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Comparison of two output-only modal identification methods used for high-rise building: Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification

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Authors Comparison of two output-only modal identification methods used for high-rise building: Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification

  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

Abstract:

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.

Keywords:

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

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COI code: SECM03_468

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Nafisifard, Mohammad & Maryam Bitaraf, 2019, Comparison of two output-only modal identification methods used for high-rise building: Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification, rd International Conference on Applied Researches in Structural Engineering and Construction Management (secm2019), تهران, دانشگاه صنعتي شريف, https://www.civilica.com/Paper-SECM03-SECM03_468.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Nafisifard, Mohammad & Maryam Bitaraf, 2019)
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Type: state university
Paper No.: 51001
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