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    Confidence Intervals for Richardson Extrapolation in Solid Mechanics

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2022:;volume( 007 ):;issue: 003::page 31005
    Author:
    Krysl, Petr
    DOI: 10.1115/1.4055728
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A simple procedure for estimating the uncertainty of estimates of true solutions to problems of deflection, stress concentrations, and force resultants in solid and structural mechanics is introduced. Richardson extrapolation is carried out on a dataset of samples from a sequence of four grids. Simple medianbased statistical analysis is used to establish 95% confidence intervals. The procedure leads to simple calculations that deliver reasonably tight estimates of the true solution and confidence intervals.
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      Confidence Intervals for Richardson Extrapolation in Solid Mechanics

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    contributor authorKrysl, Petr
    date accessioned2023-04-06T13:02:48Z
    date available2023-04-06T13:02:48Z
    date copyright10/6/2022 12:00:00 AM
    date issued2022
    identifier issn23772158
    identifier othervvuq_007_03_031005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288979
    description abstractA simple procedure for estimating the uncertainty of estimates of true solutions to problems of deflection, stress concentrations, and force resultants in solid and structural mechanics is introduced. Richardson extrapolation is carried out on a dataset of samples from a sequence of four grids. Simple medianbased statistical analysis is used to establish 95% confidence intervals. The procedure leads to simple calculations that deliver reasonably tight estimates of the true solution and confidence intervals.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleConfidence Intervals for Richardson Extrapolation in Solid Mechanics
    typeJournal Paper
    journal volume7
    journal issue3
    journal titleJournal of Verification, Validation and Uncertainty Quantification
    identifier doi10.1115/1.4055728
    journal fristpage31005
    journal lastpage310059
    page9
    treeJournal of Verification, Validation and Uncertainty Quantification:;2022:;volume( 007 ):;issue: 003
    contenttypeFulltext
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