In this work, the estimation of the fundamental period of vibration of masonry infilled RC
frame structures is achieved using both Machine Learning techniques and concise …

The fundamental period (T FP) of vibration is the time required for a structure to complete
one full cycle of vibration, and it is one of the main features of the structural system. It highly …

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 precise prediction of the fundamental vibrational period for reinforced concrete (RC)
buildings with infilled walls is essential for structural design, especially earthquake-resistant …

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 …

Abstract Machine learning has become a powerful tool in structural and earthquake
engineering to accurately predict structural design parameters; however, these complex …

The accurate estimation of the fundamental time period is critical for the error-free risk and
reliability estimation of infrastructure systems. Although complex empirical models are …

In the present work, a large database comprising a set of features related to geometry, type
of boundary condition, type of material and experimental value of the first natural frequency …

It is very common to find an empirical formulation in an earthquake design code to calculate
fundamental vibration period of a structural system. Fundamental vibration period or …

Historical stone mosques with masonry dome are complex structures due to their different
structural elements, material properties, boundary conditions, connections, etc. It is very …