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.
☆39Updated 7 months ago
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:
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆31Updated last year
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 10 years ago
- Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".☆33Updated last year
- Aeroelastic Composite Beam Analysis Tool☆18Updated 8 years ago
- ☆40Updated 2 years ago
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆9Updated 4 years ago
- High-aspect-ratio composite wing nonlinear aeroelastic toolbox☆17Updated 5 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Fluid-Structure Interaction Analysis Using FEM and UVLM☆25Updated 2 months ago
- CNN model to predict the lift-drag ratio of airfoil☆15Updated 4 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 5 years ago
- CNN for airfoil lift-to-drag-ratio prediction☆43Updated 6 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆14Updated last month
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆21Updated 5 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- An all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil☆36Updated last month
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆51Updated 5 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆27Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 3 months ago
- Mapping, Radial Basis Function, RBF, FSI☆11Updated 5 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆48Updated 3 years ago
- Python tool to genreate 2D meshes around airfoils☆37Updated 3 months ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆60Updated 4 years ago
- Blade Element Momentum Theory: developed during my Bachelor Thesis in Aerospace Engineering☆46Updated 3 years ago
- CFD methodology for analysis of steady turbulent flow over a horizontal axis wind/tidal turbine using Virtual Blade Model (VBM).☆11Updated 8 years ago
- Coding practice of Anderson's CFD book.☆23Updated 5 years ago
- Python script to run CFD analysis on airfoil using **OpenFOAM** to simulate and **gmsh** to generate mesh.☆24Updated 5 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