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barbagroup/CFDPython

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CFDPython

CFDPython is an educational resource for computational fluid dynamics and numerical analysis. It provides a structured curriculum to learn the physics of fluid flow by implementing numerical solutions to Navier-Stokes and partial differential equations.

The project is organized as a series of incremental coding exercises delivered via Jupyter notebooks. Users build mathematical models for linear convection, diffusion, and Poisson equations across one and two dimensions to understand concepts such as convergence, stability, and numerical diffusion.

The implementation utilizes NumPy for vectorization and Matplotlib for visual analysis, including the generation of heatmaps and contour plots. Technical coverage includes finite-difference discretization and the monitoring of stability via the Courant-Friedrichs-Lewy condition.

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Features

  • Interactive Notebook Learning Resources - Delivers a structured CFD curriculum via interactive Jupyter notebooks with incremental coding exercises.
  • Computational Fluid Dynamics Curricula - Provides a comprehensive educational resource for learning computational fluid dynamics through coding.
  • Fluid Dynamics Analysis - Teaches the analysis of liquid behavior by implementing numerical fluid dynamics models.
  • Fluid Dynamics Simulation - Provides a framework for simulating fluid dynamics by solving Navier-Stokes equations.
  • Convection-Diffusion Solvers - Implements numerical solutions for linear convection, diffusion, and Poisson equations.
  • Finite Difference Calculations - Implements finite-difference discretization to approximate partial differential equations on a discrete grid.
  • Poisson Equation Solvers - Provides numerical solvers for the Poisson equation to determine pressure fields in fluid flow.
  • CFL Condition Monitoring - Implements stability monitoring via the Courant-Friedrichs-Lewy condition to maintain simulation accuracy.
  • Convergence & Diffusion Analysis - Analyzes numerical stability and convergence through the measurement of numerical diffusion.
  • Matplotlib - Uses Matplotlib to generate heatmaps and contour plots for visualizing fluid velocity and pressure.
  • Differential Equation Solvers - Uses differential equation solvers to study numerical analysis concepts like convergence and stability.
  • Scientific Computing - Employs scientific computing techniques in Python to solve physics and fluid flow problems.
  • NumPy-Based Linear Algebra Implementations - Utilizes NumPy vectorization to perform bulk mathematical operations on multi-dimensional arrays.
  • Numerical Analysis Learning - Provides exercises to understand convergence, stability, and numerical diffusion in PDE solvers.
  • Scientific Computing Curricula - Implements a structured educational series for learning scientific computing and numerical analysis.
4,195 stars·1,337 forks·Jupyter Notebook·21 views

Star history

Star history chart for barbagroup/cfdpythonStar history chart for barbagroup/cfdpython

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does barbagroup/cfdpython do?

CFDPython is an educational resource for computational fluid dynamics and numerical analysis. It provides a structured curriculum to learn the physics of fluid flow by implementing numerical solutions to Navier-Stokes and partial differential equations.

What are the main features of barbagroup/cfdpython?

The main features of barbagroup/cfdpython are: Interactive Notebook Learning Resources, Computational Fluid Dynamics Curricula, Fluid Dynamics Analysis, Fluid Dynamics Simulation, Convection-Diffusion Solvers, Finite Difference Calculations, Poisson Equation Solvers, CFL Condition Monitoring.

Which projects share features with barbagroup/cfdpython?

Projects with overlapping indexed features include: weijie-chen/linear-algebra-with-python — Linear-Algebra-With-Python is an educational resource that provides a structured curriculum for learning linear… sciml/differentialequations.jl — DifferentialEquations.jl is a comprehensive numerical library designed for solving ordinary, stochastic, delay, and… scipy/scipy — SciPy is a scientific computing library for Python that provides a comprehensive collection of mathematical algorithms… lammps/lammps — This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements… nyandwi/machine_learning_complete — This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep… dusty-nv/jetson-inference — jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU…