Investigation of steel stringer bridge superstructures

Date
2008-01-01
Authors
Koskie, Jeremy
Major Professor
Advisor
Terry J. Wipf
F. Wayne Klaiber
David J. White
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Journal Issue
Series
Department
Civil, Construction, and Environmental Engineering
Abstract

There are hundreds of structurally deficient or functionally obsolete bridges in the state of Iowa. With the majority of these bridges located on rural county roads where there is limited funding available to replace the bridges, diagnostic load testing can be utilized to determine the actual load carrying capacity of the bridge. One particular family or fleet of bridges that has been determined to be desirable for load testing consists of single-span bridges with non-composite, cast-in-place concrete decks, steel stringers, and timber substructures.;Six bridges with poor performing superstructure and substructure from the aforementioned family of bridges were selected to be load tested. The six bridges were located on rural roads in five different counties in Iowa: Boone, Carroll, Humboldt, Mahaska, and Marshall. The results of diagnostic load tests on the superstructure of the six bridges were used to calibrate analytical models of the bridges for rating purposes. All of the bridges were independently rated by three rating agencies using a codified approach. Those ratings were then compared to ratings calculated using a bridge model calibrated to the actual response of the bridge due to the load test. The calibrated bridge model was then used to rate the bridges and determine whether an increase in the initial codified bridge ratings was feasible.;This thesis focuses on evaluating the superstructure for this family of bridges and discusses the behavior characteristics that influence the load carrying capacity of this fleet of bridges. In particular, the live load distribution, partial composite action, and bearing restraint were investigated as potential factors that could influence the bridge ratings. Implementing fleet management practices, the bridges were analyzed to determine if the load test results could be predicted to better analyze previously untested bridges. For this family of bridges it was found that the ratings increased as a result of the load testing demonstrating a greater capacity than determined analytically.

Comments
Description
Keywords
Citation
Source