Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural network

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 structural and non-structural elements. By considering the proposed machine learning network, changes in the fundamental vibr...

Ausführliche Beschreibung