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    Propagation of Certainty Levels

    Source: Journal of Structural Engineering:;1984:;Volume ( 110 ):;issue: 009
    Author:
    Lowell F. Greimann
    ,
    William J. Knapp
    ,
    Jimmy Y. Yeung
    DOI: 10.1061/(ASCE)0733-9445(1984)110:9(1935)
    Publisher: American Society of Civil Engineers
    Abstract: Uncertainty in basic structural parameters is characterized by objective and subjective information. A method was developed to quantify this uncertainty and propagate its effect through a structural reliability analysis. Certainty levels are established on the resulting failure probabilities. The concept of confidence intervals from classical statistics is extended to include both objective uncertainty, e.g., that due to limited sample size, and subjective uncertainty, e.g., data interpretation and extrapolation. The uncertainty is propagated by separating the objective and subjective information in the basic input random parameters and, also, in the calculated random probabilities. An example truss problem illustrates an application of the method.
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      Propagation of Certainty Levels

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    http://yetl.yabesh.ir/yetl1/handle/yetl/29388
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    contributor authorLowell F. Greimann
    contributor authorWilliam J. Knapp
    contributor authorJimmy Y. Yeung
    date accessioned2017-05-08T20:51:19Z
    date available2017-05-08T20:51:19Z
    date copyrightSeptember 1984
    date issued1984
    identifier other%28asce%290733-9445%281984%29110%3A9%281935%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/29388
    description abstractUncertainty in basic structural parameters is characterized by objective and subjective information. A method was developed to quantify this uncertainty and propagate its effect through a structural reliability analysis. Certainty levels are established on the resulting failure probabilities. The concept of confidence intervals from classical statistics is extended to include both objective uncertainty, e.g., that due to limited sample size, and subjective uncertainty, e.g., data interpretation and extrapolation. The uncertainty is propagated by separating the objective and subjective information in the basic input random parameters and, also, in the calculated random probabilities. An example truss problem illustrates an application of the method.
    publisherAmerican Society of Civil Engineers
    titlePropagation of Certainty Levels
    typeJournal Paper
    journal volume110
    journal issue9
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)0733-9445(1984)110:9(1935)
    treeJournal of Structural Engineering:;1984:;Volume ( 110 ):;issue: 009
    contenttypeFulltext
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