System identification of two large-scale bridges before and after seismic testing using target-Tracking digital image correlation

Luna Ngeljaratan, M. A. Moustafa

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents recent research activities conducted in the Earthquake Engineering Laboratory of University of Nevada, Reno in the field of dynamic monitoring and system identification of two-span concrete and steel bridges. A 3D target tracking didigtal image correlation (DIC) system was used for monitoring and DIC data was used for the system identification presented in this paper. Two 1/3-scale bridges were tested under several intenisty levels of earthquake loading using multiple shake tables. Before and after each seismic test, low amplitude white noise base excitation tests were conducted. A quasi-linear response of the system was assumed because of the low intensity of the white noise base excitations, and the structural modal parameters were estimated accordingly. Using the target-Tracking DIC measured response, FFT and SSI identification methods were used to estimate and compare the eigenfrequency, damping ratio and mode shape of the bridges before and after the seismic tests.

Original languageEnglish (US)
Pages927-933
Number of pages7
StatePublished - 2019
Event9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - St. Louis, United States
Duration: Aug 4 2019Aug 7 2019

Conference

Conference9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019
Country/TerritoryUnited States
CitySt. Louis
Period8/4/198/7/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Building and Construction

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