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Some explicit formulations of Colebrook-White friction factor considering accuracy vs. computational speed

机译:考虑精度与计算速度的Colebrook-White摩擦因数的一些明确公式

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The Colebrook-White formulation of the friction factor is implicit and requires some iterations to be solved given a correct initial search value and a target accuracy. Some new explicit formulations to efficiently calculate the Colebrook-White friction factor are presented herein. The aim of this investigation is twofold: (i) to preserve the accuracy of estimates while (ii) reducing the computational burden (i.e. speed). On the one hand, the computational effectiveness is important when the intensive calculation of the friction factor (e.g. large-size water distribution networks (WDN) in optimization problems, flooding software, etc.) is required together with its derivative. On the other hand, the accuracy of the developing formula should be realistically chosen considering the remaining uncertainties surrounding the model where the friction factor is used. In the following, three strategies for friction factor mapping are proposed which were achieved by using the Evolutionary Polynomial Regression (EPR). The result is the encapsulation of some pieces of the friction factor implicit formulae within pseudo-polynomial structures.
机译:摩擦系数的Colebrook-White公式是隐式的,在给定正确的初始搜索值和目标精度的情况下,需要解决一些迭代问题。本文介绍了一些可以有效计算Colebrook-White摩擦系数的新的明确公式。该调查的目的是双重的:(i)保持估计的准确性,同时(ii)减少计算负担(即速度)。一方面,当需要对摩擦因数(例如优化问题中的大型配水网(WDN),洪水软件等)进行密集计算及其导数时,计算效率非常重要。另一方面,应考虑使用摩擦系数的模型周围的不确定性,切实选择开发公式的准确性。在下文中,提出了三种摩擦系数映射策略,这些策略是通过使用进化多项式回归(EPR)实现的。结果是将一些摩擦因数隐式公式封装在伪多项式结构中。

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