@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-00834845v1> a dcat:Dataset ;
    dct:description """
              The main objective of this thesis is to accelerate deflated Conjugate Gradient solvers used for solving the pressure Poisson equation, for the simulation of low-Mach number flows on unstructured meshes. A restart method based on an estimation of the effect of numerical errors has been implemented and validated. Then, a three-level deflation method has been created, and two techniques are developed in order to reduce the number of iterations on the coarse levels : one of them is the creation of initial guesses thanks to a well-suited projection method, the other one consists in adapting the convergence criterion on the coarse grids. Numerical results on massively parallel simulations show, among others, a drastic reduction of the computational times of the solver. Other lines of research are introduced, especially regarding dynamic load balancing.
            """ ;
    dct:identifier "NNT: 2013ISAM0006" ;
    dct:issued "2026-05-10T16:54:32.269857"^^xsd:dateTime ;
    dct:language "fr" ;
    dct:modified "2026-05-10T16:54:32.269861"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Massively parallel simulation of low-Mach number turbulent flow" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00834845v1/resource/7784a4a3-6bec-4e41-ad90-5a95456a7df9> ;
    dcat:keyword "analyse-numerique",
        "conjugate-gradient",
        "deflation-method",
        "digital-fluid-mechanics",
        "gradients-conjugues",
        "infoeu-reposemanticsdoctoralthesis",
        "low-mach-number",
        "mecanique-des-fluides-numeriques",
        "methode-de-deflation",
        "methodes-multiniveaux",
        "physcondcm-genphysics-physicscondensed-matter-cond-matother-cond-matother",
        "theses",
        "turbulents-flows" ;
    dcat:landingPage <https://theses.hal.science/tel-00834845> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00834845v1/resource/7784a4a3-6bec-4e41-ad90-5a95456a7df9> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-10T16:54:32.272226"^^xsd:dateTime ;
    dct:modified "2026-05-10T16:54:32.252548"^^xsd:dateTime ;
    dct:title "Massively parallel simulation of low-Mach number turbulent flow" ;
    dcat:accessURL <https://theses.hal.science/tel-00834845> .

<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-00834845> a foaf:Document .

