Bayesian updating of seismic fragility curves of the Irpinia 1980 building stock with machine-learning-supported data analysis
Reliable seismic fragility assessments are essential for risk application, however, within empirical framework it is hard challenging due to the reliability of exposure information and to the need to account explicitly for uncertainty in ground motion intensity. This study develops an integrated method combining mach...