The statistical model of 3-parameter Weibull distribution that has been applied for the industrial sloshing model tests is studied and verified. An experimental database of the 6-DoF irregular sloshing model tests in Seoul National University has been mined for the verification. In the present study, more than 12,500 h of sloshing model tests have been considered. The considered model tests have been carried out for various floating units supported by Korean shipbuilding industries. Many different environmental conditions, cargo hold geometries, and operational conditions have been considered. Membrane type cargo holds have been the most tested, and the database regarding all the tests has been created to provide useful information about the statistical model. First, the shapes of the statistical model that can be obtained from the industrial sloshing model tests are presented, Second, goodness-of-fitness of the statistical model is examined for the tail parts of the estimation as well as the overall samples. Last, how the statistical model is conservative is investigated.


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    Titel :

    Data Mining in Sloshing Model Test Database for Design of LNG Floating Units


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Okada, Tetsuo (Herausgeber:in) / Suzuki, Katsuyuki (Herausgeber:in) / Kawamura, Yasumi (Herausgeber:in) / Ahn, Yangjun (Autor:in) / Lee, Jeoungkyu (Autor:in) / Kim, Jieung (Autor:in) / Kim, Yonghwan (Autor:in)

    Kongress:

    Practical Design of Ships and Other Floating Structures ; 2019 ; Yokohama, Japan September 22, 2019 - September 26, 2019



    Erscheinungsdatum :

    2020-10-06


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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