Special Section: Modeling and Analysis of Inspection Uncertainties in Structural Health MonitoringSource: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002::page 20301-1DOI: 10.1115/1.4065325Publisher: 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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contributor author | Zhang, Yi | |
contributor author | Kim, Chul-Woo | |
contributor author | Zhao, Yan-Gang | |
contributor author | Li, Pei-Pei | |
date accessioned | 2024-12-24T19:17:58Z | |
date available | 2024-12-24T19:17:58Z | |
date copyright | 4/26/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 2332-9017 | |
identifier other | risk_010_02_020301.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4303687 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Special Section: Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring | |
type | Journal Paper | |
journal volume | 10 | |
journal issue | 2 | |
journal title | ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg | |
identifier doi | 10.1115/1.4065325 | |
journal fristpage | 20301-1 | |
journal lastpage | 20301-2 | |
page | 2 | |
tree | ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002 | |
contenttype | Fulltext |