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dc.contributor.authorZhang, Yi
dc.contributor.authorKim, Chul-Woo
dc.contributor.authorZhao, Yan-Gang
dc.contributor.authorLi, Pei-Pei
dc.date.accessioned2024-12-24T19:17:58Z
dc.date.available2024-12-24T19:17:58Z
dc.date.copyright4/26/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn2332-9017
dc.identifier.otherrisk_010_02_020301.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303687
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleSpecial Section: Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring
dc.typeJournal Paper
dc.journal.volume10
dc.journal.issue2
dc.journal.titleASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
dc.identifier.doi10.1115/1.4065325
dc.journal.fristpage20301-1
dc.journal.lastpage20301-2
dc.page2
dc.treeASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002
dc.contenttypeFulltext


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