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    Statistical Modeling of Creep Rupture Data

    Source: Journal of Engineering Materials and Technology:;1999:;volume( 121 ):;issue: 003::page 264
    Author:
    R. B. Davies
    ,
    R. Hales
    ,
    J. C. Harman
    ,
    S. R. Holdsworth
    DOI: 10.1115/1.2812374
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A flexible statistical modeling framework for the analysis of creep rupture data is proposed, which offers an improvement on traditional methods of deriving creep rupture strength values and confidence limits. The paper reviews a family of models that can be used to represent the trend relationship between failure times about the trend line, and examines the reliability of extrapolations. Areas of statistical research which would lead to model improvement are discussed, such as variance heterogeneity, left censoring and allowance for the cluster (cast) structure of the data.
    keyword(s): Creep , Modeling , Rupture , Failure , Reliability AND Clearances (Engineering) ,
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      Statistical Modeling of Creep Rupture Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/122216
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    contributor authorR. B. Davies
    contributor authorR. Hales
    contributor authorJ. C. Harman
    contributor authorS. R. Holdsworth
    date accessioned2017-05-08T23:59:46Z
    date available2017-05-08T23:59:46Z
    date copyrightJuly, 1999
    date issued1999
    identifier issn0094-4289
    identifier otherJEMTA8-26999#264_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/122216
    description abstractA flexible statistical modeling framework for the analysis of creep rupture data is proposed, which offers an improvement on traditional methods of deriving creep rupture strength values and confidence limits. The paper reviews a family of models that can be used to represent the trend relationship between failure times about the trend line, and examines the reliability of extrapolations. Areas of statistical research which would lead to model improvement are discussed, such as variance heterogeneity, left censoring and allowance for the cluster (cast) structure of the data.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStatistical Modeling of Creep Rupture Data
    typeJournal Paper
    journal volume121
    journal issue3
    journal titleJournal of Engineering Materials and Technology
    identifier doi10.1115/1.2812374
    journal fristpage264
    journal lastpage271
    identifier eissn1528-8889
    keywordsCreep
    keywordsModeling
    keywordsRupture
    keywordsFailure
    keywordsReliability AND Clearances (Engineering)
    treeJournal of Engineering Materials and Technology:;1999:;volume( 121 ):;issue: 003
    contenttypeFulltext
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