TECHNICAL PAPERS
Feb 1, 2008

Probability of Exceedance Estimates for Scour Depth around Bridge Piers

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 134, Issue 2

Abstract

Scour at a bridge pier is the formation of a hole around the pier due to the erosion of soil by flowing water; this hole in the soil reduces the carrying capacity of the foundation and the pier. Excessive scour can cause a bridge pier to fail without warning. Current predictions of the depth of the scour hole around a bridge pier are based on deterministic models. This paper considers two alternative deterministic models to predict scour depth. For each deterministic model, a corresponding probabilistic model is constructed using a Bayesian statistical approach and available field and experimental data. The developed probabilistic models account for the estimated bias in the deterministic models and for the model uncertainty. Parameters from both prediction models are compared to determine their accuracy. The developed probabilistic models are used to estimate the probability of exceedance of scour depth around bridge piers. The method is demonstrated on an example bridge pier. The paper addresses model uncertainties for given hydrologic variables. Hydrologic uncertainties have been presented in a separate paper.

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References

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Information

Published In

Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 134Issue 2February 2008
Pages: 175 - 184

History

Received: Jul 19, 2006
Accepted: Jul 14, 2007
Published online: Feb 1, 2008
Published in print: Feb 2008

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Authors

Affiliations

Laura C. Bolduc
Graduate Student, Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843-3136.
Paolo Gardoni
Assistant Professor, Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843-3136 (corresponding author). E-mail: [email protected]
Jean-Louis Briaud
Professor and Holder of the Buchanan Chair, Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843-3136.

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