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    Statistical Knockdown Factors of Buckling Anisotropic Cylinders Under Axial Compression

    Source: Journal of Applied Mechanics:;2012:;volume( 079 ):;issue: 005::page 51004
    Author:
    Atsushi Takano
    DOI: 10.1115/1.4006450
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Statistical knockdown factors for the axial buckling of anisotropic cylinders were derived for practical design purposes. The solution with the least amount of simplification in the linear bifurcation theory was chosen from the previously published solutions, and it was compared with more than 100 experimental results from the open literature. A-basis values (99% probability with 95% confidence level) and B-basis values (90% probability with 95% confidence level) of knockdown factors were obtained by using inferential statistics, i.e., inference concerning unknown aspects of a population by using a small sample.
    keyword(s): Stress , Buckling , Cylinders , Shells , Design , Failure , Compression AND Pipes ,
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      Statistical Knockdown Factors of Buckling Anisotropic Cylinders Under Axial Compression

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    https://yetl.yabesh.ir/yetl1/handle/yetl/148032
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    contributor authorAtsushi Takano
    date accessioned2017-05-09T00:47:56Z
    date available2017-05-09T00:47:56Z
    date copyrightSeptember, 2012
    date issued2012
    identifier issn0021-8936
    identifier otherJAMCAV-29007#051004_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148032
    description abstractStatistical knockdown factors for the axial buckling of anisotropic cylinders were derived for practical design purposes. The solution with the least amount of simplification in the linear bifurcation theory was chosen from the previously published solutions, and it was compared with more than 100 experimental results from the open literature. A-basis values (99% probability with 95% confidence level) and B-basis values (90% probability with 95% confidence level) of knockdown factors were obtained by using inferential statistics, i.e., inference concerning unknown aspects of a population by using a small sample.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStatistical Knockdown Factors of Buckling Anisotropic Cylinders Under Axial Compression
    typeJournal Paper
    journal volume79
    journal issue5
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.4006450
    journal fristpage51004
    identifier eissn1528-9036
    keywordsStress
    keywordsBuckling
    keywordsCylinders
    keywordsShells
    keywordsDesign
    keywordsFailure
    keywordsCompression AND Pipes
    treeJournal of Applied Mechanics:;2012:;volume( 079 ):;issue: 005
    contenttypeFulltext
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