Seismic assessment of masonry structures requires effective numerical models to handle their nonlinear behavior and uncertainties due to incomplete knowledge of various parameters.
The Bayesian approach, though not extensively explored for historic masonry, is gaining attention for its ability to integrate multiple information sources and improve parameter identification.
This study employs a Bayesian framework alongside probabilistic structural analyses to create reliable seismic fragility curves for non-isolated masonry towers, demonstrating advantages over traditional deterministic methods.