Numerical and sensitivity analysis of hydraulic characteristics of triangular labyrinth side weir

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2024-09-03 DOI:10.1016/j.flowmeasinst.2024.102686

Guiying Shen , Dingye Cao , Shanshan Li , Guodong Li

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引用次数: 0

Abstract

Triangular labyrinth side weirs have significantly more discharge capacity than traditional nonlinear weirs, and the complex hydraulic parameter interaction mechanism has been the research focus. This study used Computational Fluid Dynamics (CFD) to analyze the side weir's flow characteristics. Then, the Bayesian optimization algorithm and Extreme Learning Machine (BELM) developed a prediction model for the side weir's discharge coefficient. Finally, Sobol's method performed a sensitivity analysis for hydraulic parameters. The results show that the main channel's streamline is evenly distributed and begins to shift when it is close to the side weir. The overflow front is increasing and secondary flow also increases. BELM's Mean Absolute Percentage Error and Root Mean Square Error are 8.793 % and 0.455 in the testing stage, respectively, declined by about 56.24 % and 32.29 % compared with ELM; Froude number F_r, weir crest angle θ and the ratio of overflow front length to weir head l/h₁ are the most critical hydraulic parameters affecting the discharge coefficient, the global sensitivity coefficients are 0.4393, 0.4218 and 0.4152, respectively.

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三角迷宫边堰水力特性的数值和敏感性分析

与传统的非线性堰相比，三角迷宫式边堰的泄流能力要大得多，其复杂的水力参数相互作用机制一直是研究的重点。本研究采用计算流体动力学（CFD）分析了边堰的流动特性。然后，贝叶斯优化算法和极限学习机（BELM）建立了侧堰排流系数预测模型。最后，Sobol 方法对水力参数进行了敏感性分析。结果表明，主河道的流线分布均匀，在靠近边堰时开始移动。溢流前沿在增加，次级流量也在增加。在试验阶段，BELM 的平均绝对百分误差和均方根误差分别为 8.793 % 和 0.455，与 ELM 相比分别下降了约 56.24 % 和 32.29 %；Froude 数 Fr、堰顶角 θ 和溢流前沿长度与堰顶水头之比 l/h1 是影响排泄系数的最关键水力参数，其全局灵敏度系数分别为 0.4393、0.4218 和 0.4152。

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来源期刊

Flow Measurement and Instrumentation 工程技术-工程：机械

CiteScore

4.30

自引率

13.60%

发文量

123

审稿时长

6 months

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.