New stochastic modeling strategy on the prediction enhancement of pier scour depth in cohesive bed materials
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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Prediction of maximum local scour is necessary for the safety and economical design of the bridges. A number of equations have been developed over the years to predict local scour depth using laboratory data and a few pier equations have also been proposed using field data. Most of these equations are empirical in nature as indicated by the past publications. In this paper attempts have been ma...
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15 صفحه اولPrediction of Bridge Pier Scour Using Genetic Programming
This paper presents the use of genetic programming (GP) as a tool to predict pier scour depths based on clear-water conditions of laboratory measurements by past researchers. Four main dimensionless parameterspier width, approaching flow depth, threshold flow velocity, and channel open-ratio are considered for predicting the scour depth. The performance of the GP equation is verified by compa...
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ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2020
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2020.047