Damage identification in highway bridges using distribution factors

Michael V. Gangone, Matthew J. Whelan

Research output: ResearchConference contribution

Abstract

The U.S. infrastructure system is well behind the needs of the 21st century and in dire need of improvements. The American Society of Civil Engineers (ASCE) graded America's Infrastructure as a "D+" in its recent 2013 Report Card. Bridges are a major component of the infrastructure system and were awarded a "C+". Nearly 25 percent of the nation's bridges are categorized as deficient by the Federal Highway Administration (FWHA). Most bridges were designed with an expected service life of roughly 50 years and today the average age of a bridge is 42 years. Finding alternative methods of condition assessment which captures the true performance of the bridge is of high importance. This paper discusses the monitoring of two multi-girder/stringer bridges at different ages of service life. Normal strain measurements were used to calculate the load distribution factor at the midspan of the bridge under controlled loading conditions. Controlled progressive damage was implemented to one of the superstructures to determine if the damage could be detected using the distribution factor. An uncertainty analysis, based on the accuracy and precision of the normal strain measurement, was undertaken to determine how effective it is to use the distribution factor measurement as a damage indicator. The analysis indicates that this load testing parameter may be an effective measure for detecting damage.

LanguageEnglish (US)
Title of host publicationNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017
PublisherSPIE
Volume10169
ISBN (Electronic)9781510608238
DOIs
StatePublished - 2017
EventConference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017 - Portland, United States
Duration: Mar 26 2017Mar 29 2017

Other

OtherConference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017
CountryUnited States
CityPortland
Period3/26/173/29/17

Fingerprint

Damage Identification
Damage
Highway bridges
damage
Infrastructure
Strain Measurement
Life
Strain measurement
Service life
service life
strain measurement
Uncertainty Analysis
Load Distribution
Percent
Monitoring
Calculate
Testing
Alternatives
Highway administration
Load testing

Keywords

  • Condition assessment
  • Damage detection
  • Diagnostic load testing
  • Distribution factor
  • Experimental bridge monitoring
  • Strain

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Gangone, M. V., & Whelan, M. J. (2017). Damage identification in highway bridges using distribution factors. In Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017 (Vol. 10169). [101692I] SPIE. DOI: 10.1117/12.2258240

Damage identification in highway bridges using distribution factors. / Gangone, Michael V.; Whelan, Matthew J.

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. Vol. 10169 SPIE, 2017. 101692I.

Research output: ResearchConference contribution

Gangone, MV & Whelan, MJ 2017, Damage identification in highway bridges using distribution factors. in Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. vol. 10169, 101692I, SPIE, Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017, Portland, United States, 3/26/17. DOI: 10.1117/12.2258240
Gangone MV, Whelan MJ. Damage identification in highway bridges using distribution factors. In Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. Vol. 10169. SPIE. 2017. 101692I. Available from, DOI: 10.1117/12.2258240
Gangone, Michael V. ; Whelan, Matthew J./ Damage identification in highway bridges using distribution factors. Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017. Vol. 10169 SPIE, 2017.
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