A review of studies on estimating the discharge coefficient of flow control structures based on the soft computing models

M Haghbin, A Sharafati - Flow Measurement and Instrumentation, 2022 - Elsevier
The discharge coefficient (Cd) plays a vital role in the accurate design and safety of weirs,
spillways, and dams. In the last decade, Soft Computing (SC) models, which showed …

Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure

F Salazar, MA Hariri-Ardebili - Engineering Structures, 2022 - Elsevier
Probabilistic analyses facilitate the incorporation of inherent uncertainties in dam safety
evaluation. Their application is limited due to the high computational burden, especially for …

[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 …

A review of hydraulic performance and design methods of labyrinth weirs

AK Idrees, R Al-Ameri - Water Supply, 2022 - iwaponline.com
Labyrinth weirs are complex hydraulic structures. They have been widely used as a water
regulator and to increase discharge in channels and spillway dams. Labyrinth weirs are an …

Comparative study on the machine learning and regression-based approaches to predict the hydraulic jump sequent depth ratio

S Baharvand, A Jozaghi, R Fatahi-Alkouhi… - Iranian Journal of …, 2021 - Springer
The hydraulic jump phenomenon plays a significant role in dissipating the energy of the
upstream current in either natural or artificial waterways. River's bed roughness is defined as …

Anomaly detection in dam behaviour with machine learning classification models

F Salazar, A Conde, J Irazábal, DJ Vicente - Water, 2021 - mdpi.com
Dam safety assessment is typically made by comparison between the outcome of some
predictive model and measured monitoring data. This is done separately for each response …

Development of ANN model for the prediction of discharge coefficient of an arced labyrinth side weir

F Ahmad, A Hussain, MA Ansari - Modeling Earth Systems and …, 2023 - Springer
Side weirs, referred to as lateral weirs, are flow diversion hydraulic structures frequently
used in canal systems, irrigation-drainage systems, and urban sewage systems as a head …

A novel approach using CFD and neuro-fuzzy-firefly algorithm in predicting labyrinth weir discharge coefficient

S Shafiei, M Najarchi, S Shabanlou - Journal of the Brazilian Society of …, 2020 - Springer
In this paper, for the first time, to model the discharge coefficient of labyrinth weirs, the
evolutionary firefly algorithm (FFA) is used for optimizing the membership functions of the …

A machine learning-based surrogate model for the identification of risk zones due to off-stream reservoir failure

N Silva-Cancino, F Salazar, M Sanz-Ramos, E Bladé - Water, 2022 - mdpi.com
Approximately 70,000 Spanish off-stream reservoirs, many of them irrigation ponds, need to
be evaluated in terms of their potential hazard to comply with the new national Regulation of …

Multi-objective reliability-based optimization for design of trapezoidal labyrinth weirs

S Ohadi, J Jafari-Asl - Flow Measurement and Instrumentation, 2021 - Elsevier
In the present research, the reliability-based design optimization (RBDO) of labyrinth weirs
has been investigated. The optimization problem is formulated such that the optimal shape …