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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/A82474BC-856E-45FD-8ACA-2EDEBD214C59 | ||
| Year | 2015 | ||
| Type of Item | Conference Poster | ||
| License |
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| Bibliographic Citation | E. 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.pdf | ||
| Appears in Collections |
A 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.
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