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Probabilistic models and reliability analysis of scour depth around bridge piers

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 estimate 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 values of the model
parameters suggest that the maximum sour depth predicted by the deterministic HEC-18
Sand and HEC-18 Clay models tend to be conservative. Evidence is also found that the
applicability of the HEC-18 Clay method is not limited to clay but can also be used for other soil types. The main advantage of the HEC-18 Clay method with respect to the
HEC-18 Sand method is that it predicts the depth of scour as a function of time and can
be used to estimate the final scour at the end of the design life of a structure. The paper
addresses model uncertainties for given hydrologic variables. Hydrologic uncertainties
have been presented in a separate paper.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1764
Date02 June 2009
CreatorsBolduc, Laura Christine
ContributorsGardoni, Paolo
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Thesis, text
Formatelectronic, application/pdf, born digital

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