Can this SPH solver reproduce Hagen–Poiseuille?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- computer-graphics
Research direction
No files, tests, or entry points are named. Start by locating the solver and any existing flow examples, then compare a plain 2D channel run with the stated Hagen–Poiseuille velocity profile; done means determining whether diffSPH can reproduce it.
Written by the indexing model from the issue text.
Description
Pipe flow is one of the few areas in which we can derive a mathematical solution to the Navier–Stokes equation.
Over the last few months I was exposed to some SPH solvers and it was interesting to see that non was able to acurately reproduce the velocity profile
u(y) = \frac{G}{2\mu} y(h-y), \quad G = -\frac{dp}{dx}
for the plain Poiseuille flow. The pressure gradient that drives the flow can be any body force, $h$ is the width of the 2d channel, $\mu$ the viscosity and $u$ is the velocity.
Would it be possible to simulate something like this with diffSPH?
- Dominant language
- Jupyter Notebook
- Stars
- 61
- Forks
- 9
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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