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Statistical Modeling of Coupled Shear-Moment Resistance for RC Bridge Girders
Authors:O. Tugrul Turan  Christopher Higgins  David V. Rosowsky
Affiliation:1Graduate Research Assistant, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331 (corresponding author). E-mail: turano@onid.orst.edu
2Associate Professor, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331.
3Professor and Head, Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843.
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.
Keywords:Concrete, reinforced  Bridges, girder  Bridges, concrete  Monte Carlo method  Bending moments  Shear  Statistics  
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