This paper studies the effects of the 1763 Komárom earthquake (Hungarian Kingdom)
by analysing historical building archetypes using both Nonlinear Static Analysis (NSA)—the
EC8 N2-method—and Incremental Dynamic Analysis (IDA). Hungary is located in the Carpathian
Basin, a region with a regular low-to-moderate seismicity and a relatively small occurrence
rate of high-intensity events. A method for the estimation of the magnitude of historical
seismic events exists and uses IDA to produce fragility functions. The Bayesian framework
of the method allows the incorporation of physical and epistemic uncertainties in
the final magnitude estimates. Thus, in order to obtain reliable magnitude estimates
it is important to reduce the uncertainty in both structural resistance and demand.
While this requires different investigation levels on the building typologies, the
materials, the collapse mechanisms, the ground motion (GM) patterns of the affected
region, and the incorporation of uncertainties in the structural models is computationally
costly. While NSA is conducted in Tremuri, an OpenSEES Pinching4 hysteretic material
model is calibrated in order to carry out the IDA. The resulting fragilities show
a relatively high damage probability at low acceleration levels. An application of
the magnitude estimation method is illustrated.
