Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33151
DC FieldValueLanguage
dc.contributor.advisorMarkou, George-
dc.contributor.advisorPapadopoulos, Vissarion-
dc.contributor.authorBark, Hussein Ali-
dc.date.accessioned2024-11-06T06:54:57Z-
dc.date.available2024-11-06T06:54:57Z-
dc.date.issued2027-12-01-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/33151-
dc.description.abstractIntegrate a FEA software with a new soil material model and use it to generate a dataset of Soil Structure Interaction results to train Artificial Intelligence algorithms.en_US
dc.language.isoenen_US
dc.rightsAttribution-NoDerivatives 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectSoil Structure Interactionen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectEarthquake engineeringen_US
dc.subjectProgrammingen_US
dc.subjectFinite Element Methoden_US
dc.subjectMaterial Constitutive Modelsen_US
dc.titleDeveloping predictive models for computing the mechanical behaviour of soil structure interaction problems involving sandy materialsen_US
dc.typePhD Thesisen_US
dc.affiliationNational Technical University of Athens, Greeceen_US
dc.relation.deptCivil Engineeringen_US
dc.description.statusCurrenten_US
cut.common.academicyearemptyen_US
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_db06-
item.openairetypedoctoralThesis-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-6891-7064-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Διδακτορικές Διατριβές/ PhD Theses
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