The digital twin concept represents an appealing opportunity to advance condition-based
and predictive maintenance paradigms for civil engineering systems, thus allowing reduced …

Structural dynamics has numerous practical applications, such as structural analysis,
vibration control, energy harvesting, system identification, structural safety assessment, and …

Data-driven approaches to structural health monitoring (SHM) have been recently shown to
be a powerful paradigm, hel** to lead to an evolution of traditional scheduled-based …

Stochastic approaches to structural health monitoring (SHM) are often inevitably limited by
computational constraints. For instance, for Markov chain Monte Carlo algorithms relying …

Within a structural health monitoring (SHM) framework, we propose a simulation-based
classification strategy to move towards online damage localization. The procedure combines …

Time series analysis and novelty detection are effective and promising methods for data-
driven structural health monitoring (SHM) based on the statistical pattern recognition …

In this paper, a new data assimilation framework for correcting finite element models from
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …

Data-driven damage localization is an important step of vibration-based structural health
monitoring. Statistical pattern recognition based on the prominent steps of feature extraction …

We propose a novel approach to structural health monitoring (SHM), aiming at the automatic
identification of damage-sensitive features from data acquired through pervasive sensor …

In this paper, the transient dynamic response of shear type multi-storey buildings subjected
to earthquake ground motion is generated via adversarial learning technique under different …