npuljc / Airfoil_preprocessing
☆11Updated 5 years ago
Alternatives and similar repositories for Airfoil_preprocessing:
Users that are interested in Airfoil_preprocessing are comparing it to the libraries listed below
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- ☆35Updated 2 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆45Updated 2 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".☆31Updated 10 months ago
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆33Updated 7 months ago
- An all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil☆22Updated last year
- ☆20Updated 3 years ago
- ☆27Updated 5 years ago
- Python tool to genreate 2D meshes around airfoils☆26Updated last year
- Solves RANS-equations for fully developed turbulent channel flow with variable properties☆44Updated last year
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Pythonic spectral proper orthogonal decomposition☆34Updated 2 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆56Updated 4 years ago
- ☆11Updated last year
- Airfoil shape optimization using Reinforcement Learning☆14Updated last year
- Thoughts about ML committee for OpenFOAM☆36Updated 2 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆24Updated last year
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆19Updated 3 weeks ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆18Updated 3 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆26Updated 4 years ago
- A python based blade parametrization tool☆53Updated 5 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆22Updated last year
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆32Updated 9 years ago
- High-aspect-ratio composite wing nonlinear aeroelastic toolbox☆16Updated 5 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆27Updated last year
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 6 years ago
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆46Updated 4 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆85Updated 3 months ago
- Stability and resolvent analysis of compressible viscous flows in MATLAB☆12Updated 4 months ago