Mohammad Nafisifard - Master of Science Student, Faculty of Civil Engineering, University of Tehran, Tehran, Iran
Maryam Bitaraf - Assisstant Professor, Faculty of Civil Engineering, University of Tehran, Tehran, Iran

Vibration -based system identification methods provide new insights in the Civil Engineering by providing powerful tools for determining dynamic characteristics of buildings including natural frequency, mode shapes, and damping. Additionally, due to complex behavior of High-rise building and significant importance of these structures, a powerful and reliable system identification method is needed to be introduced. In this study, two system identification methods Enhanced frequency Domain decomposition (EFDD) and Stochastic Subspace Identification (SSI), are compared based on ambient vibration data in order to evaluate their accuracy for the system identification method of tall buildings.

High-rise building, System Identification, Ambient Vibration, Comparative Study