Seismic fragility and vulnerability assessment is an essential step in the evaluation of
probabilistic seismic risk. Ideally, models developed and calibrated for the building portfolio …

The artificial bee colony (ABC) algorithm is a recently introduced swarm intelligence
algorithm for optimization, which has already been successfully applied for the training of …

In this study, we used four different machine learning models-artificial neural network (ANN),
support vector regression (SVR), k-nearest neighbor (KNN), and random forest (RF)-to …

Models capable of estimating losses in future earthquakes are of fundamental importance
for emergency planners and for the insurance and reinsurance industries. One of the main …

South America—in particular, the Andean countries—are exposed to high levels of seismic
hazard, which, when combined with the elevated concentration of population and properties …

Earthquake loss estimation studies require predictions to be made of the proportion of a
building class falling within discrete damage bands from a specified earthquake demand …

Analytical methods for large-scale assessment of the seismic vulnerability of RC buildings
have only recently become feasible due to a combination of advancements in the field of …

The fundamental period is one of the most critical parameters for the seismic design of
structures. There are several literature approaches for its estimation which often conflict with …

Assessment of the seismic vulnerability of the building stock in the earthquake-prone
Marmara region of Turkey is of growing importance since such information is needed for …

The results of experimental tests carried out on reinforced concrete (RC) full‐scale 2‐storey
2‐bays framed buildings are presented. The unretrofitted frame was designed for gravity …