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    TimeDependent Sensitivity of Structural Reliability Assessment to MultiSource Uncertainties Using Lamb Wave

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 006 ):;issue: 001::page 11004
    Author:
    Luan, Chao;Guan, Xuefei;He, Jingjing
    DOI: 10.1115/1.4055699
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article investigates the timedependent sensitivity of structural reliability assessment to multisource uncertainties using Lamb wave. To precisely model the influence of local damage on the structure in the course of damage growth, a surface damage effect model is proposed to obtain the equivalent elasticity modulus, which can be coupled with the structure model. The evolution of the surface damage is modeled using the fatigue crack propagation model. Furthermore, by setting up the component and structure failure criteria, the timedependent reliability model of the structure under multisource uncertainties from Lamb wave detection and material properties is established. The method of score function is employed to evaluate the sensitivity index, which is defined as the derivative of the reliability with respect to the distribution parameters of uncertain variables. A spatial truss structure is used to demonstrate the overall procedure. Numerical results show that the sensitivities indices are time and damage size dependent. The sensitivity contributions from Lamb wave quantification model and the material properties are comparable when the crack size is relatively small. When the crack grows to a larger size, the reliability assessment result is much more sensitive to uncertainties associated with material properties.
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      TimeDependent Sensitivity of Structural Reliability Assessment to MultiSource Uncertainties Using Lamb Wave

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4288879
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    contributor authorLuan, Chao;Guan, Xuefei;He, Jingjing
    date accessioned2023-04-06T12:59:13Z
    date available2023-04-06T12:59:13Z
    date copyright10/5/2022 12:00:00 AM
    date issued2022
    identifier issn25723901
    identifier othernde_6_1_011004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288879
    description abstractThis article investigates the timedependent sensitivity of structural reliability assessment to multisource uncertainties using Lamb wave. To precisely model the influence of local damage on the structure in the course of damage growth, a surface damage effect model is proposed to obtain the equivalent elasticity modulus, which can be coupled with the structure model. The evolution of the surface damage is modeled using the fatigue crack propagation model. Furthermore, by setting up the component and structure failure criteria, the timedependent reliability model of the structure under multisource uncertainties from Lamb wave detection and material properties is established. The method of score function is employed to evaluate the sensitivity index, which is defined as the derivative of the reliability with respect to the distribution parameters of uncertain variables. A spatial truss structure is used to demonstrate the overall procedure. Numerical results show that the sensitivities indices are time and damage size dependent. The sensitivity contributions from Lamb wave quantification model and the material properties are comparable when the crack size is relatively small. When the crack grows to a larger size, the reliability assessment result is much more sensitive to uncertainties associated with material properties.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTimeDependent Sensitivity of Structural Reliability Assessment to MultiSource Uncertainties Using Lamb Wave
    typeJournal Paper
    journal volume6
    journal issue1
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4055699
    journal fristpage11004
    journal lastpage1100410
    page10
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 006 ):;issue: 001
    contenttypeFulltext
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