Experimental Vibration Analysis for Civil Engineering Structures

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 vibrationmeasurements.- 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.