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Titlebook: European Workshop on Structural Health Monitoring; Special Collection o Piervincenzo Rizzo,Alberto Milazzo Conference proceedings 2021 Spri

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发表于 2025-3-21 17:43:46 | 显示全部楼层 |阅读模式
书目名称European Workshop on Structural Health Monitoring
副标题Special Collection o
编辑Piervincenzo Rizzo,Alberto Milazzo
视频video
概述Features the state of the art in structural health monitoring.Includes thematic sessions devoted to SHM in marine and civil engineering, and devoted to biomedical applications.Written by leading exper
丛书名称Lecture Notes in Civil Engineering
图书封面Titlebook: European Workshop on Structural Health Monitoring; Special Collection o Piervincenzo Rizzo,Alberto Milazzo Conference proceedings 2021 Spri
描述.This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists. The contents of this volume reflect the outcomes of the activities of EWSHM (European Workshop on Structural Health Monitoring) in 2020..
出版日期Conference proceedings 2021
关键词EWSHM; Unmanned Aerial Vehicles; Energy Harvesting; SHM System Design; Smart Cities; SHM for Civil Infra
版次1
doihttps://doi.org/10.1007/978-3-030-64594-6
isbn_softcover978-3-030-64596-0
isbn_ebook978-3-030-64594-6Series ISSN 2366-2557 Series E-ISSN 2366-2565
issn_series 2366-2557
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Uncertainty Analysis of Damage Identification Results Based on Finite Element Model Updatinglts are presented in two formats: (1) Spread of the identified damage factors for all 320 identification runs with their statistical measures and (2) R. values of the mean and standard deviation of the identified damage factors due to the variability of each input factor. The results of this investi
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