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Experimental vibration analysis for civil engineering structures = EVACES 2023.. Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Experimental vibration analysis for civil engineering structures/ edited by Maria Pina Limongelli ... [et al.].
其他題名:	EVACES 2023.
其他題名:	EVACES 2023
其他作者:	Limongelli, Maria Pina.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xx, 763 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Internet of Things. -
電子資源:	https://doi.org/10.1007/978-3-031-39117-0
ISBN:	9783031391170

Experimental vibration analysis for civil engineering structures = EVACES 2023.. Volume 2 /
Experimental vibration analysis for civil engineering structuresEVACES 2023.Volume 2 /[electronic resource] :EVACES 2023edited by Maria Pina Limongelli ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xx, 763 p. :ill. (some col.), digital ;24 cm. - Lecture notes in civil engineering,v. 4332366-2565 ;. - Lecture notes in civil engineering ;v.1..

Optimization of structural health monitoring for bridges networks by combining traditional and innovative techniques -- Value of Seismic Structural Health Monitoring Information for management of civil structures under different prior knowledge scenarios -- On the modeling of multi-sensors vibration-based monitoring systems and integrity management -- Efficient subspace-based operational modal analysis using video-based vibration measurements -- Model order selection for uncertainty quantification in subspace-based OMA of Vestas V27 blade -- Modal Analysis of a Steel Truss Bridge under Varying Environmental Conditions -- Linear System Identification and Bayesian Model Updating of the UC San Diego Geisel Library -- FE model updating of cable-stayed bridges based on the experimental estimate of cable forces and modal parameters -- Physics-based and machine-learning models for braking impact factors -- Dynamic tests with hard braking heavy vehicles on a motorway bridge -- Determining braking forces on bridges using monitored traffic data and stochastic simulation -- Fusing modal parameters and curvature influence lines for damage localization under vehicle excitation -- An Unsupervised Learning Method for Indirect Bridge Structural Health Monitoring -- Using contact residual responses of a 3-DOF scooter to identify first few frequencies of the footbridge -- Automatic drive-by bridge damage detection via a clustering algorithm -- A Drive-by Bridge Damage Localisation Method with an Instrumented Vehicle -- A Data-Driven Approach for Monitoring Railway Tracks using Dynamic Responses Collected by an In-Service Train -- Bridge response fusion drive-by-bridge inspection by means of model updates -- Drive-by Bridge Deflection Estimating Method Based on Track Irregularities Measured on a Train: Extension to Multiple Bridge Sections -- Roadway roughness profile identification from vehicle acceleration by means of dynamic regularized least square minimization.

This volume presents peer-reviewed contributions from the 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES), held in Milan, Italy on August 30-September 1, 2023. The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation. The topics included but were not limited to: damage identification and structural health monitoring; testing, sensing and modeling; vibration isolation and control; system and model identification; coupled dynamical systems (including human-structure, vehicle-structure, and soil-structure interaction); and application of advanced techniques involving the Internet of Things, robot, UAV, big data and artificial intelligence.

ISBN: 9783031391170

Standard No.: 10.1007/978-3-031-39117-0doiSubjects--Topical Terms:

1048478
Internet of Things.

LC Class. No.: TA654

Dewey Class. No.: 624.171

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