Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model

Publisher:
Elsevier
Publication Type:
Journal Article
Citation:
Applied Soft Computing, 2012, 12 (1), pp. 486 - 493
Issue Date:
2012-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011000685OK.pdfPublished Version1.82 MB
Adobe PDF
In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used to model local scouring depth and pattern scouring around concave and convex arch shaped circular bed sills. The experimental part of this research study includes seven sets of laboratory test cases which were performed in an experimental flume under different flow conditions. A data set consists of 2754 data points of scouring depth were collected to use in the ANFIS model. The ratio of arch diameter, D, to flume width, W, is used as a non dimensional variables in all test cases. The results from ANFIS model were compared with the results of ANN model obtained by Homayoon et al. [24] and previously presented models. The results indicated that for D/W equal to 1 and 1.2, the ANFIS models produced a good performance for convex and concave bed sills. As a result, the ANFIS models can be used as an alternative to ANN for estimation of scour depth and scour pattern around a concave bed sill installed with a bridge pier.
Please use this identifier to cite or link to this item: