TECHNICAL PAPERS
Jul 1, 2008

Statistical Modeling of Coupled Shear-Moment Resistance for RC Bridge Girders

Publication: Journal of Bridge Engineering
Volume 13, Issue 4

Abstract

Many reinforced concrete bridges are posted or restricted to traffic, and repair or replacement decisions for these bridges involves both economical and safety considerations. To avoid the high costs of unnecessary replacement or repair, safety evaluation should be done with the most accurate methods available. Due to variability in material properties, geometrical properties, and methods of analysis, load carrying capacity evaluation may lead to uncertain outcomes. This paper presents a statistical model for combined shear-moment resistance of conventionally reinforced concrete bridge girders with common vintage design details and properties. New statistical data on stirrup spacing variability were developed from field measurements on in-service deck-girder bridges and these were combined with available data in the literature to model resistance uncertainty. The model offers bias factor and coefficient of variation for combined moment and shear carrying capacity per modified compression field theory. AASHTO-LRFD and ACI-318 were utilized to calculate capacity of the selected sections and strength reduction factors in AASHTO-LRFD and ACI-318 were compared using the obtained statistical parameters.

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Information & Authors

Information

Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 13Issue 4July 2008
Pages: 351 - 361

History

Received: Jan 16, 2007
Accepted: Oct 8, 2007
Published online: Jul 1, 2008
Published in print: Jul 2008

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Authors

Affiliations

O. Tugrul Turan [email protected]
Graduate Research Assistant, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331 (corresponding author). E-mail: [email protected]
Christopher Higgins
Associate Professor, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331.
David V. Rosowsky
Professor and Head, Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843.

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