Finite element model updating of Komurhan highway bridge based on experimental measurements


Bayraktar A., Altunışık A. C., SEVİM B., Türker T.

SMART STRUCTURES AND SYSTEMS, cilt.6, sa.4, ss.373-388, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 6 Sayı: 4
  • Basım Tarihi: 2010
  • Doi Numarası: 10.12989/sss.2010.6.4.373
  • Dergi Adı: SMART STRUCTURES AND SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.373-388
  • Anahtar Kelimeler: ambient vibration, finite element model updating, highway bridge, operational modal analysis, peak picking method, DAMAGE IDENTIFICATION, HEALTH
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

The updated finite element model of Komurhan Highway Bridge on the Firat River located on the 51(st) km of Elazig-Malatya highway is obtained by using analytical and experimental results. The 2D and 3D finite element model of the bridge is created by using SAP2000 structural analyses software, and the dynamic characteristics of the bridge are determined analytically. The experimental measurements are carried out by Operational Modal Analysis Method under traffic induced vibrations and the dynamic characteristics are obtained experimentally. The vibration data are gathered from the both box girder and the deck of the bridge, separately. Due to the expansion joint in the middle of the bridge, special measurement points are selected when experimental test setups constitute. Measurement duration, frequency span and effective mode number are determined by considering similar studies in literature. The Peak Picking method in the frequency domain is used in the modal identification. At the end of the study, analytical and experimental dynamic characteristic are compared with each other and the finite element model of the bridge is updated by changing some uncertain parameters such as material properties and boundary conditions. Maximum differences between the natural frequencies are reduced from 10% to 2%, and a good agreement is found between natural frequencies and mode shapes after model updating.