Postprocessing for turbulent channel flow
-
Updated
Sep 29, 2017 - Python
Postprocessing for turbulent channel flow
This repository contains code to make a neural network that determines if an aircraft is flying through very turbulent, somewhat turbulent, or calm weather based on accelerometer readings. This also includes datasets and unlabeled data that requires processing to be used as datasets. The neural networks are written in Python, using Keras with Te…
Postprocessing of turbulent channel flow. Bunch of usefull scripts for reading binary files, computing statistics and fractal interpolation.
Analysis routines for χ-pods: uses output from chipod_gust package
Reproduction of main results of Computers & Fluids paper.
A synthetic, isotropic turbulence generator for constant density flows that enforces the discrete divergence-free condition.
Multi-fidelity Generative Deep Learning Turbulent Flows
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
Patil, Aakash, et al. "Robust deep learning for emulating turbulent viscosities." Physics of Fluids 33.10 (2021): 105118.
Code for the 1D vertical stochastic transport model of buoyant particles in the ocean described by Onink et al. (2022).
A small program in the framework of the course work in the discipline "Software Development" to obtain meteorological data, their processing and subsequent calculation of turbulence parameters based on them.
Python Package for Statistical Analysis of Turbulence Data
A GPU-enabled Gross-Pitaevskii equation solver.
Applying a Multi-Layer Perceptron Deep Neural Network to predict Lift and Drag performance of airfoils
A shenfun-based DNS solver for MicroPolar Fluids
[Journal of Turbulence, DCC 2022] Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers
A high performance data-driven and differentiable SPH fluid solver
Turbulent convection in a vertical column of PPD
Modules that help with the workflow for my research
Python implementation of Typhoon algorithm: dense estimation of 2D-3D optical flow on wavelet bases.
Add a description, image, and links to the turbulence topic page so that developers can more easily learn about it.
To associate your repository with the turbulence topic, visit your repo's landing page and select "manage topics."