Spatial time-dependent reliability analysis of corroding pretensioned prestressed concrete bridge girders

Accelerated pitting corrosion tests have been performed to obtain spatial and temporal maximum pit-depth data for prestressing wires. This data is then used to develop probabilistic models of pitting corrosion and strength capacity of 7-wire strands. The probabilistic model of pitting corrosion for...

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Published inStructural safety Vol. 29; no. 1; pp. 16 - 31
Main Authors Darmawan, M. Sigit, Stewart, Mark G.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.01.2007
New York, NY Elsevier Science
Subjects
Applied sciences
Bridges
Building failures (cracks, physical changes, etc.)
Buildings. Public works
Computation methods. Tables. Charts
Concrete bridges
Deterioration
Durability. Pathology. Repairing. Maintenance
Exact sciences and technology
Pitting corrosion
Prestressed concrete
Stochastic finite element analysis
Structural analysis. Stresses
Structural reliability
Structural reliability
Pitting corrosion
Prestressed concrete
Deterioration
Stochastic finite element analysis
Probability
Pretensioning
Finite element method
Bridges
Time dependence
Concrete construction
Example
Probabilistic model
Structural analysis
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Summary:Accelerated pitting corrosion tests have been performed to obtain spatial and temporal maximum pit-depth data for prestressing wires. This data is then used to develop probabilistic models of pitting corrosion and strength capacity of 7-wire strands. The probabilistic model of pitting corrosion for strands is then combined with a non-linear Finite Element Analysis and probabilistic models of corrosion initiation and propagation to study the spatial and temporal effects of pitting corrosion on a typical pretensioned prestressed concrete bridge girder. The limit states considered are flexural strength and serviceability. The spatial time-dependent reliability analysis takes into account the uncertainties and variabilities related to material properties, dimensions, loads and corrosion parameters as well as the spatial variability of pitting corrosion of prestressing strands. Including the spatial variability of pitting corrosion in the reliability analysis increased both the probability of strength and serviceability failure when compared with a mid-span sectional analysis.
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ISSN:0167-4730
1879-3355
DOI:10.1016/j.strusafe.2005.11.002