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Determination of important flow characteristics for leak detection in water pipelines-networks

机译:确定输水管道网络中重要的流量特性

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The accuracy of a leak detection method depends greatly on the flow and leak parameters in a given pipeline. This paper gives some insight into the flow characteristics around simulated small leaks. The present computational fluid dynamics (CFD) studies have indicated clear distinctive features in fluid pressure and fluid acceleration that can be used for the early detection of small leaks (<1% of the total flow) in water distribution pipelines. The present CFD simulations based on a steady state standard k - ε turbulent flow model are carried out for different pressure lines in 4 in. (100 m) ID pipe. Based on these simulations, it has been found out that the pressure gradients in the vicinity of the leaks are quite large, hence a leak detection method based on pressure gradient measurement is proposed. In addition, these simulations have shown remarkable gradients in the axial flow acceleration along the centerline of the pipe. These discovered flow features can offer another leak detection method based on the use of accelerometers.
机译:泄漏检测方法的准确性很大程度上取决于给定管道中的流量和泄漏参数。本文对模拟的小泄漏周围的流动特性提供了一些见解。当前的计算流体动力学(CFD)研究表明,流体压力和流体加速度具有明显的鲜明特征,可用于及早发现配水管道中的小泄漏(小于总流量的1%)。当前的CFD模拟基于稳态标准k-ε湍流模型,针对4英寸(100 m)内径管道中的不同压力管线进行。基于这些模拟,发现泄漏附近的压力梯度很大,因此提出了一种基于压力梯度测量的泄漏检测方法。此外,这些模拟还显示了沿管道中心线的轴向流动加速度的明显梯度。这些发现的流量特征可提供基于加速度计使用的另一种泄漏检测方法。

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