Comparative evaluation of CFD model and intelligence hybrid method to ameliorate ANFIS in side weir coefficient of discharge modelling

Mohammadmehdi Razmi; Mojtaba Saneie; Shamsa Basirat

Volume 9, Issue 2 , December 2022, , Pages 125-140

https://doi.org/10.22126/arww.2023.7934.1255

Abstract
  In this paper, the ANFIS network was optimized using three algorithms comprising the Particle Swarm Optimization (PSO), Firefly Algorithm (FFA), and Genetic algorithm (GA) for the first time. To ameliorate the ability of the numerical models,the Monte Carlo simulations were utilized. Moreover, in order ...  Read More

Determination of discharge coefficient in the tilted crown sharp-crested weirs

Salma Ajeel Fenjan; Ali Akbar Akhtari; Mohammad Hadi Tavana

Volume 9, Issue 2 , December 2022, , Pages 180-186

https://doi.org/10.22126/arww.2023.8123.1264

Abstract
  In this study, the performance of vertical and tilted crown weirs with different angles of the weir crest across the flow has been investigated using numerical and experimental models. Accordingly, various experiments are conducted on tilted crown sharp-crested weirs under different free-flow conditions. ...  Read More

Combination of neuro-fuzzy network and genetic algorithm for estimating discharge capacity of triangular in plan weirs

Ali Azizpor; Ahmad Rajabi; Fariborz Yosefvand; Saeid Shabanlou

Volume 8, Issue 1 , June 2021, , Pages 1-6

https://doi.org/10.22126/arww.2020.5269.1169

Abstract
  In the current study, a new hybrid of the genetic algorithm (GA) and adaptive Neuro-fuzzy inference system (ANFIS) was introduced to model the discharge coefficient (DC) of triangular weirs. The genetic algorithm was implemented for increasing the efficiency of ANFIS by adjusting membership functions ...  Read More

Sensitizing influenced factors on discharge of labyrinth weirs using ANFIS model

Mohammad Ali Izadbakhsh; Reza Hajiabadi

Volume 7, Issue 1 , June 2020, , Pages 1-13

https://doi.org/10.22126/arww.2020.4578.1146

Abstract
  In the article, through the adaptive neuro-fuzzy inference system (ANFIS), a sensitivity analysis is conducted on the variables affecting the discharge capacity of the weir. To this end, the variables affecting the discharge capacity of labyrinth weirs are initially identified. Then, using these input ...  Read More

Modeling discharge coefficient of triangular plan form weirs using extreme learning machine

Ehsan Yarmohammadi; Fariborz Yosefvand; Ahmad Rajabi; Saeid Shabanlou

Volume 6, Issue 2 , July 2019, , Pages 80-87

https://doi.org/10.22126/arww.2019.1356

Abstract
  In this paper, for the first time, the discharge coefficient of triangular plan form weirs is simulated by the extreme learning machine (ELM). ELM is one of the powerful and rapid artificial intelligence methods in modeling complex and non-linear phenomena. Compared to other learning algorithms such ...  Read More

Predicting the discharge coefficient of triangular plan form weirs using radian basis function and M5’ methods

Azam Akhbari; Amir Hossein Zaji; Hamed Azimi; Mohsen Vafaeifard

Volume 4, Issue 1 , June 2017, , Pages 281-289

https://doi.org/10.22126/arww.2017.767

Abstract
  Weirs are installed on open channels to adjust and measure the flow. Also, discharge coefficient is considered as the most important hydraulic parameter of a weir. In this study, using the Radial Base Neural Networks (RBNN) and M5' methods, the discharge coefficient of triangular plan form weirs is modeled. ...  Read More