{"title":"Numerical study of flow characteristics over a compound rectangular weir","authors":"Junaid Amin , Kashif Mehmood , Usman Ghani","doi":"10.1016/j.flowmeasinst.2025.102835","DOIUrl":null,"url":null,"abstract":"<div><div>This numerical study presents discharge prediction on range of upstream head levels over a compound rectangular broad crested weir (CR-BCW). The computational domain was built in Ansys workbench, while 3D simulation and postprocessing were performed in CFD based tool Fluent using volume of fluid (VOF) method. Two turbulence models, the Re-Normalization Group (RNG) K-ε and the Shear Stress Transport (SST) K-ω, were considered to check their capability for flow prediction under different upstream head levels. The calculated numerical results initially compared with the published experimental data. The Root Mean Square Error (RMSE) and the Mean Absolute Percent Error (MAPE) were used to check the accuracy of the numerical results. The findings demonstrate that the SST K- ω model presents better agreement with experimental data, indicating its optimal performance for simulating flow characteristics and predicting discharge over the CR-BCW model. This study does not only validate the SST K- ω model's effectiveness, but also highlights the sensitivity of hydraulic parameters to the choice of turbulence model, thus contributing valuable insights for the design and analysis of hydraulic structures.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"102 ","pages":"Article 102835"},"PeriodicalIF":2.3000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Flow Measurement and Instrumentation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0955598625000275","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This numerical study presents discharge prediction on range of upstream head levels over a compound rectangular broad crested weir (CR-BCW). The computational domain was built in Ansys workbench, while 3D simulation and postprocessing were performed in CFD based tool Fluent using volume of fluid (VOF) method. Two turbulence models, the Re-Normalization Group (RNG) K-ε and the Shear Stress Transport (SST) K-ω, were considered to check their capability for flow prediction under different upstream head levels. The calculated numerical results initially compared with the published experimental data. The Root Mean Square Error (RMSE) and the Mean Absolute Percent Error (MAPE) were used to check the accuracy of the numerical results. The findings demonstrate that the SST K- ω model presents better agreement with experimental data, indicating its optimal performance for simulating flow characteristics and predicting discharge over the CR-BCW model. This study does not only validate the SST K- ω model's effectiveness, but also highlights the sensitivity of hydraulic parameters to the choice of turbulence model, thus contributing valuable insights for the design and analysis of hydraulic structures.
期刊介绍:
Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions.
FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest:
Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible.
Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems.
Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories.
Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.