Numerical study of bed slope change effect of circular channel with side weir in supercritical flow conditions

Azimi, Hamed; Shabanlou, Saeid

doi:10.1007/s13201-018-0816-5

Cited by 8 publications

(4 citation statements)

References 36 publications

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“…The literature extensively records the broad efficacy of machine learning techniques in modeling hydraulic issues, particularly in forecasting the discharge coefficient of different types of weirs. This success has been evidenced in several researches [35][36][37][38][39][40]. Machine learning methods provide a combination of high precision and effectiveness in predicting discharge coefficients.…”

Section: Introductionmentioning

confidence: 95%

Hydraulic Behavior of Weir-Gate Structure with Rectangular Side Obstacle under Free and Submerged Flow Conditions

Qasim,

Dawood

2023

I2M

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This research examines the behavior of a weir-gate hydraulic structure when subjected to the presence or absence of a side obstacle. The study focuses on two scenarios, free flow and submerged flow, and employs a side obstacle with dimensions of 15 cm in height, 30 cm in length, and 1 cm in thickness, located 30 cm downstream from the weir-gate structure. A correlation matrix is derived using measured and calculated data to establish the relationship between various variables, both dimensional and non-dimensional. The results show a clear correlation between Froude number and discharge coefficient, while a random trend is observed between discharge coefficient and Reynolds number. A proper trend is found between Reynolds number and Froude number at the downstream location. The discharge coefficient is significantly influenced by factors such as gate water depth, weir water head, and vertical distance between the weir and gate. Additionally, the study investigates the effect of average water depth at the downstream on discharge and flow velocity. Two models, linear regression and artificial neural network, are developed and tested to estimate the coefficient of discharge (Cd). The ANN model proves to be the best-fit model for all scenarios, with an MSE of 0.00013141 and an R-squared value of 0.99. The machine learning algorithms used in this study demonstrate an increase in prediction accuracy for Cd.

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Section: Introductionmentioning

confidence: 95%

Hydraulic Behavior of Weir-Gate Structure with Rectangular Side Obstacle under Free and Submerged Flow Conditions

Qasim,

Dawood

2023

I2M

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“…Simulation results were successfully validated with the help of experimental results, relative errors of the water levels being in the range of 2÷5%. For other 3D numerical studies, the ANSYS Fluent code [15], [16], and Flow 3D software [17], [31], [32] were mainly used to simulate the spatially-varied flow over the side weir, under different conditions.…”

Section: State Of the Art In Experiments And Numerical Simulationsmentioning

confidence: 99%

Numerical simulations of flow over a side weir for diversion structures and water intakes

Nistoran

Simionescu

Circiumaru

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Side weirs are hydraulic structures used to divert the excess flow from a main channel into a lateral one at diversion structures or intakes, in order to control the water surface elevation or reroute part of the discharge. Flow over a side weir is considered to be a typical case of spatially varied flow, with decreasing discharge along the main channel and varying water surface elevation along the lateral crest. The objective of the paper is to apply various numerical modelling approximations (1D, 2D and 3D) using HEC-RAS and ANSYS Fluent software to virtually reproduce the flow characteristics over the side weir along the diversion canal of the Valea Iasului hydropower plant (HPP), on Argeş River (Romania). Different geometries, mesh types and sizes and the appropriate initial and boundary conditions are used for two HPP operating scenarios (fully functional and completely shut down). The water surface elevation profile along the weir crest is computed, together with a qualitative comparison between the shape of the simulated flow nappe and in-situ visualizations. Quantitative results from the numerical simulation cases are given in terms of the computed upstream and downstream weir rating curves.

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“…Besides, Akhbari et al (2017) applied the radial base neural networks (RBNN) and M5' approaches to model discharge coefficient of triangular weirs in a rectangular conduit. Azimi and Shabanlou (2018) simulated the flow turbulence and water surface nearby a side weir on circular channels in supercritical flow regime through renormalization group (RNG) k-e turbulence model and volume of fluid (VOF) method. By using support vector machine (SVM), discharge coefficients of side weirs installed on trapezoidal channels were modeled by Azimi et al (2019).…”

Section: Introductionmentioning

confidence: 99%

Simulation of discharge coefficient of side weirs placed on convergent canals using modern self-adaptive extreme learning machine

et al. 2020

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Side weirs are broadly used in irrigation channels, drainage systems and sewage disposal canals for controlling and adjusting the flow in main channels. In this study, a new artificial intelligence model entitled "self-adaptive extreme learning machine" (SAELM) is developed for simulating the discharge coefficient of side weirs located upon rectangular channels. Also, the Monte Carlo simulations are implemented for assessing the abilities of the numerical models. It should be noted that the k-fold crossvalidation approach is used for validating the results obtained from the numerical models. Based on the parameters affecting the discharge coefficient, six artificial intelligence models are defined. The examination of the numerical models exhibits that such models simulate the discharge coefficient valued with acceptable accuracy. For instance, mean absolute error and root mean square error for the superior model are computed 0.022 and 0.027, respectively. The best SAELM model predicts the discharge coefficient values in terms of Froude number (F d), ratio of the side weir height to the downstream depth (w/h d), ratio of the channel width at downstream to the downstream depth (b d /h d) and ratio of the side weir length to the downstream depth (L/h d). Based on the sensitivity analysis results, the Froude number of the side weir downstream is identified as the most influencing input parameter. Lastly, a matrix is presented to estimate the discharge coefficient of side weirs on convergent channels.

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Numerical study of bed slope change effect of circular channel with side weir in supercritical flow conditions

Cited by 8 publications

References 36 publications

Hydraulic Behavior of Weir-Gate Structure with Rectangular Side Obstacle under Free and Submerged Flow Conditions

Hydraulic Behavior of Weir-Gate Structure with Rectangular Side Obstacle under Free and Submerged Flow Conditions

Numerical simulations of flow over a side weir for diversion structures and water intakes

Simulation of discharge coefficient of side weirs placed on convergent canals using modern self-adaptive extreme learning machine

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