CFDPython

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 How to implement the changes to the final part of Lorena Barba's tutorial sho

So, you actually mean that you hope not to see equations. But it's the equations that are the real meat of these things. Pictures are pretty, but they are generated from the equations, and the equations capture the understanding and the modelling. The equations are the content, it's the equations that let us do calculations, predictions, and quantitative analysis. What would you hope to see instead? I don't understand what you're asking for. Are you asking to understand these things without doing the actual mathematics? That would seem rather ambitious, so I'm guessing I don't know what you're asking for. I see elsewhere you've pointed here: https://github.com/barbagroup/CFDPython That amounts to an entire course on the subject. So if you're asking to have that sort of thing instead of a page that shows the equations and the maths, t

I sniff an air of condescension; what’s your goals therein? Are you posturing your ‘maths’ knowledge? I thought I was explicit in my criticism of “notation only” 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 “what is a python function” to “2d Navier stokes”. It shows the work of how to discretize ‘latex beautified’ notation, shows the relationship between the computations and the notation, and even explains when their LaTex strays from “conventional use of notation” and why. The authors even throw in traditional handwritten board lecture videos if that helps you learn better. complexityexplained reads like it’s written by the Spider-Man points at Spider-Man meme.

See also by the same professor CFD Python: 12 Steps to Navier-Stokes: https://github.com/barbagroup/CFDPython

I've been taking a similar approach and pursuing this topic by getting into Computational Fluid Dynamics and understanding physics in code first, then trying to bridge the code to the more rigorous mathematical representation. This is after I tried reading a bunch of physics books and, while interesting, I couldn't really get my head around "Ok, so how would I program something like that?" But then there's this, you might find it interesting, it helped me understand how everything fits together a lot more: https://github.com/barbagroup/CFDPython Also, physics is a big area, so this is just one part, specifically the physics of fluid simulation. But there's a big market behind CFD too, so you could do worse in picking something with some directly practical application.

This 12 Steps to Navier-Stokes tutorial was posted here not too long ago can't find the original post, but here is the link to Prof. Lorena Barba's tutorial. It uses IPython to work through the equations. https://github.com/barbagroup/CFDPython