Utilization of Strong Motion Data for Toll Bridge Damage Assessment

This project explores the utilization of the strong motion data for automated, remote, real-time damage assessment of bridges immediately after a destructive event. Various vibration-based damage assessment methods are investigated for post-event damage assessment from noisy and incomplete measurements. The meaningful agreement between analytical and experimental finite element (FE) model parameters demonstrates the efficacy of the proposed damage identification procedure. Furthermore, two vibration-based procedures are proposed for investigation of the consequences of damage in collapse capacity and functionality status of the bridge. The first procedure applies a double-integration and filtering routine to estimate the maximum drift ratios experienced by the lateral force resisting elements of the bridge from acceleration measurements. The estimated drift ratios along with pushover curves of the corresponding elements are used to calculate the ductility-based residual capacity of the elements and the bridge. The second procedure utilizes the incremental dynamic analysis curves for estimating the collapse capacity of the bridge. A new approach is proposed for generating FE model realizations of the seismically damaged structures, which are used to estimate the ultimate capacity of the structure. The amount of loss in capacity along with seismic hazard characteristics at the bridge site and a set of tagging criteria are proposed for tagging and assessing the functionality status of the damaged bridge. The proposed damage assessment and residual capacity estimation methods are evaluated and validated by the results of seismic shake table experiments on a large-scale reinforced concrete bridge model.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 160p

Subject/Index Terms

Filing Info

  • Accession Number: 01524742
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: CA11-2253, UCI-CEEMF006
  • Contract Numbers: 59A0689
  • Files: CALTRANS, TRIS, STATEDOT
  • Created Date: May 1 2014 4:36PM