Dynamic Vibration Techniques in Highway Bridge Monitoring

Details

• Creators:
  DeWolf, John T. ; Zhao, Jun
• Corporate Creators:
  University of Connecticut. Department of Civil and Environmental Engineering
• Corporate Contributors:
  Connecticut. Department of Transportation
• Subject/TRT Terms:
  • Bridges
  • Structures
  • Dynamic structural analysis
  • Expansion joints
  • Monitoring
  • Steel bridges
  • Vibration tests
  • Structural connection
  • Damage assessment
  • Connection behavior
  More +
• Publication/ Report Number:
  CEE-98-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of Connecticut
• Description:
  Currently, there are different monitoring techniques which can be used for damage detection in bridges. These include approaches based on both static and dynamic behavior. The use of dynamic properties has advantages over static properties, since components of the dynamic properties are only marginally influenced by variations in the loading. When dynamic properties are used, field studies have shown that it is not always sufficient to use only the traditional natural frequencies and modal displacements. Current research on bridge damage detection indicates that derivatives of natural frequencies and modal displacements, including the modal flexibility, the modal assurance criterion, and the coordinate model assurance criterion, may be used to generate effective diagnostic parameters for damage identification. This report presents a review of all current methods which use vibrational information for bridge monitoring and damage detection. The methods are applied to the results from a field study of a bridge in which expansion bearings were partially restrained in colder weather.
• Format:
  PDF
• Funding:
  CT-SPR-Study Number 2217
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/57524/dot_57524_DS1.pdf
• File Type:
  [PDF - 2.55 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:bfde63e0a679c320abbddd2b25909ee0f595d7e8d893790a0427b7062850eac6