Titlebook: Experimental Vibration Analysis for Civil Engineering Structures; EVACES 2023 - Volume Maria Pina Limongelli,Pier Francesco Giordano,Alfr C

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,Model Order Selection for?Uncertainty Quantification in?Subspace-Based OMA of?Vestas V27 Blade,ed estimates. In this paper we go back to the roots of the uncertainty propagation in subspace methods and revise it to account for the erroneously chosen model order. The performance of the proposed approach is illustrated on real data collected from a full-scale wind turbine blade.

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2366-2557 system and model identification; coupled dynamical systems (including human–structure, vehicle–structure, and soil–structureinteraction); and application of advanced techniques involving the Internet of Things, robot, UAV, big data and artificial intelligence.978-3-031-39119-4978-3-031-39117-0Series ISSN 2366-2557 Series E-ISSN 2366-2565

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Forecasting the Value of Vibration-Based Monitoring Information in Structural Integrity Management,nalyses are used to drive maintenance optimization. Indeed, each outcome of the monitoring system and maintenance strategy is associated with an expected utility and cost. Optimization is performed by determining the lowest expected cost corresponding to a maintenance strategy.

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,FE Model Updating of?Cable-Stayed Bridges Based on?the?Experimental Estimate of?Cable Forces and?Moic mass and bearing deformability. The latter is the sensitivity of the natural frequencies to Young’s moduli. Two global optimization algorithms for mutual validation, differential evolution (DE) and particle swarm optimization (PSO), are then implemented for the model calibration.

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,Physics-Based and?Machine-Learning Models for?Braking Impact Factors, governing equations using the finite difference method. The vehicle is modelled as a two-degrees of freedom system corresponding to the bouncing and pitching motions. The computational efficiency of this model supported an expensive set of analyses, where the parameter values were selected using th

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