dc.contributor.author | Krogstad, A. | |
dc.contributor.author | Depina, Ivan | |
dc.contributor.author | Omre, Henning | |
dc.date.accessioned | 2019-01-05T12:51:36Z | |
dc.date.available | 2019-01-05T12:51:36Z | |
dc.date.created | 2019-01-04T09:11:11Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | http://hdl.handle.net/11250/2579326 | |
dc.description.abstract | This study examines the application of the Hidden Markov model (HMM) to the soil classification based on Cone Penetration Test (CPT) measurements. The HMM is formulated in the Bayesian framework and composed of a Markov chain prior and a Gaussian likelihood model. The application of the Bayesian framework is considered as suitable because it allows for the integration of different sources of information commonly available in a CPT-based soil classification. The occurrence of different soil classes along a CPT profile is modeled with the Markov chain, while the Gaussian likelihood model establishes a relation between the different soil classes and CPT measurements. Preliminary performance of the HMM is examined on the classification of CPT measurements from the Sheringham Shoal Offshore Wind Farm. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | IOP | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Cone penetration data classification by Bayesian inversion with a Hidden Markov model | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.volume | 1104 | nb_NO |
dc.source.journal | Journal of Physics, Conference Series | nb_NO |
dc.identifier.doi | 10.1088/1742-6596/1104/1/012015 | |
dc.identifier.cristin | 1650091 | |
dc.description.localcode | Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd | nb_NO |
cristin.unitcode | 194,0,0,0 | |
cristin.unitcode | 194,63,15,0 | |
cristin.unitname | Norges teknisk-naturvitenskapelige universitet | |
cristin.unitname | Institutt for matematiske fag | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |