@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00080473v1> a dcat:Dataset ;
    dct:description """
              This study is an original way to use the proper orthogonal decompostion (POD) in order to establish a low order model of the determinist and random part of a turbulent flow for which the large scale instationnarity is pseudo periodic.<br />An experimental study of the wake behind a semi circular rod by 2 time Particule Image Velocimetry (PIV2T) provides a statistical overview of the wake.<br />POD analysis of the velocity field allows to characterize the spatial mode and the phase parameter describing the large scale instationnarity which governs the deterministic part.<br />The modeling of the temporal evolution of the coefficients associated with the modes is carried out by either harmonics for the deterministic part, or stochastic functions for the random part.<br />Modeling is in agreement with experimental measurements of the first statistical moments in one point and for the space and time correlation functions of the velocity field.
            """ ;
    dct:identifier "tel-00080473" ;
    dct:issued "2026-05-12T04:01:57.880808"^^xsd:dateTime ;
    dct:language "fr" ;
    dct:modified "2026-05-12T04:01:57.880813"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Combining dual-time particle image velocimetry and proper orthogonal decomposition for flow characterization" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00080473v1/resource/e04631a7-6d0a-4f33-aba7-d2cdef725c03> ;
    dcat:keyword "correlation-spatio-temporelles",
        "cylindre-semi-circullaire",
        "ecoulement-instationnaire",
        "infoeu-reposemanticsdoctoralthesis",
        "modele-de-bas-ordre",
        "modele-de-transport-de-particules-fluides",
        "modele-stochastique",
        "moyenne-de-phase",
        "physphysphys-flu-dynphysics-physicsphysics-physicsfluid-dynamics-physicsflu-dyn",
        "piv-deux-temps",
        "pod",
        "theses" ;
    dcat:landingPage <https://theses.hal.science/tel-00080473> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00080473v1/resource/e04631a7-6d0a-4f33-aba7-d2cdef725c03> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-12T04:01:58.003308"^^xsd:dateTime ;
    dct:modified "2026-05-12T04:01:57.859886"^^xsd:dateTime ;
    dct:title "Combining dual-time particle image velocimetry and proper orthogonal decomposition for flow characterization" ;
    dcat:accessURL <https://theses.hal.science/tel-00080473> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://theses.hal.science/tel-00080473> a foaf:Document .