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 …

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 …

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 …

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 …

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 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 general assumption of a rigid base at the bottom of building structures during analysis
and design underestimates the seismic response. Building structures resting on loose sand …

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 …

The study is directed toward the precise prediction of the fundamental period of steel-braced
reinforced concrete (RC) moment-resisting frames through the utilization of stacked …

In modern urban construction, irregular buildings are increasingly constructed to fulfill
architectural and functional requirements. However, these buildings revealed unfavorable …