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    Special Section: Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002::page 20301-1
    Author:
    Zhang, Yi
    ,
    Kim, Chul-Woo
    ,
    Zhao, Yan-Gang
    ,
    Li, Pei-Pei
    DOI: 10.1115/1.4065325
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The recent advancements in structural health monitoring technology are truly remarkable [1,2], with the utilization of sophisticated methods, such as finite element analysis [3], mathematical statistics [4], and artificial intelligence [5], for performing thorough analyses. However, despite the wealth of tools at our disposal, uncertainties in mathematical modeling and analysis still hinder achieving accurate and reliable assessments in real-world scenarios. This Special Section issue of the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering on the Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring aims to shed light on these critical issues and explore avenues for future research and development, which contains eight technical papers.
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      Special Section: Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4303687
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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    contributor authorZhang, Yi
    contributor authorKim, Chul-Woo
    contributor authorZhao, Yan-Gang
    contributor authorLi, Pei-Pei
    date accessioned2024-12-24T19:17:58Z
    date available2024-12-24T19:17:58Z
    date copyright4/26/2024 12:00:00 AM
    date issued2024
    identifier issn2332-9017
    identifier otherrisk_010_02_020301.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303687
    description abstractThe recent advancements in structural health monitoring technology are truly remarkable [1,2], with the utilization of sophisticated methods, such as finite element analysis [3], mathematical statistics [4], and artificial intelligence [5], for performing thorough analyses. However, despite the wealth of tools at our disposal, uncertainties in mathematical modeling and analysis still hinder achieving accurate and reliable assessments in real-world scenarios. This Special Section issue of the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering on the Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring aims to shed light on these critical issues and explore avenues for future research and development, which contains eight technical papers.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSpecial Section: Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring
    typeJournal Paper
    journal volume10
    journal issue2
    journal titleASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
    identifier doi10.1115/1.4065325
    journal fristpage20301-1
    journal lastpage20301-2
    page2
    treeASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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