Bayesian updating of seismic fragility curves of the Irpinia 1980 building stock with machine-learning-supported data analysis
This study develops an integrated method combining machine-learning supported data completion with Bayesian probabilistic methods to derive fragility functions from the database collected after the 1980 Irpinia earthquake, allowing for the explicit treatment of uncertainty in both model parameters and seismic demand.