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Semi supervised identification of numerically simulated pile defects using graph label prppagation

Eftychios Protopapadakis, Stavroulakis Georgios, Marco Schauer, Anastasios Doulamis, Jens Böhrnsen, Sabine Langer

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URIhttp://purl.tuc.gr/dl/dias/A82474BC-856E-45FD-8ACA-2EDEBD214C59-
Identifierhttp://8gracm.mie.uth.gr/Papers/Session%20D3-C1/E.%20Protopapadakis.pdf-
Languageen-
Extent9 pagesen
TitleSemi supervised identification of numerically simulated pile defects using graph label prppagation en
CreatorEftychios Protopapadakisen
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
CreatorMarco Schaueren
CreatorAnastasios Doulamisen
CreatorJens Böhrnsenen
CreatorSabine Langeren
Content SummaryA graph-based detector is utilized for the identification of structural defects in piles. The approach utilize semi supervised learning assumptions, which allow the exploitation of the unlabeled data to produce accurate defect identifications. A coupled finite element and scaled boundary finite element method approach is used to simulate the pile and its surrounding soil. The proposed defect detection system provides information about the type and the placement of the defect(s), given the surface's oscillation patterns.en
Type of ItemΑφίσα σε Συνέδριοel
Type of ItemConference Posteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-13-
Date of Publication2015-
Bibliographic CitationE. Protopapadakis, M. Schauer, A. Doulamis, G. Stavroulakis, J. Böhrnsen, S.Langer,.(2015,Jul.).Semi supervised identification of numerically simulated pile defects using graph label prppagation .Presented at 8th GRACM International Congress on Computational Mechanics.[online]. Available:http://8gracm.mie.uth.gr/Papers/Session%20D3-C1/E.%20Protopapadakis.pdfen

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