Abbas Parsaie, Mahziar BasitNejad, Mohammad Bahrami-Yarahmadi
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引用次数: 0
Abstract
Sharp-crested weirs are commonly used for flow measurement in confined channels and low-velocity hydraulic systems, where the head-discharge relationship (H-Q) and discharge coefficient (Cd) are vital for performance assessment. While deriving the H-Q equation analytically involves integrating the velocity profile across the weir's flow section, complex geometries like semi-elliptical weirs introduce elliptic integrals that need numerical solutions. This study introduces a computational framework using Simpson's numerical integration (implemented in Python via Google Colab) to analyze the H-Q relationship for semi-elliptical sharp-crested weirs (SCSCWs). The calibrated model showed an average deviation of 10.2 % from experimental data, indicating acceptable predictive accuracy. Results indicate Cd values between 1.5 and 2.2 for relative heads (H/P = 0.1–0.8), with orientation-dependent trends: horizontal major axis (HMA) configurations show increasing Cd with head, while vertical major axis (VMA) configurations display decreasing Cd. Two orientation-specific regression models were developed and validated against laboratory data, achieving ∼4 % accuracy for HMA and ∼13 % for VMA.
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.