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contributor authorJean-Louis
contributor authorBriaud
contributor authorPaolo
contributor authorGardoni
contributor authorCongpu
contributor authorYao
date accessioned2017-05-08T21:48:13Z
date available2017-05-08T21:48:13Z
date copyrightFebruary 2014
date issued2014
identifier other%28asce%29gt%2E1943-5606%2E0001011.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/62811
description abstractBridge scour is the loss of soil by erosion because of water flowing around bridge supports. Scour has been the number one cause of bridge failure in the United States with an average annual rate of 22 bridges collapsing or being closed owing to severe deformation. This paper addresses three topics related to bridge scour. First, a set of databases was used to quantify the statistical parameters associated with the scatter between the predicted and measured pier scour depth, as well as the probability that a deterministically predicted pier scour depth will be exceeded. These databases also were used to provide the bias factors in current predictions. Secondly, these statistical parameters were used to develop a reliability-based load and resistance factor design for shallow and deep foundations subjected to scour. The goal was to provide a design procedure where the reliability of the foundation is the same with or without scour. Reliability only addresses the probability of success and, therefore, of failure. Finally, the discussion was broadened by using the concept of risk defined as the probability of failure times the value of the consequences. In this third part, the risk associated with bridge scour was quantified and compared to risks associated with other engineering structures. Target values of acceptable risk were recommended as part of the conclusions.
publisherAmerican Society of Civil Engineers
titleStatistical, Risk, and Reliability Analyses of Bridge Scour
typeJournal Paper
journal volume140
journal issue2
journal titleJournal of Geotechnical and Geoenvironmental Engineering
identifier doi10.1061/(ASCE)GT.1943-5606.0000989
treeJournal of Geotechnical and Geoenvironmental Engineering:;2014:;Volume ( 140 ):;issue: 002
contenttypeFulltext


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