Daniel Mendes
Daniel Mendes
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3D Turbulence - Pseudo-spectral DNS Simulation in Python - Taylor–Green Vortex - Top face StreamPlot
Pseudo-spectral DNS simulation made in python, showing the StreamPlot of the Velocity of the top face (xy plane with z=2*pi) of a 3D Taylor-Green vortex simulation. The code used was based on Mortensen, M. and Langtangen, H. P. (2016) methodology for 3D high performance turbulence simulations.
Some parameters of the simulation were:
Reynolds Number=1600;
Total Physical Time: 20;
Time Step: 0.05;
Physical Box: [0, 2*pi]^3;
Grid Size: 128^3;
Initial Conditions: Velocity field initialized with the following initial conditions: u=sin(x)*cos(y)*cos(z), v=-cos(x)*sin(y)*cos(z) and w=0;
Boundary Conditions=Periodic.
The simulation was conducted on a single CPU using Google Colab.
Переглядів: 45

Відео

3D Turbulence - Pseudo-spectral DNS Simulation in Python - Taylor-Green Vortex - Top face
Переглядів 52Місяць тому
Pseudo-spectral DNS simulation made in python, showing the top face (xy plane with z=2*pi) of a 3D Taylor-Green vortex simulation. The code used was based on Mortensen, M. and Langtangen, H. P. (2016) methodology for 3D high performance turbulence simulations. Some parameters of the simulation were: Reynolds Number=1600; Total Physical Time: 20; Time Step: 0.05; Physical Box: [0, 2*pi]^3; Grid ...
3D Turbulence - Pseudo-spectral DNS Simulation in Python - Taylor-Green Vortex
Переглядів 1052 місяці тому
Pseudo-spectral DNS simulation made in python. The code used was based on Mortensen, M. and Langtangen, H. P. (2016) methodology for 3D high performance turbulence simulations. Some parameters of the simulation were: Reynolds Number=1600; Total Physical Time: 20; Time Step: 0.05; Physical Box: [0, 2*pi]^3; Grid Size: 128^3; Initial Conditions: Velocity field initialized with the following initi...
2D Turbulence - Pseudo-spectral DNS Simulation in Python - Perlin Noise
Переглядів 942 місяці тому
Pseudo-spectral DNS simulation made in python. The code used was based on Mortensen, M. and Langtangen, H. P. (2016) methodology for 3D high performance turbulence simulations, but customized to work on two dimensions with a vorticity formulation. Some parameters of the simulation were: Reynolds Number=16000; Total Physical Time: 300; Time Step: 0.005; Physical Box: [0, 2*pi]^2; Grid Size: 512^...
(COM AUDIO) Pitch - Projeto Deep_COVID-19 para a Hackathon Hackcovid-19 do CBPF
Переглядів 204 роки тому
Este é um Pitch de nosso projeto para a Hackathon Hackcovid-19 do CBPF. Links dos repositórios no GitHub: Parte 1: github.com/Gremling-Machine-L... Parte 2: github.com/Gremling-Machine-L...
Pitch - Projeto Deep_COVID-19 para a Hackathon Hackcovid-19 do CBPF
Переглядів 1124 роки тому
Este é um Pitch de nosso projeto em foma de slides para a Hackathon Hackcovid-19 do CBPF. Links dos repositórios no GitHub: Parte 1: github.com/Gremling-Machine-Learning-Study-Group/Estimativa-de-mortes-por-COVID-19-subnotificadas-no-Brasil D051 HACKCOVID-19 Parte 2: github.com/Gremling-Machine-Learning-Study-Group/Deep-Learning-na-analise-de-imagens-de-raio-x-para-auxilio-na-decisao-clinica-de...

КОМЕНТАРІ

  • @luanorionbarauna8555
    @luanorionbarauna8555 2 місяці тому

    Parabéns pela simulação! Ficou muito bom o seu trabalho!

  • @mendes_daniel
    @mendes_daniel 4 роки тому

    Link do projeto no Devpost: devpost.com/software/test_deep_covid-19#updates

  • @mendes_daniel
    @mendes_daniel 4 роки тому

    Link do projeto no Devpost: devpost.com/software/test_deep_covid-19#updates