001476580 000__ 05948cam\\22006737i\4500 001476580 001__ 1476580 001476580 003__ OCoLC 001476580 005__ 20231003174427.0 001476580 006__ m\\\\\o\\d\\\\\\\\ 001476580 007__ cr\un\nnnunnun 001476580 008__ 230908s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001476580 019__ $$a1396063229 001476580 020__ $$a9783031391170$$q(electronic bk.) 001476580 020__ $$a3031391179$$q(electronic bk.) 001476580 020__ $$z9783031391163 001476580 0247_ $$a10.1007/978-3-031-39117-0$$2doi 001476580 035__ $$aSP(OCoLC)1396557431 001476580 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP 001476580 049__ $$aISEA 001476580 050_4 $$aTA645 001476580 08204 $$a624.171$$223/eng/20230908 001476580 1112_ $$aInternational Conference on Experimental Vibration Analysis for Civil Engineering Structures$$n(10th :$$d2023 :$$cMilan, Italy) 001476580 24510 $$aExperimental vibration analysis for civil engineering structures :$$bEVACES 2023.$$nVolume 2 /$$cMaria Pina Limongelli, Pier Francesco Giordano, Said Quqa, Carmelo Gentile, Alfredo Cigada, editors. 001476580 2463_ $$aEVACES 2023 001476580 264_1 $$aCham :$$bSpringer,$$c2023. 001476580 300__ $$a1 online resource (xx, 763 pages) :$$billustrations (some color). 001476580 336__ $$atext$$btxt$$2rdacontent 001476580 337__ $$acomputer$$bc$$2rdamedia 001476580 338__ $$aonline resource$$bcr$$2rdacarrier 001476580 4901_ $$aLecture notes in civil engineering,$$x2366-2565 ;$$v433 001476580 500__ $$aIncludes author index. 001476580 5050_ $$aOptimization 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. 001476580 506__ $$aAccess limited to authorized users. 001476580 520__ $$aThis volume presents peer-reviewed contributions from the 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES), held in Milan, Italy on August 30-September 1, 2023. The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation. The topics included but were not limited to: damage identification and structural health monitoring; testing, sensing and modeling; vibration isolation and control; system and model identification; coupled dynamical systems (including human-structure, vehicle-structure, and soil-structure interaction); and application of advanced techniques involving the Internet of Things, robot, UAV, big data and artificial intelligence. 001476580 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 8, 2023). 001476580 650_0 $$aStructural analysis (Engineering)$$vCongresses. 001476580 650_0 $$aVibration$$vCongresses. 001476580 655_0 $$aElectronic books. 001476580 7001_ $$aLimongelli, Maria Pina,$$eeditor. 001476580 7001_ $$aGiordano, Pier Francesco,$$eeditor. 001476580 7001_ $$aQuqa, Said,$$eeditor. 001476580 7001_ $$aGentile, Carmelo,$$eeditor. 001476580 7001_ $$aCigada, Alfredo,$$eeditor. 001476580 77608 $$iPrint version:$$aLimongelli, Maria Pina$$tExperimental Vibration Analysis for Civil Engineering Structures$$dCham : Springer,c2023$$z9783031391163 001476580 830_0 $$aLecture notes in civil engineering ;$$vv. 433.$$x2366-2565 001476580 852__ $$bebk 001476580 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-39117-0$$zOnline Access$$91397441.1 001476580 909CO $$ooai:library.usi.edu:1476580$$pGLOBAL_SET 001476580 980__ $$aBIB 001476580 980__ $$aEBOOK 001476580 982__ $$aEbook 001476580 983__ $$aOnline 001476580 994__ $$a92$$bISE