Numerical method for identifying the flow model in the line pipe

V. Zholobov
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Abstract

With high availability of measuring tools and wide opportunities of modern computer technology, the existing methods of predictive estimations of hydraulic parameters for the fluids’ pipeline transport seem to be too approximate. Due to this, it is relevant to adapt the most accurate relationships available in the scientific and technical literature to real conditions. Based on the review of analytical solutions for calculating friction losses in the pressure lines, the structure of relationships most accurately reflecting the experimental data of I. Nikuradze is determined, where the hydraulic drag coefficient ? is described by the piecewise-continuous relations, given by O. M. Ayvazyan. The hydraulic drag coefficient structural relationship shall be selected with the highest capability to summarize the experimental data available in the scientific and technical literature. Using the pressure measurement data, free parameters included in the selected relationship for the hydraulic drag coefficient shall be identified. The numerical computation algorithm is proposed that enables to recover the values of parameters in the structural relationship of hydraulic drag coefficient ? through multiple application of the well-known method of sensitivity functions and pressure measurement data in the line pipe. The procedure is described for generating the computing system of ordinary differential equations that enables for every fixed set of experimental data (pressure and flow rate) to determine (or correct, if necessary) the corresponding parameters in the unified structural relationship for hydraulic drag coefficient ?. The feature of the proposed algorithm is the absence of embedded cycles. Dynamic control of variable parameters in the hydraulic drag coefficient ? based upon the proposed approach enables to improve the predictive estimations accuracy of flow parameters while pumping fluids and to acquire additional data on the state of the fluids filling the inner pipeline space.
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一种识别管道内流动模式的数值方法
随着测量工具的高度可用性和现代计算机技术的广泛应用,现有的流体管道输送水力参数预测估计方法似乎过于近似。因此,将科学和技术文献中最准确的关系适用于实际情况是相关的。基于对计算压力线摩擦损失的解析解的回顾,确定了最准确地反映I. Nikuradze实验数据的关系结构,其中水力阻力系数?由O. M. Ayvazyan给出的分段连续关系来描述。水力阻力系数结构关系的选择应能最大限度地概括科学技术文献中现有的实验数据。利用压力测量数据,确定水力阻力系数选择关系中包含的自由参数。提出了一种能够恢复水力阻力系数结构关系中参数值的数值计算算法。通过对众所周知的灵敏度函数法和压力测量数据在管道中的多次应用。描述了生成常微分方程计算系统的过程,该系统使每一组固定的实验数据(压力和流量)能够确定(或在必要时纠正)水力阻力系数?的统一结构关系中的相应参数。该算法的特点是没有嵌入周期。液压阻力系数变参数的动态控制?基于该方法可以提高泵送流体时流动参数的预测估计精度,并获得填充管内流体状态的附加数据。
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