A Comprehensive Method of Calculating Maximum Bridge Scour Depth
نویسندگان
چکیده
منابع مشابه
Predicting Bridge Pier Scour Depth with SVM
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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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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.................................................................................................................. ii ACKNOWLEDGEMENTS ............................................................................................iv LIST OF TABLES ...................................................................................................... viii LIST OF FIGURES ...............................
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Mohammad Muzzammil Department of Civil Engineering, AMU, Aligarh, UP 202002, India E-mail: [email protected] An accurate estimation of the maximum possible scour depth at bridge abutments is of paramount importance in decision-making for the safe abutment foundation depth and also for the degree of scour counter-measure to be implemented against excessive scouring. Despite analysis of...
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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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ژورنال
عنوان ژورنال: Water
سال: 2018
ISSN: 2073-4441
DOI: 10.3390/w10111572