Saakaarb / Deep-Learning-for-Aerodynamic-PredictionLinks
This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.
☆43Updated last year
Alternatives and similar repositories for Deep-Learning-for-Aerodynamic-Prediction
Users that are interested in Deep-Learning-for-Aerodynamic-Prediction are comparing it to the libraries listed below
Sorting:
- Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".☆34Updated last year
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆32Updated last year
- ☆45Updated 3 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Updated 10 years ago
- High-aspect-ratio composite wing nonlinear aeroelastic toolbox☆18Updated 6 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…☆33Updated 5 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆70Updated last week
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆16Updated 2 weeks ago
- Aeroelastic Composite Beam Analysis Tool☆19Updated 9 years ago
- Fluid-Structure Interaction Analysis Using FEM and UVLM☆26Updated 4 months ago
- This repository contains the source code for a modified Beddoes-Leishman dynamic stall model☆14Updated 3 years ago
- CNN for airfoil lift-to-drag-ratio prediction☆45Updated 6 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 4 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Multi-head attention network for airfoil flow field prediction☆17Updated 3 years ago
- Python tool to genreate 2D meshes around airfoils☆43Updated 8 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆28Updated 2 years ago
- CNN model to predict the lift-drag ratio of airfoil☆18Updated 4 years ago
- Python script to run CFD analysis on airfoil using **OpenFOAM** to simulate and **gmsh** to generate mesh.☆28Updated 6 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆29Updated 2 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Updated 5 years ago
- ☆44Updated 3 years ago
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆45Updated last year
- Source and vortex panel method codes referenced in my YouTube videos.☆108Updated 5 years ago
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆51Updated 5 years ago
- Implementation of the Blade Element Momentum Theory for turbines and propellers in Python☆80Updated 3 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆21Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Updated 3 years ago
- Example case for OpenFOAM overset meshing with dynamic meshes. This case has two contra rotating 60mm propellers that are inline with one…☆10Updated 4 years ago
- ☆89Updated last year