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 …

This review paper examines various aspects of seismic resilience, focusing on the behavior
and design criteria for buildings and lifeline systems in earthquake-prone areas. Beginning …

The fundamental period of vibration is a key parameter for the spectral approach to seismic
design of structures, as it significantly affects the evaluation of the response spectra values …

The estimation of the seismic vulnerability of regional structures has contributed positively to
the development of seismic risk and resilience in large-scale building clusters. However, the …

Predicting the structure's fundamental period is a challenging task since its value changes
when the features of buildings change. However, it is more cumbersome for reinforced …

The natural period of vibration is one of the most significant factors used in the seismic
design of buildings. Although the building design codes and previous studies provide some …

Vulnerability functions relate loss to seismic intensity and can be developed via several
approaches. They are a fundamental part of seismic risk assessment on a regional level and …

When compared to traditional reinforced concrete constructions on level surfaces, buildings
situated on hills with slopes require additional consideration, particularly when seismic …

Global vibration-based methods in the field of structural health monitoring are intended to
capture structural stiffness changes of buildings or other civil engineering structures. Natural …

The fundamental period is one of the most important parameters for the design of new
structures as well as for estimating the capacity of existing ones. Thus, to estimate it, various …