
dc.date.copyright2025/10/29
dc.date.issued2026
dc.identifier.otherJGGEFK.GTENG-13770.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311473
dc.description.abstractAbstractThis paper presents a machine learning–based probabilistic predictive model for estimating the potential severity of free-field surface ejecta in stratigraphically variable and interbedded deposits as a measure of liquefaction manifestation and ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Machine Learning–Based Predictive Model for Liquefaction Ejecta Manifestation in Stratigraphically Variable Sites
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue1
dc.journal.titleJournal of Geotechnical and Geoenvironmental Engineering
dc.identifier.doi10.1061/JGGEFK.GTENG-13770
dc.journal.fristpage04025167-1
dc.journal.lastpage04025167-17
dc.page17
dc.treeJournal of Geotechnical and Geoenvironmental Engineering:;2026:;Volume ( 152 ):;issue: 001
dc.contenttypeFulltext


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