Probabilistic Models for the Tensile Strength of Corroding Strands in Posttensioned Segmental Concrete Bridges
Publication: Journal of Materials in Civil Engineering
Volume 22, Issue 10
Abstract
The presence of air voids, moisture, and chlorides inside tendon systems on segmental posttensioned (PT) bridges has been cited as a reason for the early age corrosion and failure of strands in these bridges. This paper develops probabilistic models to predict the time-variant tension capacity of PT strands exposed to wet-dry conditions. A total of 384 unstressed and 162 stressed strand test specimens were exposed to various void, moisture, and chloride conditions for 0, 12, 16, and 21 months; the residual tension capacities of the strands were then determined. Using these experimental data, a Bayesian approach is used to develop probabilistic capacity models for unstressed and stressed strands. The tension capacities of stressed strands under potential void, wet-dry, and chloride conditions in the field are predicted using the developed models. Probabilistic time-variant models are formulated in such a way that they can be updated by other researchers using additional information from the testing of unstressed strands only, avoiding expensive and cumbersome testing of stressed strands. The mean absolute percentage errors of these models are less than 3.2%, indicating good overall model accuracy.
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Acknowledgments
This research was performed at the Texas Transportation Institute (TTI) and Zachry Department of Civil Engineering, Texas A&M University (TAMU), College Station, Tex., through a sponsored project from the Texas Department of Transportation (TxDOT), Austin, Tex. This support is much appreciated. The writers acknowledge the support from Keith Ramsey (Program Coordinator), Jaime Sanchez (Project Director I), Maxine Jacoby (Project Director II), German Claros (Project Director III), Brian Merrill (Project Director IV), Dean Van Landuyt, Kenneth Ozuna, Steve Strmiska, Tom Rummel, and other TxDOT engineers. The writers acknowledge Jeff Perry and Matt Potter of the High Bay Structural Materials Laboratory; Scott Crauneur of the Zachry Department of Civil Engineering; and Duane Wagner, Cheryl Burt, Scott Dobrovolny, Robert Kocman, and Gary Gerke of TTI for their assistance during the experimental phase of this research. The writers also acknowledge the assistance from Daren Cline, Ramesh Kumar, and Byoung Chan Jung during the analytical phase of this research.
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© 2010 ASCE.
History
Received: Jul 25, 2009
Accepted: Mar 4, 2010
Published online: Mar 6, 2010
Published in print: Oct 2010
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