Integration of Bridge Damage Detection Concepts and Components Volume I: Strain-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 statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule. An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training.

• Record URL:
  • http://publications.iowa.gov/15126/1/IADOT_InTrans_Bridge_damage_detection_vol_1.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:

  Iowa State University, Ames

  Bridge Engineering Center
  2711 South Loop Drive, Suite 4700
  Ames, Iowa  United States  50010-8664

  Iowa Department of Transportation

  800 Lincoln Way
  Ames, IA  United States  50010
• Authors:
  • Phares, Brent M
  • Greimann, Lowell
  • Choi, Hyungjoo
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Photos; References; Tables;
• Pagination: 81p

Subject/Index Terms

• TRT Terms: Bridge management systems; Software; Structural health monitoring
• Uncontrolled Terms: 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: 01500062
• 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