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    A General Statistical Model for Random Fatigue

    Source: Journal of Engineering Materials and Technology:;1974:;volume( 096 ):;issue: 001::page 34
    Author:
    P. H. Wirsching
    ,
    E. B. Haugen
    DOI: 10.1115/1.3443182
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A general statistical model for fatigue under stationary random gaussian stress is presented. This phenomenological model requires only a limited amount of data from fatigue tests in which specimens are subjected to stationary narrow band, gaussian stresses. A theoretical extension is made to predict fatigue under wide band stresses and arbitrary mean values. Statistical variability in material strength is included in the model. Moreover, the model has the property of adaptability in that it is easily modified to reflect new data as it becomes available. Furthermore, it is easily incorporated into probabilistic design procedures where reliability requirements are specified.
    keyword(s): Fatigue , Stress , Design , Fatigue testing , Reliability AND Strength (Materials) ,
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    • Statistics

      A General Statistical Model for Random Fatigue

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/164835
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    contributor authorP. H. Wirsching
    contributor authorE. B. Haugen
    date accessioned2017-05-09T01:38:14Z
    date available2017-05-09T01:38:14Z
    date copyrightJanuary, 1974
    date issued1974
    identifier issn0094-4289
    identifier otherJEMTA8-26835#34_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/164835
    description abstractA general statistical model for fatigue under stationary random gaussian stress is presented. This phenomenological model requires only a limited amount of data from fatigue tests in which specimens are subjected to stationary narrow band, gaussian stresses. A theoretical extension is made to predict fatigue under wide band stresses and arbitrary mean values. Statistical variability in material strength is included in the model. Moreover, the model has the property of adaptability in that it is easily modified to reflect new data as it becomes available. Furthermore, it is easily incorporated into probabilistic design procedures where reliability requirements are specified.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA General Statistical Model for Random Fatigue
    typeJournal Paper
    journal volume96
    journal issue1
    journal titleJournal of Engineering Materials and Technology
    identifier doi10.1115/1.3443182
    journal fristpage34
    journal lastpage40
    identifier eissn1528-8889
    keywordsFatigue
    keywordsStress
    keywordsDesign
    keywordsFatigue testing
    keywordsReliability AND Strength (Materials)
    treeJournal of Engineering Materials and Technology:;1974:;volume( 096 ):;issue: 001
    contenttypeFulltext
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