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CFDPython Alternatives
Similar projects and alternatives to CFDPython
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AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
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homemade-machine-learning
đ¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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Nalu
Nalu: a generalized unstructured massively parallel low Mach flow code designed to support a variety of open applications of interest built on the Sierra Toolkit and Trilinos solver Tpetra solver stack. The open source BSD, clause 3 license model has been chosen for the code base. See LICENSE for more information.
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wordle-solver
Discontinued For educational purposes, a simple script that assists in solving the word game Wordle. (by christian-deleon)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Flow
Flow is a sparse grid-based fluid simulation library for real-time applications. (by NVIDIAGameWorks)
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CFDJulia
An IJulia notebook adaptation of Loren Barba's "12 Steps to Navier-Stokes" http://lorenabarba.com/
CFDPython discussion
CFDPython reviews and mentions
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Getting started with OpenFoam and Code Contributions
Is 12 steps to Navier Stokes a good start? I have done all the modules, wrote all the code by myself (except for the plotting part which I had literally no experience in) and I am trying to solve some random problems in the J P Holman heat transfer book. Then I am thinking of going through the Application part of Anderson CFD.
- Which one is best for numerical simulations for fluid mechanics [mostly linear terms].
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Five-point stencil in Python for calculating 2D Laplacian
Thank you for posting the most in-depth reply I have ever received on Reddit. This is some very good advice. I'm constantly trying to get a better understanding of solving differential equations; consequently, I'm currently solving the Gray-Scott diffusion model. My example above is based on what I've done for the Gray-Scott model. Since you seem to have experience in this area, do you have any books that you recommend for learning more about writing code to solve differential equations using finite differences, finite element, or finite volume methods? I have some books that talk about the theory but haven't found anything that gives good code examples related to the math. CFD Python has been a great resource but it doesn't provide the depth that a book would give.
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CFD and Numerical Methods Code Projects/Assignments
updated link
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Lid driven Cavity flow - Step 11 of Prof. Lorena Barba 's CFD - python module
CFDPython/14_Step_11.ipynb at master ¡ barbagroup/CFDPython (github.com)
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Want to move on from Fluent to actually learning CFD.
This course is freely available and gives a very good hands on introduction to incompressible CFD solvers: https://github.com/barbagroup/CFDPython
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Your MBTI type and current obsession?
For CFD, I just starred looking into it recently and trying to avoid paying premium for the software and came across this recently. https://github.com/barbagroup/CFDPython
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Poisson's Equation is the most powerful tool not yet in your toolbox
There are many different ways to do what you'd like. The easiest starting point would probably be this tutorial: https://github.com/barbagroup/CFDPython
But that won't handle turbulence. The real "turbulence problem" is that computing actual turbulent flows requires enormous computational resources. So instead of solving the Navier-Stokes equations, related equations with lower computational cost are solved. Because of how these equations are developed, they require modeling of "unclosed" terms, and this is a likely source of inaccuracy.
If you want something relatively simple, you could take the RANS approach and use the Spalart-Allmaras model:
https://www.cfd-online.com/Wiki/Introduction_to_turbulence/R...
https://www.cfd-online.com/Wiki/Spalart-Allmaras_model
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Hello guys ! I am new to learning CFD (currently in 2nd year of my undergraduate program). I am thinking of doing it all by myself. Can anybody suggest me where to start and it what order should I proceed.
12 Steps to Navier Stokes by Lorena Barba link
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Complexity Explained
I sniff an air of condescension; whatâs your goals therein? Are you posturing your âmathsâ knowledge?
I thought I was explicit in my criticism of ânotation onlyâ explanations, but perhaps a positive example would be more explicit.
https://github.com/barbagroup/CFDPython
This repo explains computational fluid dynamics (an example of a complex system!) from âwhat is a python functionâ to â2d Navier stokesâ.
It shows the work of how to discretize âlatex beautifiedâ notation, shows the relationship between the computations and the notation, and even explains when their LaTex strays from âconventional use of notationâ and why.
The authors even throw in traditional handwritten board lecture videos if that helps you learn better.
complexityexplained reads like itâs written by the Spider-Man points at Spider-Man meme.
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barbagroup/CFDPython is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of CFDPython is Jupyter Notebook.