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dc.contributor.authorLuan, Chao;Guan, Xuefei;He, Jingjing
dc.date.accessioned2023-04-06T12:59:13Z
dc.date.available2023-04-06T12:59:13Z
dc.date.copyright10/5/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn25723901
dc.identifier.othernde_6_1_011004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288879
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleTimeDependent Sensitivity of Structural Reliability Assessment to MultiSource Uncertainties Using Lamb Wave
dc.typeJournal Paper
dc.journal.volume6
dc.journal.issue1
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4055699
dc.journal.fristpage11004
dc.journal.lastpage1100410
dc.page10
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 006 ):;issue: 001
dc.contenttypeFulltext


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