ANFIS approach to the scour depth prediction at a bridge abutment

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ANFIS approach to the scour depth prediction at a bridge abutment

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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An assessment of maximum scour depth downstream of grade control structure is essential for its proper planning, design and management. Most of the scour depth prediction formulae available in the literature have been developed based on the analysis of the laboratory/field data using the statistical method such as the regression method (RM). The alternative recent approaches such as artificial ...

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Genetic Programming for Prediction of Local Scour at Vertical Bridge Abutment

Local scour around bridge abutment is a common problem encountered worldwide. Extensive laboratory and field studies have been carried out in this field and the equations derived so far are applicable to particular circumstances only. This paper presents an alternative to the empirical equations for Prediction of Local Scour at Vertical Bridge Abutment in the form of genetic programming (GP). T...

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Prediction of scour depth around bridge piers using Gaussian process

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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ژورنال

عنوان ژورنال: Journal of Hydroinformatics

سال: 2010

ISSN: 1464-7141,1465-1734

DOI: 10.2166/hydro.2010.004