Scour Prediction around Bridge Pier without and with Collar using ANFIS

A modeling tool based on Adaptive Network-based Fuzzy Inference System (ANFIS) to predict the scour depth around bridge piers with and without collars is presented in this paper. The input parameters that affect the scour phenomena are average flow velocity, critical threshold velocity of sediment movement, flow depth, median particle diameter, geometric standard deviation, un-contracted and contracted channel widths. Experimental data collected during the present study and available in the literature are used in the training and testing stages of the models. A sensitivity analysis determined the most important parameters in predicting the scour depth around bridge piers with collars. ANFIS?s results were found to be accurate, precise and satisfactory and thus can be used as analysis and design tool.