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Determining discharge coefficient of labyrinth and arced labyrinth weirs using support vector machine

机译:用支持向量机确定迷宫和弧形迷宫堰的排放系数。

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A labyrinth weir is a linear weir folded in plan-view which increases the crest length and the flow rate for a given channel width and an upstream flow depth. The present study aimed at determining discharge coefficients of labyrinth and arced labyrinth weirs using support vector machine (SVM)-based models. A total of 527 laboratory test data of four types of weirs, namely, Normal and Inverted orientation Labyrinth Weirs in flume (NLW, ILW) and Arced Labyrinth Weirs with and without nappe Breakers in reservoir (ALW, ALWB), were captured from the published literature and utilized to feed the SVM-based models. The obtained results revealed the capability of the SVM-based models in determining discharge coefficients. The results showed that the SVM-based model of arced labyrinth weir (ALW) produced the most accurate results when three dimensionless parameters, e.g. ( H_(T) / P ) head water ratio, ( α / θ ) angle ratio and ( L_(c) / W ) magnification ratio, were introduced as input parameters (Root mean square error [RMSE] = 0.013 and R~(2) = 0.970 for the test stage). Nonetheless, sensitivity analysis showed that Froude number and head water ratio are the most influential parameters on discharge coefficients of the labyrinth and arced labyrinth weirs, respectively.
机译:迷宫堰是在平面图中折叠的线性堰,对于给定的通道宽度和上游流动深度,其增加了波峰长度和流速。本研究旨在使用基于支持向量机(SVM)的模型确定迷宫和弧形迷宫堰的排放系数。从已出版的出版物中总共捕获了527种四种堰的实验室测试数据,分别是水槽中的正常和倒置迷宫堰(NLW,ILW)和水库中装有和不装有推土器的弧形迷宫堰(ALW,ALWB)。文献,并用于提供基于SVM的模型。获得的结果揭示了基于SVM的模型确定排放系数的能力。结果表明,当三个无量纲参数(例如)等于3时,基于SVM的弧形迷宫堰(ALW)模型产生的结果最准确。引入(H_(T)/ P)头水比,(α/θ)角比和(L_(c)/ W)放大比作为输入参数(均方根误差[RMSE] = 0.013和R〜( 2)= 0.970(测试阶段)。尽管如此,敏感性分析表明,弗洛德数和水头比分别是对迷宫堰和弧形迷宫堰的排放系数影响最大的参数。

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