dc.contributor.author | Krogstad, A. | |
dc.contributor.author | Depina, Ivan | |
dc.contributor.author | Omre, Henning | |
dc.date.accessioned | 2019-01-07T10:27:11Z | |
dc.date.available | 2019-01-07T10:27:11Z | |
dc.date.created | 2019-01-04T09:11:11Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | http://hdl.handle.net/11250/2579431 | |
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 Publishing Ltd. | nb_NO |
dc.relation.ispartof | EERA DeepWind 2018 | |
dc.relation.ispartof | 15th Deep Sea Offshore Wind R&D Conference | |
dc.rights | CC BY 3.0 | * |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/o | * |
dc.subject | Hidden Markov models | nb_NO |
dc.subject | Offshore oil well production | nb_NO |
dc.subject | Soil surveys | nb_NO |
dc.subject | Soil | nb_NO |
dc.subject | Bayesian frameworks | nb_NO |
dc.subject | Cone penetration | nb_NO |
dc.subject | Bayesian inversion | nb_NO |
dc.subject | Offshore wind farms | nb_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.rights.holder | © The authors | nb_NO |
dc.subject.nsi | VDP::Teknologi: 500 | nb_NO |
dc.source.volume | 1104 | nb_NO |
dc.source.journal | Journal of Physics, Conference Series | nb_NO |
dc.source.issue | 012015 | nb_NO |
dc.identifier.doi | 10.1088/1742-6596/1104/1/012015 | |
dc.identifier.cristin | 1650091 | |
cristin.unitcode | 7401,30,30,0 | |
cristin.unitname | Infrastruktur | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |