Scour Prediction at Bridge Piers in Cohesive Bed Using Gene Expression Programming
نویسندگان
چکیده
منابع مشابه
Prediction of Scour Depth at Bridge Abutments in Cohesive Bed Using Gene Expression Programming
The scour modelling in cohesive beds is relatively more complex than that in sandy beds and thus there is limited number of studies available on local scour at bridge abutments on cohesive sediment. Recently, a good progress has been made in the development of data-driven techniques based on artificial intelligence (AI). It has been reported that AI-based inductive modelling techniques are freq...
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A reliable prognostics framework is essential to prevent catastrophic failure of bridges due to scour. In the U.S., scour accounts for almost 60% of bridge failures. Currently available techniques in the literature for predicting scour are mostly based on empirical equations and deterministic regression models, like Neural Networks and Support Vector Machines, and do not predict the evolution o...
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Failure of the bridges due to local scour around their piers can cause serious life losses and property damages and create significant environmental problems. In this experimental study, scour hole geometry around circular bridge piers were investigated. The experiments were carried out in a rectangular flume 80 cm wide, 18.6 m long and 75 cm high by using uniform sediment with a median diamete...
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ژورنال
عنوان ژورنال: Aquatic Procedia
سال: 2015
ISSN: 2214-241X
DOI: 10.1016/j.aqpro.2015.02.098