[PDF][PDF] A comparison of artificial intelligence approaches in predicting discharge coefficient of streamlined weirs
A Gharehbaghi, R Ghasemlounia… - Journal of …, 2023 - iwaponline.com
In the present research, three different data-driven models (DDMs) are developed to predict
the discharge coefficient of streamlined weirs (C dstw). Some machine-learning methods …
the discharge coefficient of streamlined weirs (C dstw). Some machine-learning methods …
A novel IBAS-ELM model for prediction of water levels in front of pumping stations
P Yan, Z Zhang, Q Hou, X Lei, Y Liu, H Wang - Journal of Hydrology, 2023 - Elsevier
It is necessary but difficult to accurately predict the water levels in front of pumping stations of
an open-channel water transfer project because of the complex interactions among …
an open-channel water transfer project because of the complex interactions among …
Numerical simulation and application of soft computing in estimating vertical drop energy dissipation with horizontal serrated edge
M Bagherzadeh, F Mousavi, M Manafpour… - Water …, 2022 - iwaponline.com
In the present study, FLOW-3D software was used to simulate energy dissipation by a
serrated-edge drop, downstream of this structure. For this purpose, 2, 3, and 4 serrations …
serrated-edge drop, downstream of this structure. For this purpose, 2, 3, and 4 serrations …
Application of soft computing techniques to estimate the scouring depth formed by crossing jets
The scouring depth caused by the water jet outputs from a dam is one of the crucial
parameters for design purposes. Due to the importance of the subject, several laboratory …
parameters for design purposes. Due to the importance of the subject, several laboratory …
An investigation on hydraulic aspects of rectangular labyrinth pool and weir fishway using FLOW-3D
P Mirkhorli, A Ghaderi, F Alizadeh Sanami… - Arabian Journal for …, 2024 - Springer
Two different arrangements of the weir (ie, straight weir and rectangular labyrinth weir) were
used to evaluate the effects of geometric parameters such as weir shape, weir spacing …
used to evaluate the effects of geometric parameters such as weir shape, weir spacing …
Investigating the characteristic of hydraulic T-jump on rough bed based on experimental and numerical modeling
E Khanahmadi, AA Dehghani, MM Halaghi… - Modeling Earth Systems …, 2022 - Springer
Hydraulic jumps are recognized as inevitable phenomena that form when the supercritical
flow induced by hydraulic structures transmits to the subcritical downstream flow. One of the …
flow induced by hydraulic structures transmits to the subcritical downstream flow. One of the …
Experimental and numerical investigation on hydraulic performance of slit-check dams in subcritical flow condition
Slit-check dams have a flow regulation function under normal flow conditions as well as
holding large solid (debris flow control). However, the effects of such structures on flow …
holding large solid (debris flow control). However, the effects of such structures on flow …
A performance comparison of the meta model methods for discharge coefficient prediction of labyrinth weirs
Weirs are hydraulic structures with various applications, such as flow measurement, flow
diverting, and/or flow control. Labyrinth weir as a nonlinear weir with a folded crest …
diverting, and/or flow control. Labyrinth weir as a nonlinear weir with a folded crest …
Numerical simulation of free and submerged hydraulic jump over trapezoidal and triangular macroroughness
HK Jayant, B Jhamnani - Heliyon, 2023 - cell.com
Hydraulic jump is a phenomenon that occurs in open channel flow and has wide utility in
hydraulic engineering. The present study considered macroroughness features in the bed to …
hydraulic engineering. The present study considered macroroughness features in the bed to …
[HTML][HTML] Application of GEP, M5-TREE, ANFIS, and MARS for predicting scour depth in live bed conditions around bridge piers
S Shalini, T Roshni - Journal of Soft Computing in Civil Engineering, 2023 - jsoftcivil.com
This paper presents the use of data-driven models, namely Gene expression programming
(GEP), M5 model tree (M5-TREE), Multivariate adaptive regression spline (MARS), and …
(GEP), M5 model tree (M5-TREE), Multivariate adaptive regression spline (MARS), and …