System-identification procedure for system and input parameters in ambient vibration surveys

Nicholas P. Jones, Tinghui Shi, J. Hugh Ellis, Ronert H. Scanlan

Research output: Contribution to journalArticlepeer-review

Abstract

Over the past several decades, much valuable data pertaining to the structural performance of large civil structures (e.g., bridges) have been obtained through the use of ambient vibration surveys. While there have been significant advances in the technology used to collect the data, processing techniques used in such situations are still unable to reliably extract "difficult" parameters such as damping. This paper presents an overview of a method based on the application of a Kalman filter for the identification of system and excitation characteristics. Numerical examples of the method are presented.

Original languageEnglish (US)
Pages (from-to)91-99
Number of pages9
JournalJournal of Wind Engineering and Industrial Aerodynamics
Volume54-55
Issue numberC
DOIs
StatePublished - Feb 1995
Externally publishedYes

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Mechanical Engineering

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