Poster 22-18

Structural Monitoring of Steel-Member Bridges with Fatigue Life Prognosis due to Dynamic Vehicular Loads

PI: Yang Wang

Co-PI(s): Ryan Sherman

Institution(s): Georgia Institute of Technology

Abstract

Standard procedures exist to calculate the remaining fatigue life of steel bridges. However, such procedures rely on conservative estimates of the live load stress range that do not account for system-level behavior. Data acquisition (DAQ) systems exist that are capable of measuring the true structural response of in-service bridge systems. Leveraging such systems with fatigue analysis procedures, allows the remaining fatigue life to be more accurately estimated, thereby often extending the service life of critical bridge systems. The outcome of this project is to provide a long-lasting impact on the GDOT bridge asset management program by aiding in decisions regarding the repair, retrofit, and replacement of fatigue-sensitive bridges. A structural monitoring system will be developed to collect live data. The data will be used to create a finite element model for dynamic behavior and an algorithm to estimate the remaining fatigue life.

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