Influential factors of friction factor of head loss are analyzed by adopting artificial neural network (ANN).

采用神经网络(ANN)方法对沿程水头损失系数的影响因素进行了分析。

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Calculation formula of velocity distribution, boundary layer thickness, friction force and loss of water head are given out, in accordance with the result from theory analysis of similitude solution.

对于速度边界层提出了相似性解的解析结果，给出了速度分布、边界层厚度、摩擦阻力和水头损失的解析计算表达式。

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While flowing through a pipe, the fluid is subjected to the loss of head due to the friction of the inner surface of the pipe against it.

流体流经管道时，由于管道表面的摩擦力而产生力头损失。

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