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    A Vine Copula Based Reliability Analysis Method for Structures With Multidimensional Correlation

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 006::page 61405
    Author:
    Jiang, C.
    ,
    Zhang, W.
    ,
    Han, X.
    ,
    Ni, B. Y.
    ,
    Song, L. J.
    DOI: 10.1115/1.4030179
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposed a vinecopulabased structural reliability analysis method which is an effective approach for performing a reliability analysis on complex multidimensional correlation problems. A joint probability distribution function (PDF) among multidimensional random variables was established using a vine copula function, based on which a reliability analysis model was constructed. Two solution algorithms were proposed to solve this reliability analysis model: one was based on Monte Carlo simulation (MCS) and another one was based on the firstorder reliability method (FORM). The former method provides a generalized computational method for a reliability analysis based on vine copula functions and can provide socalled “precise solutionsâ€‌; the latter method has high computational efficiency and can be used to solve actual complex engineering problems. Finally, three numerical examples were provided to verify the effectiveness of the method.
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      A Vine Copula Based Reliability Analysis Method for Structures With Multidimensional Correlation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/158836
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    • Journal of Mechanical Design

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    contributor authorJiang, C.
    contributor authorZhang, W.
    contributor authorHan, X.
    contributor authorNi, B. Y.
    contributor authorSong, L. J.
    date accessioned2017-05-09T01:20:56Z
    date available2017-05-09T01:20:56Z
    date issued2015
    identifier issn1050-0472
    identifier othermd_137_06_061405.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/158836
    description abstractThis paper proposed a vinecopulabased structural reliability analysis method which is an effective approach for performing a reliability analysis on complex multidimensional correlation problems. A joint probability distribution function (PDF) among multidimensional random variables was established using a vine copula function, based on which a reliability analysis model was constructed. Two solution algorithms were proposed to solve this reliability analysis model: one was based on Monte Carlo simulation (MCS) and another one was based on the firstorder reliability method (FORM). The former method provides a generalized computational method for a reliability analysis based on vine copula functions and can provide socalled “precise solutionsâ€‌; the latter method has high computational efficiency and can be used to solve actual complex engineering problems. Finally, three numerical examples were provided to verify the effectiveness of the method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Vine Copula Based Reliability Analysis Method for Structures With Multidimensional Correlation
    typeJournal Paper
    journal volume137
    journal issue6
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4030179
    journal fristpage61405
    journal lastpage61405
    identifier eissn1528-9001
    treeJournal of Mechanical Design:;2015:;volume( 137 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian