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Estimation of Current-Induced Scour Depth around Pile Groups Using Neural Network and Adaptive Neuro-Fuzzy Inference System
in bridge design. Although many studies have been carried out to develop relationships for the maximum scour depth at pile groups under clear-water scour condition, existing methods do not always produce reasonable results for scour predictions. It is partly...
Artificial Neural Network Modeling to Predict Complex Bridge Pier Scour Depth
Flow mechanism around a bridge pier is complicated and difficult to present a general model to provide a good prediction of scour depth. Geotechnical and economical parameters govern design of complex bridge pier design. The interaction between flow...
Scour hole depth prediction around pile groups: review, comparison of existing methods, and proposition of a new approach
the temporal variation of the SHD around different PGs. Among the datasets, 51 long-duration experiments are scrutinized to show the temporal variation of scour depth toward equilibrium state. The time duration for these tests is up to 16 days. The proposed Kt...
Evaluation of Harmony Search Optimization to Predict Local Scour Depth around Complex Bridge Piers
One of the main causes of bridge collapse may be flood flow scour near piers. Several experimental and local field investigations were carried out to study scour depth. However, existing empirical equations do not commonly provide accurate scour...
Local Scour Depth Estimation around Complex Bridge Pier
Despite of numerous empirical formulas have been presented to estimate equilibrium scour depth around complex bridge piers, there may no general formula that satisfies all conditions. It may happened because, existing equation are based...