Infrastructure Inspection During and After Unexpected Events-Phase I

Details

• Creators:
  Rahmatalla, Salam ; Karimpour, Ali
• Corporate Creators:
  University of Nebraska. Mid-America Transportation Center ; University of Iowa. Civil and Environmental Engineering
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Structural health monitoring
  • Highway bridges
  • Mechanical vibration
  • Disasters
  • Disasters and emergency operations
  • Inspection
  • Sensors
  • Validation
  • Vibration Structural Health Monitoring (SHM)
  • Damage Detection
  More +
• Publication/ Report Number:
  25-1121-0005-142-1;MATC-UI: 142-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  West North Central States;United States
• Edition:
  Final Report, August 2017-December 2018
• Corporate Publisher:
  University of Nebraska. Mid-America Transportation Center
• Abstract:
  This report presents the development of a vibration-based damage-detection methodology for the structural health monitoring and damage detection of vital line structures and highway bridges under extreme conditions, including seismic and water interactions. The damage-detection method uses the transmissibility function-the ratio between the output signals at two locations on the structure-of the acceleration, angular velocity, and strain signals to generate a damage index. The validity of the proposed damage index was tested on a small-scale model of a highway bridge under impact loading, with ground vibration, and inside a water flume. The initial experimental results showed a very promising performance of the proposed damage index in detecting changes in the integrity of the structure under different loading/damage conditions. The results also showed the benefits of deploying heterogeneous kinds of sensors rather than just using one type of sensor.
• Content Notes:
  Final data for the project is stored in the UNL Data Repository. The metadata URL is: https://doi.org/10.13014/K2VX0DRZ
• Format:
  PDF
• Funding:
  69A3551747107
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/38811/dot_38811_DS1.pdf
• File Type:
  [PDF - 3.68 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1bd2c0bb0fb63022428d8e349e269722cc02234ccfe1ef1f787ba8a6167c8a771fa9908fbb5c89f18c0a5d9401c3bca811515a43dfd99883504a972ef3228cc5