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    Stochastic Buckling of Geometrically Imperfect Beams on Elastic Foundation

    Source: Journal of Applied Mechanics:;2022:;volume( 090 ):;issue: 001::page 11003
    Author:
    Baizhikova, Zheren;Le, JiaLiang;Ballarini, Roberto
    DOI: 10.1115/1.4055811
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Geometrical imperfections are ubiquitous in loadbearing structures, including beams, columns, and shells. Fabrication processes of structural members most often create geometrical imperfections of random size and shape, which lead to nondeterministic loadcarrying capacity. This study investigates the statistics of the buckling load of a beam with a random initial imperfection profile that rests on a nonlinear elastic foundation. The geometrical imperfection is represented by a zeromean Gaussian random field, generated using the Karhunen–Loève expansion. The spatial distribution of the random imperfection is characterized by the probability distribution of the local imperfection magnitude and a spatial autocorrelation function. A finitedifference scheme is used to solve the governing equilibrium equation for a given initial imperfection profile, from which the buckling load is determined. Through a set of Monte Carlo simulations, the mean and variance of the buckling load are determined. The simulations reveal the influence of different length scales on the statistics of the buckling load, including the beam length and the autocorrelation length of the geometrical imperfection. The size effects predicted with the simplified model have implications for reliabilitybased structural design.
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      Stochastic Buckling of Geometrically Imperfect Beams on Elastic Foundation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4288629
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    contributor authorBaizhikova, Zheren;Le, JiaLiang;Ballarini, Roberto
    date accessioned2023-04-06T12:51:11Z
    date available2023-04-06T12:51:11Z
    date copyright10/13/2022 12:00:00 AM
    date issued2022
    identifier issn218936
    identifier otherjam_90_1_011003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288629
    description abstractGeometrical imperfections are ubiquitous in loadbearing structures, including beams, columns, and shells. Fabrication processes of structural members most often create geometrical imperfections of random size and shape, which lead to nondeterministic loadcarrying capacity. This study investigates the statistics of the buckling load of a beam with a random initial imperfection profile that rests on a nonlinear elastic foundation. The geometrical imperfection is represented by a zeromean Gaussian random field, generated using the Karhunen–Loève expansion. The spatial distribution of the random imperfection is characterized by the probability distribution of the local imperfection magnitude and a spatial autocorrelation function. A finitedifference scheme is used to solve the governing equilibrium equation for a given initial imperfection profile, from which the buckling load is determined. Through a set of Monte Carlo simulations, the mean and variance of the buckling load are determined. The simulations reveal the influence of different length scales on the statistics of the buckling load, including the beam length and the autocorrelation length of the geometrical imperfection. The size effects predicted with the simplified model have implications for reliabilitybased structural design.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStochastic Buckling of Geometrically Imperfect Beams on Elastic Foundation
    typeJournal Paper
    journal volume90
    journal issue1
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.4055811
    journal fristpage11003
    journal lastpage110036
    page6
    treeJournal of Applied Mechanics:;2022:;volume( 090 ):;issue: 001
    contenttypeFulltext
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