Use of structural health monitoring system for assessment of bridge load rating

Junwon Seo, Brent M. Phares, Ping Lu, Terry J. Wipf, Justin Dahlberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

A technical framework that uses a Structural Health Monitoring (SHM) system, which continuously measures bridge response to unknown ambient trucks, was proposed to calculate load ratings based upon finite element model simulations coupled with a statistical backbone. A steel bridge located in Iowa was selected to demonstrate this technical framework. Critical locations of the bridge were instrumented with a network of fiber optic sensors that collect real-time strain data from ambient trucks. As their characteristics were unknown, they were statistically characterized in terms of configuration and weight using Weigh-In-Motion (WIM) data collected in Iowa. Subsets of strain data were randomly selected to optimize computational models created with finite element software. The optimized models were used to determine distributions of load ratings following the AASHTO Load Factor Rating (LFR) methodology. Distributions were created for each strain set. The distributions, which account for variability in unknown trucks, can be used to evaluate the structural capacity of the bridge.

Original languageEnglish
Title of host publicationForensic Engineering 2012
Subtitle of host publicationGateway to a Better Tomorrow - Proceedings of the 6th Congress on Forensic Engineering
Pages18-27
Number of pages10
DOIs
StatePublished - 2013
Event6th Congress on Forensic Engineering 2012: Gateway to a Better Tomorrow - San Francisco, CA, United States
Duration: Oct 31 2012Nov 3 2012

Publication series

NameForensic Engineering 2012: Gateway to a Better Tomorrow - Proceedings of the 6th Congress on Forensic Engineering

Conference

Conference6th Congress on Forensic Engineering 2012: Gateway to a Better Tomorrow
Country/TerritoryUnited States
CitySan Francisco, CA
Period10/31/1211/3/12

Keywords

  • Bridge
  • Load rating distribution
  • Optimization
  • Strain data
  • Structural health monitoring system
  • Unknown trucks

ASJC Scopus subject areas

  • Biomedical Engineering

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