Seismic fragility estimates for reinforced concrete bridges subject to corrosion

The paper develops novel probabilistic models for the seismic demand of reinforced concrete bridges subject to corrosion. The models are developed by extending currently available probabilistic models for pristine bridges with a probabilistic model for time-dependent chloride-induced corrosion. In particular, the models are developed for deformation and shear force demands. The demand models are combined with existing capacity models to obtain seismic fragility estimates of bridges during their service life. The estimates are applicable to bridges with different combinations of chloride exposure condition, environmental oxygen availability, water-to-cement ratios, and curing conditions. Model uncertainties in the demand, capacity and corrosion models are accounted for, in addition to the uncertainties in the environmental conditions, material properties, and structural geometry. As an application, the fragility of a single-bent bridge typical of current California practice is presented to demonstrate the developed methodology. Sensitivity and importance analyses are conducted to identify the parameters that contribute most to the reliability of the bridge and the random variables that have the largest effect on the variance of the limit state functions and thus are most important sources of uncertainty.

[1]  R. Rackwitz,et al.  First-order concepts in system reliability , 1982 .

[2]  Steen Krenk,et al.  Parametric Sensitivity in First Order Reliability Theory , 1989 .

[3]  Palle Thoft-Christensen LIFE-CYCLE PERFORMANCE OF DETERIORATING STRUCTURES: ASSESSMENT, DESIGN, AND MANAGEMENT , 2004 .

[4]  Armen Der Kiureghian,et al.  PROBABILISTIC SEISMIC DEMAND MODELS AND FRAGILITY ESTIMATES FOR RC BRIDGES , 2003 .

[5]  Mark G. Stewart,et al.  Structural reliability of concrete bridges including improved chloride-induced corrosion models , 2000 .

[6]  Gregory L. Fenves,et al.  An object-oriented software design for parallel structural analysis , 2000 .

[7]  Kevin R. Mackie,et al.  Probabilistic Seismic Demand Model for California Highway Bridges , 2001 .

[8]  Armen Der Kiureghian,et al.  Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations , 2002 .

[9]  A. Kiureghian,et al.  Parameter sensitivity and importance measures in nonlinear finite element reliability analysis , 2005 .

[10]  Richard E. Weyers,et al.  MODELING THE TIME-TO-CORROSION CRACKING IN CHLORIDE CONTAMINATED REINFORCED CONCRETE STRUCTURES , 1998 .

[11]  Cur STATISTICAL QUANTIFICATION OF THE VARIABLES IN THE LIMIT STATE FUNCTIONS , 2000 .

[12]  Palle Thoft-Christensen Corrosion and Cracking of Reinforced Concrete , 2003 .

[13]  Terje Haukaas,et al.  Probabilistic capacity models and seismic fragility estimates for RC columns subject to corrosion , 2008, Reliab. Eng. Syst. Saf..

[14]  Mark G. Stewart,et al.  Structural Safety and Serviceability of Concrete Bridges Subject to Corrosion , 1998 .

[15]  Paolo Gardoni,et al.  Closed-Form Fragility Estimates, Parameter Sensitivity, and Bayesian Updating for RC Columns , 2007 .

[16]  Michael P. Enright,et al.  Probabilistic analysis of resistance degradation of reinforced concrete bridge beams under corrosion , 1998 .

[17]  Michael P. Enright,et al.  Service-Life Prediction of Deteriorating Concrete Bridges , 1998 .

[18]  Peter Fajfar,et al.  A Nonlinear Analysis Method for Performance-Based Seismic Design , 2000 .

[19]  Henrik O. Madsen,et al.  Structural Reliability Methods , 1996 .