Motivation
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One of the key challenges in Pipe Flow Dynamics is to predict the pressure distribution along the pipe during the stationary fluid transport.
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Pipeline Flow Pressure Model is addressing this problem with account of the varying pipeline trajectory, gravity effects and fluid friction with pipeline walls.
Outputs
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Inputs
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Assumptions
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Equations
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| \left( 1 - \frac{\rho_s^20^2 \, q_s^20^2}{A^2} \cdot \frac{c(p)}{\rho} \right) \frac{dp}{dl} = \rho \, g \, \cos \theta(l) - \frac{\rho_s^20^2 \, q_s^20^2 }{2 A^2 d} \frac{f({\rm Re}, \, \epsilon)}{\rho} |
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| p(l=0) = p_s0 |
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| u(l) = \frac{\rho_s0 \cdot q_s0}{\rho(T(l), p(l))) \cdot A} |
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| q(l) = \frac{\rho_s0 \cdot q_s0}{\rho(T(l),p(l))} |
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where
| fluid flow rate at pipe intake |
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body | \rho_s 0 = \rho(T_s0, p_s0) |
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| fluid density at intake temperature and pressure |
| Fluid Compressibility |
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body | --uriencoded--f(%7B\rm Re%7D, \, \epsilon) |
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| Darcy friction factor |
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body | --uriencoded--\displaystyle %7B\rm Re%7D = \frac%7Bu(l) \cdot d%7D%7B\nu(l)%7D = \frac%7B4 \rho_s 0 q_s%7D%7B0%7D%7B\pi d%7D \frac%7B1%7D%7B\mu(T, p)%7D |
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| Reynolds number |
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body | --uriencoded--\displaystyle d = \sqrt%7B \frac%7B4 A%7D%7B\pi%7D%7D |
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| characteristic linear dimension of the pipe (or exactly a pipe diameter in case of a circular pipe) |
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