Discharge coefficient of oblique sharp crested weir for free and submerged flow using trained ANN model

Abstract

In the present study, ANN models have been developed to predict the discharge coefficients of oblique sharp-crested weirs for free and submerged flow cases using Borghei et al.'s experimental data. The discharge coefficients predicted by ANN models are then used to predict the discharges. The results so obtained are compared with the traditional regression model analysis performed by Borghei et al. (2003) in which the prediction error in the discharge was found within the range of ±5%. On the other hand, the developed ANN models predict the discharge coefficients as well as discharges within the error range of ±1%. Furthermore, sensitivity analysis of developed ANN models have been carried out for all the parameters (weir height, oblique weir length, head over weir and downstream head over weir) involved in the study and it was found that the weir length (L) is the most and weir height (P) is the least sensitive input variable to ANN-1 model. In the case of ANN-2 model, weir length (L) is the most and downstream head over weir (H d) is the least sensitive input variable.

Numerical method and program for computing inlet flow distribution in sedimentation tanks

“…Neural network approaches can be carried out to determine the discharge coefficient as a function of several relevant variables through a model developed using neural networks. This has been demonstrated by Ayaz and Mansoor [29].…”

VertCalc: software hidráulico para dimensionamento de vertedores de parede delgada e estimativa de vazão

“…Como a Equação de Bernoulli preconiza escoamento ideal, as dissipações de energia são desprezadas, o que não corresponde fidedignamente à realidade. Desta forma, é necessário o incremento do coeficiente de descarga (Cd), também conhecido como coeficiente de vazão, Research, Society and Development, v. 9, n. 11, e76991110444, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i11.10444 cujos valores adimensionais variam entre 0 e 1 e são objeto de estudos específicos, conforme a geometria do vertedor utilizado e é influenciado pelas características do escoamento e por uma série de fenômenos físicos, como atrito, tensão superficial, distribuição de pressão, presença de contrações laterais e perfil de velocidade (Arvanaghi & Oskuei, 2013;Ayaz, & Mansoor, 2018;Ionescu et al, 2019;Johnson, 2000).…”