The S4H team recently published a research paper in the Special Issue in Honor of Professor Armen Der Kiureghian in the Journal of Reliability Engineering and System Safety, authored by Daniel Caicedo, Dr. Shaghayegh Karimzadeh, and Prof. Paulo B. Lourenço, in collaboration with Dr. Igor Tomić and Prof. Katrin Beyer from EPFL, and Dr. Vasco Bernardo from LNEC. The study develops a Probabilistic Seismic Demand Model (PSDM) linking seismic intensity measures (IMs) to engineering demand parameters (EDPs) for two types of historical masonry buildings: a stiff monumental and a tall, slender structure. Further, the study evaluates the most effective IMs based on efficiency, practicability, proficiency, and sufficiency. A composite IM is also developed via Lasso regression to improve prediction accuracy. Finally, fragility curves are reproduced to estimate the probability of exceeding certain displacement thresholds.

The full paper can be accessed at Link.