Integration of Bridge Damage Detection Concepts and Components Volume II: Acceleration-Based Damage Detection

In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The objective of this part of the project was to validate/integrate a vibration-based damage-detection algorithm with the strain-based methodology formulated by the Iowa State University Bridge Engineering Center. This report volume (Volume II) presents the use of vibration-based damage-detection approaches as local methods to quantify damage at critical areas in structures. Acceleration data were collected and analyzed to evaluate the relationships between sensors and with changes in environmental conditions. A sacrificial specimen was investigated to verify the damage-detection capabilities and this volume presents a transmissibility concept and damage-detection algorithm that show potential to sense local changes in the dynamic stiffness between points across a joint of a real structure. The validation and integration of the vibration-based and strain-based damage-detection methodologies will add significant value to Iowa’s current and future bridge maintenance, planning, and management.

• Record URL:
  • http://publications.iowa.gov/15126/2/IADOT_InTrans_Bridge_damage_detection_vol_2.pdf
• 
• Summary URL:
  • http://publications.iowa.gov/15126/4/IADOT_InTrans_statewide_bridge_damage_detection_t2.pdf
• Summary URL:
  • http://publications.iowa.gov/id/eprint/15126
• Corporate Authors:

  University of Iowa, Iowa City

  Center for Computer-Aided Design, College of Engineering
  Iowa City, IA  United States  52242

  Iowa Department of Transportation

  800 Lincoln Way
  Ames, IA  United States  50010
• Authors:
  • Rahmatalla, Salam
  • Schallhorn, Charles
  • Swadi, Ghedhban
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Photos; References;
• Pagination: 46p

Subject/Index Terms

• TRT Terms: Algorithms; Bridge management systems; Software; Structural health monitoring; Validation
• Uncontrolled Terms: Vibration-based damage detection
• Geographic Terms: Ames (Iowa)
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; I24: Design of Bridges and Retaining Walls; I60: Maintenance;

Filing Info

• Accession Number: 01500068
• Record Type: Publication
• Report/Paper Numbers: IHRB Project TR-636, InTrans Project 11-416
• Files: TRIS, ATRI, STATEDOT
• Created Date: Nov 25 2013 10:05AM