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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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