Search published articles


Showing 2 results for Shields Parameter

H. Afzalimehr,
Volume 5, Issue 3 (10-2001)
Abstract

Over the past decades, numerous regime formulations, describing channel width, average flow depth and channel slope, have been proposed for gravel-bed rivers. Using the downstream hydraulic geometry measurements from 280 field channels, nine gravel-bed predictive formulations were compared. They are attributed to Bray, Chang, Hey and Thorne, Kellerhals, Neil, Parker and Simons, and Albertson. The comparison showed that the dominant discharge and the median grain size are not sufficient hydraulic variables to predict the channel geometry (width, depth, and especially channel slope). Seeking more complex formulations with the measured parameters, it was not possible to improve the existing formulations significantly without spurious influences of common variables.

 A second database is thus gathered from 19 laboratory-based boundary-layer measurements published in Kironoto and Graf (13) and Song et al. (19). In fact, the boundary-layer theory will respond to a fundamental question: are the existing available variables in literature not sufficient or the methods of their estimations are not appropriate? Based on the present study, the methods of their estimations should be changed. The second database allows proving the usefulness of the Shields parameter for the prediction of average flow depth and channel slope. Hence, using boundary-layer theory for prediction of Shields parameter and stable channel parameters is recommended.


M. Pourmirza, A. Kamanbedast,
Volume 23, Issue 4 (12-2019)
Abstract

Occurrence of local scour is one of the most significant causes of damage to the pipes. Therefore, safe and economical design of pipes in the flow path requires a good estimate. In this study, based on the important and effective parameters in the scouring phenomenon, in order to develop educational patterns according to the data obtained in the laboratory of Ahvaz Islamic Azad University, models based on artificial neural networks were created with the NeuroSolution5 software. MLP, GFF and RBF were the models used in this study; after comparing, MLP was selected as the basis for our study. Finally, the effect of each parameter on scouring was determined using the  artificial neural networks technique, based on which the  shields parameter with a very high effect (more than 95 percent) was determined as one of the most effective causes of the local scour.


Page 1 from 1     

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb