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 …

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 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 …

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

The aim of this study is to develop a machine learning network to estimate the fundamental
vibration period values of existing reinforced concrete (RC) buildings with damaged …

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

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 …

The fundamental period is deemed an essential dynamic parameter influencing the seismic
design of buildings generally, and the RC structures specifically. In this regard, a number of …

Fundamental period of vibration of a structure is an important parameter which goes in the
seismic analysis and design. There are limitations in applying analytical or semi-empirical …